Abstract
This paper compares domain-oriented and linguistically-oriented semantics, based on the GENIA event corpus and FrameNet. While the domain-oriented semantic structures are direct targets of Text Mining (TM), their extraction from text is not straghtforward due to the diversity of linguistic expressions. The extraction of linguistically-oriented semactics is more straghtforward, and has been studied independentely of specific domains. In order to find a use of the domain-independent research achievements for TM, we aim at linking classes of the two types of semantics. The classes were connected by analyzing linguistically-oriented semantics of the expressions that mention one biological class. With the obtained relationship between the classes, we discuss a link between TM and linguistically-oriented semantics.
Cite
CITATION STYLE
Uematsu, S., Kim, J. D., & Tsujii, J. (2009). Bridging the Gap between Domain-Oriented and Linguistically-Oriented Semantics. In BioNLP 2009 - Biomedical Natural Language Processing Workshop, BioNLP 2009 - held in conjunction with 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009 - Proceedings (pp. 162–170). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1572364.1572387
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