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Marie-Francine Moens, Automatic Indexing and Abstracting of Document Texts, The Kluwer International Series on Information Retrieval Vol. 6

Marie-Francine Moens, Automatic Indexing and Abstracting of Document Texts, The Kluwer... 344 BOOK REVIEW The book Automatic Indexing and Abstracting of Document Texts by Marie- Francine Moens provides an overview and a study of AI techniques for automated text processing for the purpose of information retrieval. The book is a slightly shortened version of her doctoral dissertation, which she defended successfully on June 28th, 1999 at the Katholieke Universiteit Leuven, Belgium. Her promotor was Prof. Dr. Jos Dumortier. For AI & Law researchers the book is relevant since the AI techniques it deals with are directly applicable to legal domains and because the applications discussed are demonstrated for a database of Belgian legal cases. In her treatment of automatic text processing techniques Moens zooms in on two text processing functions that are prominent in automated information retrieval, namely, indexing and abstracting. In information retrieval systems the indexing function derives a set of single words and phrases from the stored documents to draw up a formal representation characterizing the information contents of the documents. The abstracting function also processes text documents and it produces a short description of the original texts. These condensed formal representations of the documents’ contents can be utilized by an information retrieval system and its users in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence and Law Springer Journals

Marie-Francine Moens, Automatic Indexing and Abstracting of Document Texts, The Kluwer International Series on Information Retrieval Vol. 6

Matthijssen, Luuk
Artificial Intelligence and Law , Volume 8 (4) – Dec 1, 2000
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Publisher
Springer Journals
Copyright
Copyright © Kluwer Academic Publishers 2001
ISSN
0924-8463
eISSN
1572-8382
DOI
10.1023/a:1011271122687
Publisher site
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Abstract

344 BOOK REVIEW The book Automatic Indexing and Abstracting of Document Texts by Marie- Francine Moens provides an overview and a study of AI techniques for automated text processing for the purpose of information retrieval. The book is a slightly shortened version of her doctoral dissertation, which she defended successfully on June 28th, 1999 at the Katholieke Universiteit Leuven, Belgium. Her promotor was Prof. Dr. Jos Dumortier. For AI & Law researchers the book is relevant since the AI techniques it deals with are directly applicable to legal domains and because the applications discussed are demonstrated for a database of Belgian legal cases. In her treatment of automatic text processing techniques Moens zooms in on two text processing functions that are prominent in automated information retrieval, namely, indexing and abstracting. In information retrieval systems the indexing function derives a set of single words and phrases from the stored documents to draw up a formal representation characterizing the information contents of the documents. The abstracting function also processes text documents and it produces a short description of the original texts. These condensed formal representations of the documents’ contents can be utilized by an information retrieval system and its users in

Journal

Artificial Intelligence and Law – Springer Journals

Published: Dec 1, 2000

References

  • Anaphora Resolution in the Extraction of Treatment History Language from Court Opinions by Partial Parsing
    Al-Kofahi, K.; Grom, B.; Jackson, P.
  • Abstracting of Legal Cases: the SALOMON Experience
    Moens, M.-F.; Uyttendaele, C.; Dumortier, J.