Towards semantic category verification with arbitrary precision
Roussinov, Dmitri; (2011) Towards semantic category verification with arbitrary precision. In: Advances in Information Retrieval Theory. Lecture Notes in Computer Science, Springer, pp. 274-284. ISBN 9783642233173
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Many tasks related to or supporting information retrieval, such as query expansion, automated question answering, reasoning, or heterogeneous database integration, involve verification of a semantic category (e.g. “coffee” is a drink, “red” is a color, while “steak” is not a drink and “big” is not a color). We present a novel framework to automatically validate a membership in an arbitrary, not a trained a priori semantic category up to a desired level of accuracy. Our approach does not rely on any manually codified knowledge but instead capitalizes on the diversity of topics and word usage in a large corpus (e.g. World Wide Web). Using TREC factoid questions that expect the answer to belong to a specific semantic category, we show that a very high level of accuracy can be reached by automatically identifying more training seeds and more training patterns when needed. We develop a specific quantitative validation model that takes uncertainty and redundancy in the training data into consideration. We empirically confirm the important aspects of our model through ablation studies.
| Creators(s): |
Roussinov, Dmitri  ORCID: https://orcid.org/0000-0002-9313-2234;
| Item type: | Book Section |
|---|---|
| ID code: | 45793 |
| Keywords: | information retrieval, IR, semantic searching, semantic category verification, Electronic computers. Computer science, Library Science. Information Science, Human-Computer Interaction |
| Subjects: | Science > Mathematics > Electronic computers. Computer science Bibliography. Library Science. Information Resources > Library Science. Information Science |
| Department: | Faculty of Science > Computer and Information Sciences |
| Depositing user: | Pure Administrator |
| Date deposited: | 11 Nov 2013 10:28 |
| Last modified: | 11 Sep 2020 01:28 |
| Related URLs: | |
| URI: | https://strathprints.strath.ac.uk/id/eprint/45793 |
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