Automatic legal text summarisation: Experiments with summary structuring

Proceedings of the International Conference on Artificial Intelligence and Law

Volumn , Issue , 2005, Pages 75-84

  Hachey, Ben ^a   Grover, Claire ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Automatic summarisation; Discourse; Machine learning; Natural language

Indexed keywords

CLASSIFICATION RESULTS; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; MAXIMUM ENTROPY; NATURAL LANGUAGES;

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINGUISTICS;

EXPERIMENTS;

EID: 34547961217     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1165485.1165498     Document Type: Conference Paper

References (18)

1. C. Aone, M. E. Okurowski, J. Gorlinsky, and B. Larsen. A trainable summarizer with knowledge acquired from robust NLP techniques. In I. Mani and M. T. Maybury, editors, Advances in Automatic Text Summarization, pages 71-80. MIT Press, Cambridge, Massechusetts, 1999.
2. M. Banko, V. Mittal, M. Kantrowitz, and J. Goldstein. Generating extraction-based summaries from hand-written summaries by aligning text spans. In Proceedings of the Pacific Association for Computational Linguistics, 1999.
3. J. Carletta, S. Evert, U. Heid, J. Kilgour, J. Robertson, and H. Voormann. The nite xml toolkit: flexible annotation for multi-modal language data. Behavior Research Methods, Instruments, and Computers, special issue on Measuring Behavior, 35(3), 2003.
4. U. Fayyad and K. Irani. Multi-interval discretization of continuous-valued attributes for classification learning. In Proceedings of the 13th International Joint Conference on Artificial Intelligence, 1993.
5. C. Grover, B. Hachey, and I. Hughson. The HOLJ corpus: supporting summarisation of legal texts. In Proceedings of the 5th International Workshop on Linguistically Interpreted Corpora, Geneva, Switzerland, 2004.
6. C. Grover, B. Hachey, I. Hughson, and C. Korycinski. Automatic summarisation of legal documents. In Proceedings of the 9th International Conference on Artificial Intelligence and Law, 2003.
7. B. Hachey and C. Grover. A rhetorical status classifier for legal text summarisation. In Proceedings of the ACL-2004 Text Summarization Branches Out Workshop, 2004.
8. B. Hachey and C. Grover. Sequence modelling for sentence classification in a legal summarisation system. In Proceedings of the 2005 ACM Symposium on Applied Computing, Santa Fe, New Mexico, 2005.
9. H. Jing and K. R. McKeown. The decomposition of human-written summary sentences. In Proceedings of the 22nd International Conference on Research and Development in Information Retrieval, 1999.
10. G. H. John and P. Langley. Esitmating continuous distributions in bayesian classifiers. In Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence, 1995.
11. J. Kupiec, J. Pedersen, and F. Chen. A trainable document summarizer. In Proceedings of the 18th International Conference on Research and Development in Information Retrieval, 1995.
12. R. Malouf. A comparison of algorithms for maximum entropy parameter estimation. In Proceedings of the 6th Conference on Natural Language Learning, 2002.
13. I. Mani and E. Bloedorn. Machine learning of generic and user-focused summarization. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, 1998.
14. D. Marcu. The automatic construction of large-scale corpora for summarization research. In Proceedings of the 22nd International Conference on Research and Development in Information Retrieval, 1999.
15. S. Teufel and M. Moens. Sentence extraction as a classification task. In ACL-1997 Workshop on Intelligent and Scalable Text Summarization, 1997.
16. S. Teufel and M. Moens. Discourse-level argumentation in scientific articles: human and automatic annotation. In ACL-1999 Towards Standards and Tools for Discourse Tagging Workshop, 1999.
17. S. Teufel and M. Moens. Summarising scientific articles-experiments with relevance and rhetorical status. Computational Linguistics, 28(4):409-445, 2002.
18. M. Wasson. Using leading text for news summaries: evaluation results and implications for commercial summarization applications. In Proceedings of the joint 17th International Conference on Computational Linguistics and 36th Annual Meeting of the Association for Computational Linguistics, 1998.