1. 1Confidential
NER ?
Name Entity ,Relation and Events
Named Entities:

Person

Organization

Designation

Location

Date Time

Money
Salary
Net profit
Hike
Gross profit
Turnover

Percent
Hike rate
Growth rate
Increase by
Relations :

Person

→ Organization

→ Designation

→ Money

→ Percent

→ Quoted Text

→ Location

Organization
→ Percent

→ Quoted Text

→ Money

→ Location
Events :

5WH

Who → Person

What → Event description

Whom → Organization

When → Event date time

Where → Location
Information :

Person :->{title}->Organization

Person :->{title}->Designation

Person :->{title}->Money

Person :->{title}->Location

Organization :->{title}->Location

Organization :->{title}-> Percent

Organization :->{title}-> Percent
NER Consist :

Gazetteer Lookup

JAPE Grammers

Co - reference

2. 2Confidential
Example
TCSTCS
CEO
N Chandrasekaran
Person :->{title}->Organization
WiproWipro
CEO
TK Kurian
TCSTCS
Managing Director
N Chandrasekaran
InfosysInfosys
CEO
Vishal Sikka
Person title Organization
N Chandrasekaran CEO TCS
Vishal Sikka CEO Infosys
TK Kurian CEO Wipro

3. 3Confidential
Knowledge Network
Organiz
ation
Pe
rso
n
Desig
nation
Loc
atio
n
Mo
ne
y
Per
cen
t
TCS
Financial
News
TC
S
Tata Consultancy
Service
15 lakh
10 lakh
Rs 3,596.9 core
50 percent
21 percent
Kolkata
CEO
child
child
HikeBy
child
child
child
child
child
child
Growth rate
Salary
Net profit
N
Chandrasekar
an
Chandrasekar
an
child
child
hold_position
same_as
known_as
located_in
child
hike_rate
net_profit

4. 4
ExtractionPipelineReasoner Application
Relation
Model
Inf Node
Model
Rule Set 2Rule Set 1
Inf Relation
Model
Rule Set n
Inf
Document
Model
Tokenizer
Sentence
Spiltter
POS tagger
Customize
Gazetter
Co-refencer
How ??
Finance Gazetteer
Relation
Transducer
Document
Model
Node Model ….........................................
Knowledge
Store
KnowledgeAccessAPI
Application
Relation schema
KnowledgeAccessSPARQLAPI
Asserted
Network
Inferred
Network