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Mining, Representation and Reasoning with Temporal Expressions in the Legal Domain

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PhD thesis presentation at the RuleML+RR 2017 Doctoral Consortium.

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Mining, Representation and Reasoning with Temporal Expressions in the Legal Domain

  1. 1. Mining, Representation and Reasoning with Temporal Expressions in the Legal Domain María Navas-Loro mnavas@fi.upm.es RuleML+RR Doctoral Consortium - July 14, 2017 (Víctor Rodríguez-Doncel, Asunción Gómez-Pérez) Universidad Politécnica de Madrid (Spain)
  2. 2. THE IDEA Context 2
  3. 3. Legal documents everywhere 3
  4. 4. Solution: Q&A about time We want to make these documents understandable, answering questions about them. 4 ? ! We focus on judgments and queries related to time.
  5. 5. STATE OF THE ART Unifing fields 5
  6. 6. NLP We need to detect temporal expressions in text. (Tarsqi, HeidelTime) 6
  7. 7. Representation Then we have to properly represent them. (Ontologies, TimeGraphs, T-Prolog…) (OASIS-LegalRuleML, ODRL…) 7
  8. 8. Reasoning Finally, reasoning will be needed to find the answer to the queries. 8 ? ! (Allen’s Interval Temporal Logic, Temporal Languages, N3Logic, Temporal Description Logics …)
  9. 9. Thesis Goal Develop and study an integrated framework that parses judgments, extracts and represents temporal expressions and reasons upon them. Main hypothesis Expressing temporal rules able to accommodate the findings of the NLP algorithms and enabling temporal reasoning in an integrated manner would unleash new possibilities in temporal legal reasoning. 9
  10. 10. THESIS Scope and framework 10
  11. 11. Scope: judgments 11
  12. 12. Framework Resources for dealing with temporal expressions in the legal domain (rules, semantic frames…) Temporal extensions for ODRL and SHACL Temporal and legal reasoner QUERY legal documents REASONER N L P (current date, location…) context ANSWER 12
  13. 13. Framework Resources for dealing with temporal expressions in the legal domain (rules, semantic frames…) Temporal extensions for ODRL and SHACL Temporal and legal reasoner QUERY legal documents REASONER N L P (current date, location…) context ANSWER 13
  14. 14. Framework Resources for dealing with temporal expressions in the legal domain (rules, semantic frames…) Temporal extensions for ODRL and SHACL Temporal and legal reasoner QUERY legal documents REASONER N L P (current date, location…) context ANSWER 14
  15. 15. Framework Resources for dealing with temporal expressions in the legal domain (rules, semantic frames…) Temporal extensions for ODRL and SHACL Temporal and legal reasoner QUERY legal documents REASONER N L P (current date, location…) context ANSWER 15
  16. 16. Evaluation • Each part has its own validation. • Statistical performance measurements for NLP annotation (such as precision and recall) • Quality and completeness for the designed representation. • Rate of true answers by the reasoner. 16 • Final framework will be tested by end users: the system must be able to answer to real users queries.
  17. 17. AN EXAMPLE Real case 17
  18. 18. Example (NLP) We have a piece of a judgment in English extracted from Eur-Lex. 18 14 On 5 March 2010, Mr Costeja González, a Spanish national resident in Spain, lodged with the AEPD a complaint against La Vanguardia Ediciones SL, which publishes a daily newspaper with a large circulation, in particular in Catalonia (Spain) (‘La Vanguardia’), and against Google Spain and Google Inc. The complaint was based on the fact (…) 16 By decision of 30 July 2010, the AEPD rejected the complaint in so far as it related to La Vanguardia (…)
  19. 19. Example (Representation) Possible representation of a complaint including temporal information. 19
  20. 20. Example (Reasoning) 20 When was the complaint against Google Inc made? Google Inc 05.03.2010 Google Inc
  21. 21. Example (Reasoning) 21 When was the complaint against Google Inc made? Google Inc 05.03.2010 Google Inc
  22. 22. Example (Reasoning) 22 When was the complaint against Google Inc made? Google Inc 05.03.2010 Google Inc
  23. 23. Example (Reasoning) 23 When was the complaint against Google Inc made? Google Inc 05.03.2010 Google Inc 05.03.2010
  24. 24. Example (Reasoning) 24 When was the complaint against Google Inc made? Google Inc 05.03.2010 Google Inc 05.03.2010 It was lodged on 5 March 2010.
  25. 25. CONCLUSION Expected contributions 25
  26. 26. Conclusions • An framework that parses judgments, extracts and represents temporal expressions and reasons upon them, in an integrated manner. • Expected resources and innovation for each of the three parts: • Tagged corpora, expressions, semantic frames, synonyms, new NLP techniques... • Representation extension of existing languages / reuse of existing ontologies. • Rules for temporal legal reasoning. 26
  27. 27. Thank you for your attention 27
  28. 28. Bibliography Tarsqi Toolkit: http://www.timeml.org/tarsqi/toolkit/index.html HeidelTime: https://github.com/HeidelTime LegalRuleML: Athan, T., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2015, July). LegalRuleML: Design principles and foundations. In Reasoning Web International Summer School (pp. 151- 188). Springer International Publishing. ODRL: https://www.w3.org/community/odrl/ Time Ontology: https://www.w3.org/TR/owl-time/ Timegraphs: Gerevini, A., Schubert, L., & Schaeffer, S. (1993). Temporal reasoning in Timegraph I–II. ACM SIGART Bulletin, 4(3), 21- 25. T-Prolog: Futo, I., & Szeredi, J. (1980). T-Prolog user manual. Institute for Coordination of Computer Techniques, Budapest. Allen’s TL: Allen, J. F. (1983). Maintaining knowledge about temporal intervals. Communications of the ACM, 26(11), 832-843. N3Logic: Berners-Lee, T., Connolly, D., Kagal, L., Scharf, Y., & Hendler, J. (2008). N3logic: A logical framework for the world wide web. Theory and Practice of Logic Programming, 8(3), 249-269. EUR-Lex: http://eur-lex.europa.eu/homepage.html 28
  29. 29. Mining, Representation and Reasoning with Temporal Expressions in the Legal Domain María Navas-Loro mnavas@fi.upm.es RuleML+RR Doctoral Consortium - July 14, 2017 (Víctor Rodríguez-Doncel, Asunción Gómez-Pérez) Universidad Politécnica de Madrid (Spain)

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