Extractive summarisation of legal texts

Author:

Hachey Ben,Grover Claire

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Reference60 articles.

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3. Banko, M., Mittal, V., Kantrowitz, M., and Goldstein, J. (1999). Generating Extraction-Based Summaries from Hand-Written Summaries by Aligning Text Spans. In Proceedings of the 4th Meeting of the Pacific Association for Computational Linguistics. Waterloo, Ontario, Canada

4. Borko, H., and Bernier, C. L. (1975). Abstracting Concepts and Methods. Academic Press, New York

5. Carletta, J., Evert, S., Heid, U., Kilgour, J., Robertson, J., and Voormann, H. (2003). The NITE XML Toolkit: Flexible Annotation for Multi-modal Language Data. Behavior Research Methods, Instruments, and Computers, special issue on Measuring Behavior 35(3):353–363

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