- Title
- The impact of semantic class identification and semantic role labeling on natural language answer extraction
- Creator
- Ofoghi, Bahadorreza; Yearwood, John; Ma, Liping
- Date
- 2008
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/32746
- Identifier
- vital:3735
- Identifier
-
https://doi.org/10.1007/978-3-540-78646-7_40
- Identifier
- ISBN:9783540786450
- Abstract
- In satisfying an information need by a Question Answering (QA) system, there are text understanding approaches which can enhance the performance of final answer extraction. Exploiting the FrameNet lexical resource in this process inspires analysis of the levels of semantic representation in the automated practice where the task of semantic class and role labeling takes place. In this paper, we analyze the impact of different levels of semantic parsing on answer extraction with respect to the individual sub-tasks of frame evocation and frame element assignment.
- Publisher
- Glasgow, UK : Springer
- Relation
- Paper presented at 30th European Conference on IR Research, ECIR 2008, Glasgow, UK : 30th March - 3rd April 2008 p. 430-437
- Rights
- Copyright Springer
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0806 Information Systems; Shallow semantic parsing; FrameNet; Question answering
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