NLPN (NLP Negotiations) System presented at Cracow Grid Workshop 2010 conference in Kraków, Poland

1. FRAMEWORK FOR INTELLIGENT VIRTUAL ORGANIZATIONS (FIVO)
Natural Language based
Processing of Multilingual Contracts
for Virtual Organizations constitution
Mikołaj Pastuszko, Bartosz Kryza, Renata Słota, Jacek Kitowski
Institute of Computer Science, University of Science and Technology AGH
Kraków, POLAND

2. Agenda
Background of the problem
Goals and requirements of NLPN system
Architecture of NLPN system
Main processing flow in NLPN system
Technologies and tools used in NLPN system
Example of contract text analysis in NLPN system
Future development proposals for NLPN system

3. Problem introduction
Assumption
 Organizations
own resources that are expected to be shared within Virtual
Organization
 Conditions of cooperation are written down in form of the contract
document
Problem
 Contracts
are written in natural language (e.g. Polish)
 Automatization of the Virtual Organization management (FiVO) requires a
formal and semantic form of the contract (ontology in OWL format)
Solution
 NLP-based Negotiations (NLPN) System:
Translating natural language based contracts to ontologies in OWL
format

4. Concept of NLPN system

5. Goals and requirements
Support for multiple languages
 English and Polish as a starting point
 Easily extendable with support for another languages
Output ontology in OWL format (FiVO requirement)
 Ontology sturucture easily adjustable
Minimalization of human (supervisor) assistance
Flexible mapping between text phrases and ontology entities
 Human-readable and easily editable Contract Dictionary
Modularity
 Easy orchestration for various applications

6. Data flow in NLPN system

7. Modular architecture of NLPN system

8. Contract text analysis
1. Tokenization
2. Sentence Splitting
3. Morphological Analysis and POS Tagging
4. Named Entities Recognition
●
Gazetteer
5. Contract Statemets Recognition
●
Transducer + grammars

9. Technologies and tools
NLP tools
 GATE – General Architecture for Text Engineering
 Tokenizer
ANNIE – A Nearly-New
 Gazetteer
Information Extraction System
 OntoGazetteer
 JAPE Transducer
 JAPE grammars – Java Annotations Pattern Engine
 LanguageTool
 Sentence Splitter
 Part-of-Speech Tagger
 Disambiguator (tagger part)
 Supports 20 languages including Polish (Morfologik library)

10. Technologies and tools
Ontologies
 Jena Semantic Web Framework library
 Supports read and write in RDF/XML, N3 and N-Triples formats
 Provides API for OWL and RDF
Configuration files
 YAML format
 SnakeYAML library

11. Example: Contract text analysis
QoS Statements
Costa Rica Airlines should provide number of seats of Mercedes-Benz H6 equal to 54 and expected average velocity
greater than 60 km/h.
Security Statements
Tour Manager and Client should be able to book seats on Costa Rica Service.
Penalty Clauses
In case of violation of Acela D45 trainset sharing conditions a notification should be sent to John Smith.
Stwierdzenia QoS
Costa Rica Airlines będzie świadczyć ilość miejsc siedzących dla Mercedes-Benz H6 wynoszącą dokładnie 54 i
przewidywaną prędkość średnią ponad 60 km/h.
Stwierdzenia bezpieczeństwa
Tour Manager i Klient powinni być uprawnieni do rezerwowania miejsc poprzez Usługę Costa Rica.
Klauzule kar umownych
W przypadku niedotrzymania warunków świadczenia Acela D45 trainset powinno zostać wysłane powiadomienie do
Johna Smitha.

12. Tokenization

13. Sentence Splitting

14. Morphological Analysis and POS Tagging

15. Named Entities Recognition

16. Contract Statements Recognition

17. Contract Statements Recognition

18. Summary
NLPN system:
 Translates natural language based contracts to formal and
semantic form of ontologies
 Supports English and Polish
 Easily extendable with another languages
 Is modular
 Ease of use in various applications
 Is highly configurable
 Contract Dictionary (including its structure)
 Contract Ontology structure
 Contract Statements forms
 Configuration files for all components
 Has broad perspectives for future development →

19. Future development
Distributed Negotiations Environment
 Negotiations
Console
 More
statement
forms
 Statistic
approach
algorithms
 Noise
correction
(typo etc.)

20. The End
Thank you
mikolaj.pastuszko@gmail.com