2006 SemanticRetrievalForTheAccIdent
- (Ohta et al., 2006) ⇒ Tomoko Ohta, Katsuya Masuda, Yoshimasa Tsuruoka, Kazuhiro Yoshida, Takashi Ninomiya, Jun'ichi Tsujii. (2006). “Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases.” In: Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics (ACL 2006). doi:10.3115/1220175.1220303
Subject Headings: Textbase, Relation Mention Detection Task.
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Abstract
This paper introduces a novel framework for the accurate retrieval of relational concepts from huge texts. Prior to retrieval, all sentences are annotated with predicate argument structures and ontological identifiers by applying a deep parser and a term recognizer. During the run time, user requests are converted into queries of region algebra on these annotations. Structural matching with pre-computed semantic annotations establishes the accurate and efficient retrieval of relational concepts. This framework was applied to a text retrieval system for MEDLINE. Experiments on the retrieval of biomedical correlations revealed that the cost is sufficiently small for real-time applications and that the retrieval precision is significantly improved.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2006 SemanticRetrievalForTheAccIdent | Jun'ichi Tsujii Yoshimasa Tsuruoka Tomoko Ohta Katsuya Masuda Kazuhiro Yoshida Takashi Ninomiya | Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases | http://acl.ldc.upenn.edu/P/P06/P06-1128.pdf | 10.3115/1220175.1220303 |