An empirically based system for processing definite descriptions
Computational Linguistics
Gene name identification and normalization using a model organism database
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Sequence Ontology annotation guide: Conference Papers
Comparative and Functional Genomics
Gene name extraction using FlyBase resources
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
An NP-cluster based approach to coreference resolution
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Resolving bridging references in unrestricted text
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
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Resolving anaphora is an important step in the identification of named entities such as genes and proteins in biomedical scientific articles. The goal of this work is to resolve associative and coreferential anaphoric expressions making use of the rich domain resources (such as databases and ontologies) available for the biomedical area, instead of annotated training data. The results are comparable to extant state-of-the-art supervised methods in the same domain. The system is integrated into an interactive tool designed to assist FlyBase curators by aiding the identification of the salient entities in a given paper as a first step in the aggregation of information about them.