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Reasoning in Legal Text Documents with Extracted Event Information
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 28 - Number 7 |
| Year of Publication: 2011 |
| Authors: Venkateswrlu Naik. M, Vanitha Guda, Inturi Srujana |
10.5120/3402-4742
|
Venkateswrlu Naik. M, Vanitha Guda, Inturi Srujana . Reasoning in Legal Text Documents with Extracted Event Information. International Journal of Computer Applications. 28, 7 ( August 2011), 8-13. DOI=10.5120/3402-4742
Abstract
Extracting Events, Time Expressions and Named Entities from Legal text is fundamental aspect for deep language understanding and key to various applications such as Temporal Reasoning in Criminal Documents, Case decisions(Intellectual property and crime) for details, Case Based Reasoning, Ordering of Cases according to their Time lines, Determining Relevancy between Precedent cases and Current cases, Temporal Question Answering System, Text Summarization and Documents Retrieval according to Events and Times. Our long term intension is to build a system which automatically extracts Events and Time expressions and ordering them in a particular order. Ordering of events become significant task and it is assists to finding all feasible times a given event can occur, all relationships between two given events, finding one or more consistent scenarios and finally representing data in a minimal network form. In this paper, we are focusing about automatic extraction of Quantitative, Qualitative time’s information and from Legal Text Documents, along with this Legal text expressed in natural language can be automatically annotated with semantic mark ups using natural language processing Techniques. Finally applied reasoning among temporal information with the help of extracted information. Reasoning can be done using constraint satisfaction networks by applying Allen’s Algebra relations. Apart from this result analysis obtained using Precision and Recall statistical measurements over standard dataset DUC 2005.
References
- Naushad, UzZaman and James Allen, (2010), TRIOS-TimeBank Corpus: Extended TimeBank corpus with help of Deep Understanding of Text, to appear in the Proceedings of The Seventh International Conference on Language Resources and Evaluation (LREC), Malta.
- Magnini, Bernardo. Borovetz, Bulgaria: s.n, 2005 Open Domain Question Answering: Techniques, Systems and Evaluation, Conference on Recent Advances in Natural Language Processing (RANLP).
- Vanitha, Suresh Kumar Sanampudi, I. Lakshmi Manikyamba, 2010, Approaches for Question Answering System, IJEST, Volume no.3, Pageno:992-995, ISSN: 09755462
- Oi Mean Foong, Alan Oxley, Suziah Sulaiman, 2010 Challenges and Trends of Automatic Text Summarization, IJITT, Vol. 1, Issue 1, ISSN: 0976–5972.
- Dutcher, R, Meiri, I, Pearl, J, (1991),”Temporal Constraint Networks”, Artificial Intelligence, 49:61- 95.
- Frank Schilder, (2007), Event Extraction and Temporal Reasoning in Legal Documents, LNAI 4795, pp. 59 7, @ Springer-Verlag Berlin Heidelberg.
- Inderjeet Mani, (2007), Chronoscopes: “A Theory of Underspecified Temporal Representations. Reasoning about Time and Events”. Springer LNAI 4795-0127. pp: 127-139.
- Michael Tanenblatt, Anni Coden, Igor Sominsky, 2010 the ConceptMapper Approach to Named Entity Recognition, LREC Conference, Malta.
- Chu-Ren Haung, PetrSimon, Shu-Kai Hsieh, Laurent Prevot, (2007): Rethinking Chainese Word Segmentation: Tokenization, Character Classification, or Wordbreak Identification, Proceedings of the, Association for Computational Linguistics Demo and Poster Sessions, pages 69–72.
- Chris Biemann, 2009 Unsupervised Parts of speech Tagging in Large Text, Research on Language and Computation, Volume 7,Issue 2-4,USA
- Pustejovky et al, (2004), “The Specification Language TIMEML”, The Language of Time: A Reader, Oxford University press.
- Oleksandr Kolomiyets, Marie-Francine Moens, 2009 Meeting TempEval-2: Shallow Approach for Temporal Tagger, Proceedings of the NAACL HLT Workshop on Semantic Evaluations: Recent Achievements and Future Directions, pages 52–57, Boulder, Colorado.
- Suresh Kumar Sanampudi, G. Vijaya Kumari, 2010,”Temporal Reasoning in Natural Language Processing: A Survey”: International Journal of Computer Applications (0975-8887) Volume1-No.4.
- E. Saquete, P. Mart´ınez-Barco, R. Mu˜ noz, J.L. Vicedo, 2002 Splitting Complex Temporal Questions for Question Answering systems, FIT-150500-2002-244.
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