Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Medstract: creating large-scale information servers for biomedical libraries
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Zero anaphora resolution by case-based reasoning and pattern conceptualization
Expert Systems with Applications: An International Journal
Semi-supervised anaphora resolution in biomedical texts
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Exploring domain differences for the design of pronoun resolution systems for biomedical text
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Supervised ranking for pronoun resolution: some recent improvements
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Anaphora resolution for biomedical literature by exploiting multiple resources
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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DrugNerAR, a drug anaphora resolution system is presented to address the problem of co-referring expressions in pharmacological literature. This development is part of a larger and innovative study about automatic drug-drug interaction extraction. Besides, a corpus has been developed in order to analyze the phenomena and evaluate the current approach. The system uses a set of linguistic rules inspired by Centering Theory over the analysis provided by a biomedical syntactic parser. Semantic information provided by Unified Medical Language System (UMLS) is also integrated in order to improve the recognition and the resolution of nominal drug anaphors. This linguistic rule-based approach shows very promising results for the challenge of accounting for anaphoric expressions in pharmacological texts.