Abstract
Drug-drug interactions are frequently reported in biomedical literature and Information Extraction (IE) techniques have been devised as a useful instrument for managing this knowledge. Nevertheless, IE at the sentence level has a limited effect because there are frequent references to previous entities in the discourse, a phenomenon known as ‘anaphora’. The problem of resolving pronominal and nominal anaphora to improve a system that detects drug interactions is addressed in this paper. To our knowledge, this is the first research article that tackles this issue. A corpus and a system for the evaluation of drug anaphora resolution have been developed and an analysis of the phenomena is also included. The system uses a domain-specific syntactic and semantic parser, UMLS Metamap Transfer (MMTx) [1], to select anaphoric expressions and candidate references. It is shown that a combination of the domain-specific syntax and semantic information with generic heuristics can be leveraged to produce good results comparable to other related domains. Furthermore, the analysis of the errors suggests that the use of additional semantic knowledge is needed to improve results and deal with this linguistic phenomenon in this particular domain.
This research paper is supported by the Regional Government of Madrid under the Research Network MAVIR (S-0505/TIC-0267) and by the Spanish Ministry of Science and Innovation under the project BRAVO (TIN2007-67407-C03-01).
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Segura-Bedmar, I., Crespo, M., de Pablo-Sánchez, C. (2010). Score-Based Approach for Anaphora Resolution in Drug-Drug Interactions Documents. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_8
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