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The Unit Graphs Framework: A graph-based 
Knowledge Representation Formalism designed 
for the Meaning-Text Theory 
& 
Application to Lexicographic Definitions in the 
RELIEF project 
Maxime Lefrançois, Fabien Gandon 
[ maxime.lefrancois | fabien.gandon ] @inria.fr 
MTT’13 -1, August 30th 2013, Prague
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 2 
Knowledge Representation 
• answers recurrent needs 
▫ represent 
▫ manipulate 
▫ query 
▫ reason 
▫ share 
▫ ... 
• here: applied to the linguistic domain 
▫ Meaning-Text Theory
3 
Choose Formalism 
Populate 
Applications 
t 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation
4 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Choose Formalism 
Populate 
Applications 
t 
1. Choose Formalism
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
5 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
6 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Meaning-Text Theory 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
65 – Begining 
88 – Dependency Grammar 
91 – Introduction à la Lexicologie Explicative et Combinatoire 
96 – Lexical Functions 
04 – Actants in Semantics and Syntax
7 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Meaning-Text Theory 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
65 – Begining 
88 – Dependency Grammar 
91 – Introduction à la Lexicologie Explicative et Combinatoire 
96 – Lexical Functions 
04 – Actants in Semantics and Syntax
8 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 1: Lexicographic Definitions in 
RELIEF 
(Polguère, 2009; Lux-Pogodalla & Polguère, 2011) 
PEIGNE2a : 
(Weaving tool that a person X uses to untangle#2 fibres of an object Y) 
~ of a person X for object Y 
<CC label="tool">weaving tool</CC> 
<PC role="use">that X uses to untangle#2 fibres of Y</PC> 
(Barque & Polguère, 2008)
9 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 1: Lexicographic Definitions in 
RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) 
PEIGNE2a : 
(Weaving tool that a person X uses to untangle#2 fibres of an object Y) 
~ of a person X for object Y 
<CC label="tool">weaving tool</CC> 
<PC role="use">that X uses to untangle#2 fibres of Y</PC> 
TOOL 
~ of person X for activity Y 
PEIGNER2 : 
person X ~ fibres Y 
(Barque & Polguère, 2008)
10 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 1: Lexicographic Definitions in 
RELIEF 
(Polguère, 2009; Lux-Pogodalla & Polguère, 2011) 
PEIGNE2a : 
(Weaving tool that a person X uses to untangle#2 fibres of an object Y) 
~ of a person X for object Y 
<CC label="tool">weaving tool</CC> 
<PC role="use">that X uses to untangle#2 fibres of Y</PC> 
TOOL 
~ of person X for activity Y 
PEIGNER2 : 
person X ~ fibres Y 
(Barque and Polguère, 2008)
11 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 1: Lexicographic Definitions in 
RELIEF 
(Polguère, 2009; Lux-Pogodalla & Polguère, 2011) 
PEIGNE2a : 
(Weaving tool that a person X uses to untangle#2 fibres of an object Y) 
~ of a person X for object Y 
<CC label="tool">weaving tool</CC> 
<PC role="use">that X uses to untangle#2 fibres of Y</PC> 
TOOL 
~ of person X for activity Y 
PEIGNER2 : 
person X ~ fibres Y 
(Barque and Polguère, 2008) 
Formalization level not reached today
12 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Meaning-Text Theory 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
65 – Begining 
88 – Dependency Grammar 
91 – Introduction à la Lexicologie Explicative et Combinatoire 
96 – Lexical Functions 
04 – Actants in Semantics and Syntax
13 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 2: Theory of Semantic Actants 
Linguistic Predicates 
Semantic Actant Slots (SemASlots) 
(Mel’cuk, 2004) 
= Participants of the linguistic situation denoted by L 
that have a favoured position in sentences constructed with L
14 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 2: Theory of Semantic Actants 
Linguistic Predicates 
Semantic Actant Slots (SemASlots) 
(Mel’cuk, 2004) 
= Participants of the linguistic situation denoted by L 
that have a favoured position in sentences constructed with L
15 
Need 2: Theory of Semantic Actants 
Linguistic Predicates 
(Mel’cuk, 2004) 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
optional 
logical 
predicate ≠ 
(to eat)(Paul ; eggs ; plate)
16 
Need 2: Theory of Semantic Actants 
Linguistic Predicates 
(Mel’cuk, 2004) 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
optional 
(to eat)(Paul ; eggs ; plate) 
(outil)(Paul ; Untangle) 
(outil)(Paul ; Carpenter) 
split 
logical 
predicate ≠
17 
Need 2: Theory of Semantic Actants 
Linguistic Predicates 
(Mel’cuk, 2004) 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
optional 
logical 
predicate ≠ 
(to eat)(Paul ; eggs ; plate) 
(outil)(Paul ; Untangle) 
(outil)(Paul ; Carpenter) 
split 
an actant may be a predicate
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
18 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
19 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Semantic Web 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
RDF: oriented labelled graphs. 
standard for the representation and exchange 
of structured knowledge 
OWL: Description Logics 
SPARQL: Query, ...
20 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Semantic Web 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
Problems in word word 
• RDF: not enough logical semantics 
OK as syntax for knowledge exchange
21 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Semantic Web 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
Problems in word word 
• OWL: only binary relations 
reify ? -> no logical semantics
22 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
ULiS project: represent lexicographic definitions with OWL 
(Lefrançois & Gandon, MTT’2011, TIA’2011, MSW’2011) 
Semantic Web
23 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Semantic Web 
1893 54 59 
Problems in word word 
ULiS 
1932 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
need OWL full + rules (undecidable)
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
24 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
25 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Conceptual Graphs 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
1940 
84 
J.F. Sowa 
• Oriented labelled Graphs 
• Sowa drew his inspiration from Tesnière 
• Rules, reasoning, (Baget, Mugnier, Chein, ...) 
• Concepts and Relations definitions, (Sowa, Leclère, ...)
26 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Conceptual Graphs 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
1940 
84 
J.F. Sowa 
Problems in word word 
• Alternation concept-relation
27 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Conceptual Graphs 
1932 
1893 54 59 
65 
88 96 
04 
L. Tesnière 
I.A. Mel’cuk 91 
1940 
84 
J.F. Sowa 
Problems in word word 
• Alternation concept-relation 
• reify ? -> no logical semantics
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
28 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
29 
t 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Choose Formalism 
Populate 
The Unit Graphs Formalism 
• a graph-based formalism, 
• to represent linguistic units 
Applications
30 
t 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Choose Formalism 
Populate 
The Unit Graphs Formalism 
Draw inspiration from GC 
and 
Develop a RDF syntax 
to exchange knowledge 
Applications
31 
t 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Choose Formalism 
Populate 
The Unit Graphs Formalism 
Applications 
Draw inspiration from GC 
and 
Develop a RDF syntax 
to exchange knowledge
32 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Units – Representations 
(c.f., Mel’čuk, 2004) 
Unit Types – Lexicon
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
33 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
34 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Surface 
Semantics 
Deep 
Syntax 
Surface 
Syntax 
Texts 
Linguistic Unit Types
35 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Surface 
Semantics 
Deep 
Syntax 
Surface 
Syntax 
Texts 
Linguistic Unit Types 
• have an Actantial structure 
▫ Optional, obligatory, prohibited Actant Slots (ASlots) 
▫ have a signature 
It specifies how their instances 
shall be linked to other units in UGs
36 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Surface 
Semantics 
Deep 
Syntax 
Surface 
Syntax 
Texts 
Linguistic Unit Types 
• have an Actantial structure 
▫ Optional, obligatory, prohibited Actant Slots (ASlots) 
▫ have a signature 
It specifies how their instances 
shall be linked to other units in UGs 
• are described in a hierarchy 
▫ a Unit Type inherits and may specialize 
the Actantial Structure of its parents
37 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Hierarchy of Unit Types 
Actant Symbols (ASymbols) 
Surface Semantics: Numbers 
Deep Syntax: Roman numerals 
...
38 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Hierarchy of Unit Types 
Primitive Unit Types (PUTs) 
is the disjoint union of: 
 the set of declared PUTs 
ex: Lexical unit type ANIMAL 
Grammatical unit type Verb, Noun, plur 
Surface Semantic unit type (animal) 
radices (the roots) 
obligant (those that make obligatory) 
 prohibent (those that prohibit) 
The prime absurd PUT 
The prime universal PUTs
39 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Hierarchy of Unit Types 
The Actantial Structure of Unit Types 
is the set of its obligatory, prohibited, 
and optional ASlots, and their signature
40 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Hierarchy of Unit Types 
Pre-order over PUTs 
is used to compute a pre-order over PUTs, 
and to assign a set of ASlots to each PUT. 
t has an ASlot s iif t is a descendent of γ(s) s ϵ α(t) 
Aslot s is obligatory iif t is a descendent of γ1(s) s ϵ α1(t) 
ASlot s is prohibited iif t is a descendent of γ0(s) s ϵ α0(t) 
ASlot s is optional iif t is neither obligatory nor prohibited s ϵ α? (t) 
ex: X eats Y (in Z) : (γ1(1), (eat)), (γ1(2), (eat)), (γ(3), (eat)) 
(γ(subject), Verb) 
(pluralizable, plur) 
((animal) ,(dog)) ?
41 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Hierarchy of Unit Types 
Signatures of ASlots 
denotes the type of units 
that fill ASlot s of a unit of type t 
ex:
42 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Hierarchy of Unit Types 
A Unit may consist of several conjoint PUTs 
Conjunctive Unit Types (CUTs) 
ex: { def, plur, ANIMAL } ((the animals)) 
 the actantial structure of PUTs 
is naturally extended to CUTs 
some CUTs are asserted to be absurd. 
 the pre-order over PUTs 
is extended to a pre-order over CUTs 
absurd CUTs are those lower than 
the prime absurd PUT
43 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
≃ 
radix 
obligat 
prohibet 
absurd 
Organization of the Unit Types Hierarchy 
with respect to a unique ASymbol s 
The complete Unit Types Hierarchy 
is an intricated superposition of such figures
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
44 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 45 
Hierarchy of Meanings ? 
hierarchy of UT 
? 
= 
hierarchy of meanings
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 46 
Hierarchy of Meanings ? 
hierarchy of UT 
? 
= 
hierarchy of meanings 
• (outil) (tool) 
• ASlot 1 – person that uses the tool 
• ASlot 2 – either activity or profession 
• (ciseaux) (scissors) 
• ASlot 1 – person that uses the scissors 
• ASlot 2 – the object to be cut
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 47 
Hierarchy of Meanings ? 
• (outil) (tool) 
Is an activity or a profession 
a kind of object ? 
- NO ! 
• ASlot 1 – person that uses the tool 
• ASlot 2 – either activity or profession 
• (ciseaux) (scissors) 
• ASlot 1 – person that uses the scissors 
• ASlot 2 – the object to be cut
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 48 
Hierarchy of Meanings ? 
• We introduce a deeper level of representation: 
The Deep Semantic Level 
• notation /outil 
• ASymbols are Lexicalized semantic roles 
hierarchy of DSemUT 
= 
hierarchy of meanings
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 49 
Deep Semantic Unit Types 
• ASlots of /L correspond to: 
Obligatory or optional participants of SIT(L) 
that are: 
• SemASlots of L 
• or SemASlots of a L’ such that /L’ < /L
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 50 
Deep Semantic Unit Types 
Example of inheritance and specialization 
in the hierarchy of Deep Semantic Unit Types
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
51 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
52 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 1: Lexicographic Definitions in 
RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) 
PEIGNE2a : 
(Weaving tool that a person X uses to untangle#2 fibres of an object Y) 
~ of a person X for object Y 
<CC label="tool">weaving tool</CC> 
<PC role="use">that X uses to untangle#2 fibres of Y</PC> 
TOOL 
~ of person X for activity Y 
PEIGNER2 : 
person X ~ fibres Y 
(Barque & Polguère, 2008)
53 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Need 1: Lexicographic Definitions in 
RELIEF 
(Polguère, 2009; Lux-Pogodalla & Polguère, 2011) 
PEIGNE2a : 
(Weaving tool that a person X uses to untangle#2 fibres of an object Y) 
~ of a person X for object Y 
<CC label="tool">weaving tool</CC> 
<PC role="use">that X uses to untangle#2 fibres of Y</PC> 
TOOL 
~ of person X for activity Y 
PEIGNER2 : 
person X ~ fibres Y 
(Barque and Polguère, 2008)
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
54 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
55 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Definition 1: Actantial Structure
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
56 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
57 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Unit Graphs 
are defined over a Support 
Unit Node Markers 
Arbitrary Symbols 
Every Element of M identifies a specific unit; 
Multiple elements of M may identify the same unit.
58 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Unit Graphs 
are defined over a Support 
Unit nodes 
Unit nodes labels : a type + a marker 
 Actantial triples 
Circumstantial triples 
Declared equivalences of unit nodes
59 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
PUT Definition 
The Lexicographic definition of L 
corresponds to the definition of /L
60 
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
PUT Definition 
The Lexicographic definition of L 
corresponds to the definition of /L 
• An equivalence between two Unit Graphs
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
61 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 62 
Definition 2: DSemUT Definition
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 63 
Definition 2: DSemUT Definition
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 64 
Definition 2: DSemUT Definition
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 65 
Definition 2: DSemUT Definition
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 66 
Definition 2: DSemUT Definition
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 67 
Definition 2: DSemUT Definition
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
1. Choose Formalism 
68 
• Needs, problems 
• Semantic Web ? 
▫ false good idea 
• Conceptual Graphs ? 
▫ nop 
• The Unit Graphs formalism 
▫ Hierarchy of Unit Types 
• A deep representation level for meanings 
• Application to Lexicographic Definitions in RELIEF 
▫ Scenario: Actantial Structure 
▫ Unit Graphs and PUT Definitions 
▫ Scenario: DSemUT formal Definition 
▫ Scenario: Deep-Surface Correspondence
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 69 
Definition 3: 
Deep – Surface correspondence
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
• Design of a prototype web application to represent 
formal lexicographic definitions using UGs 
• Demonstration online (in French) Edition of the 
lexicographic definition of lexical unit PEIGNE2a 
▫ wimmics.inria.fr/doc/video/UnitGraphs/editor1.html 
• Validation with the RELIEF lexicographers 
70 
Implementation / Validation
Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 
Conclusions 
71 
• Linguistic Knowledge Representation 
• 1. Choose Formalims 
• Identify limitations of existing formalisms 
• Suppress these limitations with the Unit Graphs 
▫ Hierarchy of Unit Types 
▫ Need 2: Theory of semantic actants 
▫ Need 1: Lexicographic Definitions in the RLF
MTT’13 , August 30th 2013, Prague 
The Unit Graphs Framework: A graph-based 
Knowledge Representation Formalism designed 
for the Meaning-Text Theory 
& 
Application to Lexicographic Definitions in the 
RELIEF project 
Thank you

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MTT-2013

  • 1. The Unit Graphs Framework: A graph-based Knowledge Representation Formalism designed for the Meaning-Text Theory & Application to Lexicographic Definitions in the RELIEF project Maxime Lefrançois, Fabien Gandon [ maxime.lefrancois | fabien.gandon ] @inria.fr MTT’13 -1, August 30th 2013, Prague
  • 2. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 2 Knowledge Representation • answers recurrent needs ▫ represent ▫ manipulate ▫ query ▫ reason ▫ share ▫ ... • here: applied to the linguistic domain ▫ Meaning-Text Theory
  • 3. 3 Choose Formalism Populate Applications t Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation
  • 4. 4 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Choose Formalism Populate Applications t 1. Choose Formalism
  • 5. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 5 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 6. 6 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Meaning-Text Theory 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 65 – Begining 88 – Dependency Grammar 91 – Introduction à la Lexicologie Explicative et Combinatoire 96 – Lexical Functions 04 – Actants in Semantics and Syntax
  • 7. 7 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Meaning-Text Theory 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 65 – Begining 88 – Dependency Grammar 91 – Introduction à la Lexicologie Explicative et Combinatoire 96 – Lexical Functions 04 – Actants in Semantics and Syntax
  • 8. 8 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 1: Lexicographic Definitions in RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) PEIGNE2a : (Weaving tool that a person X uses to untangle#2 fibres of an object Y) ~ of a person X for object Y <CC label="tool">weaving tool</CC> <PC role="use">that X uses to untangle#2 fibres of Y</PC> (Barque & Polguère, 2008)
  • 9. 9 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 1: Lexicographic Definitions in RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) PEIGNE2a : (Weaving tool that a person X uses to untangle#2 fibres of an object Y) ~ of a person X for object Y <CC label="tool">weaving tool</CC> <PC role="use">that X uses to untangle#2 fibres of Y</PC> TOOL ~ of person X for activity Y PEIGNER2 : person X ~ fibres Y (Barque & Polguère, 2008)
  • 10. 10 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 1: Lexicographic Definitions in RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) PEIGNE2a : (Weaving tool that a person X uses to untangle#2 fibres of an object Y) ~ of a person X for object Y <CC label="tool">weaving tool</CC> <PC role="use">that X uses to untangle#2 fibres of Y</PC> TOOL ~ of person X for activity Y PEIGNER2 : person X ~ fibres Y (Barque and Polguère, 2008)
  • 11. 11 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 1: Lexicographic Definitions in RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) PEIGNE2a : (Weaving tool that a person X uses to untangle#2 fibres of an object Y) ~ of a person X for object Y <CC label="tool">weaving tool</CC> <PC role="use">that X uses to untangle#2 fibres of Y</PC> TOOL ~ of person X for activity Y PEIGNER2 : person X ~ fibres Y (Barque and Polguère, 2008) Formalization level not reached today
  • 12. 12 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Meaning-Text Theory 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 65 – Begining 88 – Dependency Grammar 91 – Introduction à la Lexicologie Explicative et Combinatoire 96 – Lexical Functions 04 – Actants in Semantics and Syntax
  • 13. 13 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 2: Theory of Semantic Actants Linguistic Predicates Semantic Actant Slots (SemASlots) (Mel’cuk, 2004) = Participants of the linguistic situation denoted by L that have a favoured position in sentences constructed with L
  • 14. 14 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 2: Theory of Semantic Actants Linguistic Predicates Semantic Actant Slots (SemASlots) (Mel’cuk, 2004) = Participants of the linguistic situation denoted by L that have a favoured position in sentences constructed with L
  • 15. 15 Need 2: Theory of Semantic Actants Linguistic Predicates (Mel’cuk, 2004) Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation optional logical predicate ≠ (to eat)(Paul ; eggs ; plate)
  • 16. 16 Need 2: Theory of Semantic Actants Linguistic Predicates (Mel’cuk, 2004) Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation optional (to eat)(Paul ; eggs ; plate) (outil)(Paul ; Untangle) (outil)(Paul ; Carpenter) split logical predicate ≠
  • 17. 17 Need 2: Theory of Semantic Actants Linguistic Predicates (Mel’cuk, 2004) Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation optional logical predicate ≠ (to eat)(Paul ; eggs ; plate) (outil)(Paul ; Untangle) (outil)(Paul ; Carpenter) split an actant may be a predicate
  • 18. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 18 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 19. 19 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Semantic Web 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 RDF: oriented labelled graphs. standard for the representation and exchange of structured knowledge OWL: Description Logics SPARQL: Query, ...
  • 20. 20 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Semantic Web 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 Problems in word word • RDF: not enough logical semantics OK as syntax for knowledge exchange
  • 21. 21 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Semantic Web 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 Problems in word word • OWL: only binary relations reify ? -> no logical semantics
  • 22. 22 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation ULiS project: represent lexicographic definitions with OWL (Lefrançois & Gandon, MTT’2011, TIA’2011, MSW’2011) Semantic Web
  • 23. 23 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Semantic Web 1893 54 59 Problems in word word ULiS 1932 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 need OWL full + rules (undecidable)
  • 24. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 24 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 25. 25 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Conceptual Graphs 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 1940 84 J.F. Sowa • Oriented labelled Graphs • Sowa drew his inspiration from Tesnière • Rules, reasoning, (Baget, Mugnier, Chein, ...) • Concepts and Relations definitions, (Sowa, Leclère, ...)
  • 26. 26 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Conceptual Graphs 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 1940 84 J.F. Sowa Problems in word word • Alternation concept-relation
  • 27. 27 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Conceptual Graphs 1932 1893 54 59 65 88 96 04 L. Tesnière I.A. Mel’cuk 91 1940 84 J.F. Sowa Problems in word word • Alternation concept-relation • reify ? -> no logical semantics
  • 28. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 28 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 29. 29 t Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Choose Formalism Populate The Unit Graphs Formalism • a graph-based formalism, • to represent linguistic units Applications
  • 30. 30 t Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Choose Formalism Populate The Unit Graphs Formalism Draw inspiration from GC and Develop a RDF syntax to exchange knowledge Applications
  • 31. 31 t Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Choose Formalism Populate The Unit Graphs Formalism Applications Draw inspiration from GC and Develop a RDF syntax to exchange knowledge
  • 32. 32 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Units – Representations (c.f., Mel’čuk, 2004) Unit Types – Lexicon
  • 33. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 33 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 34. 34 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Surface Semantics Deep Syntax Surface Syntax Texts Linguistic Unit Types
  • 35. 35 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Surface Semantics Deep Syntax Surface Syntax Texts Linguistic Unit Types • have an Actantial structure ▫ Optional, obligatory, prohibited Actant Slots (ASlots) ▫ have a signature It specifies how their instances shall be linked to other units in UGs
  • 36. 36 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Surface Semantics Deep Syntax Surface Syntax Texts Linguistic Unit Types • have an Actantial structure ▫ Optional, obligatory, prohibited Actant Slots (ASlots) ▫ have a signature It specifies how their instances shall be linked to other units in UGs • are described in a hierarchy ▫ a Unit Type inherits and may specialize the Actantial Structure of its parents
  • 37. 37 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Hierarchy of Unit Types Actant Symbols (ASymbols) Surface Semantics: Numbers Deep Syntax: Roman numerals ...
  • 38. 38 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Hierarchy of Unit Types Primitive Unit Types (PUTs) is the disjoint union of:  the set of declared PUTs ex: Lexical unit type ANIMAL Grammatical unit type Verb, Noun, plur Surface Semantic unit type (animal) radices (the roots) obligant (those that make obligatory)  prohibent (those that prohibit) The prime absurd PUT The prime universal PUTs
  • 39. 39 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Hierarchy of Unit Types The Actantial Structure of Unit Types is the set of its obligatory, prohibited, and optional ASlots, and their signature
  • 40. 40 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Hierarchy of Unit Types Pre-order over PUTs is used to compute a pre-order over PUTs, and to assign a set of ASlots to each PUT. t has an ASlot s iif t is a descendent of γ(s) s ϵ α(t) Aslot s is obligatory iif t is a descendent of γ1(s) s ϵ α1(t) ASlot s is prohibited iif t is a descendent of γ0(s) s ϵ α0(t) ASlot s is optional iif t is neither obligatory nor prohibited s ϵ α? (t) ex: X eats Y (in Z) : (γ1(1), (eat)), (γ1(2), (eat)), (γ(3), (eat)) (γ(subject), Verb) (pluralizable, plur) ((animal) ,(dog)) ?
  • 41. 41 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Hierarchy of Unit Types Signatures of ASlots denotes the type of units that fill ASlot s of a unit of type t ex:
  • 42. 42 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Hierarchy of Unit Types A Unit may consist of several conjoint PUTs Conjunctive Unit Types (CUTs) ex: { def, plur, ANIMAL } ((the animals))  the actantial structure of PUTs is naturally extended to CUTs some CUTs are asserted to be absurd.  the pre-order over PUTs is extended to a pre-order over CUTs absurd CUTs are those lower than the prime absurd PUT
  • 43. 43 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation ≃ radix obligat prohibet absurd Organization of the Unit Types Hierarchy with respect to a unique ASymbol s The complete Unit Types Hierarchy is an intricated superposition of such figures
  • 44. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 44 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 45. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 45 Hierarchy of Meanings ? hierarchy of UT ? = hierarchy of meanings
  • 46. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 46 Hierarchy of Meanings ? hierarchy of UT ? = hierarchy of meanings • (outil) (tool) • ASlot 1 – person that uses the tool • ASlot 2 – either activity or profession • (ciseaux) (scissors) • ASlot 1 – person that uses the scissors • ASlot 2 – the object to be cut
  • 47. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 47 Hierarchy of Meanings ? • (outil) (tool) Is an activity or a profession a kind of object ? - NO ! • ASlot 1 – person that uses the tool • ASlot 2 – either activity or profession • (ciseaux) (scissors) • ASlot 1 – person that uses the scissors • ASlot 2 – the object to be cut
  • 48. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 48 Hierarchy of Meanings ? • We introduce a deeper level of representation: The Deep Semantic Level • notation /outil • ASymbols are Lexicalized semantic roles hierarchy of DSemUT = hierarchy of meanings
  • 49. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 49 Deep Semantic Unit Types • ASlots of /L correspond to: Obligatory or optional participants of SIT(L) that are: • SemASlots of L • or SemASlots of a L’ such that /L’ < /L
  • 50. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 50 Deep Semantic Unit Types Example of inheritance and specialization in the hierarchy of Deep Semantic Unit Types
  • 51. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 51 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 52. 52 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 1: Lexicographic Definitions in RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) PEIGNE2a : (Weaving tool that a person X uses to untangle#2 fibres of an object Y) ~ of a person X for object Y <CC label="tool">weaving tool</CC> <PC role="use">that X uses to untangle#2 fibres of Y</PC> TOOL ~ of person X for activity Y PEIGNER2 : person X ~ fibres Y (Barque & Polguère, 2008)
  • 53. 53 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Need 1: Lexicographic Definitions in RELIEF (Polguère, 2009; Lux-Pogodalla & Polguère, 2011) PEIGNE2a : (Weaving tool that a person X uses to untangle#2 fibres of an object Y) ~ of a person X for object Y <CC label="tool">weaving tool</CC> <PC role="use">that X uses to untangle#2 fibres of Y</PC> TOOL ~ of person X for activity Y PEIGNER2 : person X ~ fibres Y (Barque and Polguère, 2008)
  • 54. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 54 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 55. 55 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Definition 1: Actantial Structure
  • 56. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 56 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 57. 57 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Unit Graphs are defined over a Support Unit Node Markers Arbitrary Symbols Every Element of M identifies a specific unit; Multiple elements of M may identify the same unit.
  • 58. 58 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Unit Graphs are defined over a Support Unit nodes Unit nodes labels : a type + a marker  Actantial triples Circumstantial triples Declared equivalences of unit nodes
  • 59. 59 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation PUT Definition The Lexicographic definition of L corresponds to the definition of /L
  • 60. 60 Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation PUT Definition The Lexicographic definition of L corresponds to the definition of /L • An equivalence between two Unit Graphs
  • 61. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 61 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 62. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 62 Definition 2: DSemUT Definition
  • 63. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 63 Definition 2: DSemUT Definition
  • 64. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 64 Definition 2: DSemUT Definition
  • 65. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 65 Definition 2: DSemUT Definition
  • 66. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 66 Definition 2: DSemUT Definition
  • 67. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 67 Definition 2: DSemUT Definition
  • 68. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 1. Choose Formalism 68 • Needs, problems • Semantic Web ? ▫ false good idea • Conceptual Graphs ? ▫ nop • The Unit Graphs formalism ▫ Hierarchy of Unit Types • A deep representation level for meanings • Application to Lexicographic Definitions in RELIEF ▫ Scenario: Actantial Structure ▫ Unit Graphs and PUT Definitions ▫ Scenario: DSemUT formal Definition ▫ Scenario: Deep-Surface Correspondence
  • 69. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation 69 Definition 3: Deep – Surface correspondence
  • 70. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation • Design of a prototype web application to represent formal lexicographic definitions using UGs • Demonstration online (in French) Edition of the lexicographic definition of lexical unit PEIGNE2a ▫ wimmics.inria.fr/doc/video/UnitGraphs/editor1.html • Validation with the RELIEF lexicographers 70 Implementation / Validation
  • 71. Lefrançois, Gandon, The Unit Graphs Framework: Linguistic Knowledge Representation Conclusions 71 • Linguistic Knowledge Representation • 1. Choose Formalims • Identify limitations of existing formalisms • Suppress these limitations with the Unit Graphs ▫ Hierarchy of Unit Types ▫ Need 2: Theory of semantic actants ▫ Need 1: Lexicographic Definitions in the RLF
  • 72. MTT’13 , August 30th 2013, Prague The Unit Graphs Framework: A graph-based Knowledge Representation Formalism designed for the Meaning-Text Theory & Application to Lexicographic Definitions in the RELIEF project Thank you

Editor's Notes

  1. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  2. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  3. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  4. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  5. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  6. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  7. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  8. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  9. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  10. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  11. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  12. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  13. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  14. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  15. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  16. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  17. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  18. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  19. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  20. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  21. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax
  22. Tesnière, 1893-1954, U.Montpellier, FR, Elements de syntaxe structurale, 1959 Chomsky, 1928- MIT, US, 1950: grammaire générative et transformationnelle, linguistique générative - Distinction compétence performance - Structure de surface et structure profonde - Règles de réécriture pour générer – analyser le langage Cherche une grammaire universelle, avec des universaux et des variables Sowa 1940 1984 Conceptual Structures - Information Processing in Mind and Machine. Mel’cuk 1974 développement de la théorie sens-texte 1988 dependency syntax