The ATRACT workbench: Automatic term recognition and clustering for terms

Hideki Mima, Sophia Ananiadou, Goran Nenadić

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)


In this paper, we introduce a web-based integrated text and knowledge mining aid system in which information extraction and intelligent information retrieval/database access are combined using term-oriented natural language tools. Our work is placed within the Bio Path research project whose overall aim is to link information extraction to expressed sequence data validation. The aim of the tool is to extract automatically terms, to cluster them, and to provide efficient access to heterogeneous biological and genomic databases and collections of texts, all wrapped into a user friendly workbench enabling users to use a wide range of textual and non textual resources effortlessly. For the evaluation, automatic term recognition and clustering techniques were applied in a domain of molecular biology. Besides English, the same workbench has been used for term recognition and clustering in Japanese.

Original languageEnglish
Title of host publicationText, Speech and Dialogue - 4th International Conference, TSD 2001, Proceedings
EditorsVaclav Matousek, Pavel Mautner, Roman Moucek, Karel Tauser
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783540425571
Publication statusPublished - 2001
Externally publishedYes
Event4th International Conference on Text, Speech and Dialogue, TSD 2001 - Zelezna Ruda, Czech Republic
Duration: Sep 11 2001Sep 13 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Text, Speech and Dialogue, TSD 2001
Country/TerritoryCzech Republic
CityZelezna Ruda

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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