2006 TextMiningForBiomedicine

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Subject Headings: Information Extraction

Notes

Cited By

  • On Link Grammar "Problems: missing possessive markers & determiners, coordination of compound noun modifiers."

Quotes

Abstract

One of the core challenges for text mining from biomedical literature is presented by terminology. Given the amount of neologisms characterising biomedical terminology, it is necessary to provide tools which will automatically extract newly coined terms from texts, and link them with bio-databases, controlled vocabularies, and ontologies. The importance of this topic has triggered significant research, which has in turn resulted in several approaches used to collect, classify, and identify term occurrences in biomedical texts. Terminological processing also covers aspects such as extraction, term variation, classification and mapping. The second part of this tutorial introduces technologies and resources that have been developed for information extraction from biomedical literature. These include linguistically annotated biomedical corpora, various NLP tools that are designed to deal with biomedical text, and several approaches to extracting useful information from biomedical documents such as protein-protein interactions and disease-gene associations.

References


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2006 TextMiningForBiomedicineSophia Ananiadou
Yoshimasa Tsuruoka
Text Mining in Biomedicine: an Overview of Techniques