Document Type

Conference Paper

Publication Date

9-9-2010

Keywords

heuristic optimization and search, sentence level search engine, suffix arrays, natural language processing

Abstract

Users searching the Internet for news are not able to find relevant fact-based results for certain queries using the major search engines. Queries that require exact substring matching in order to obtain very relevant results are not currently possible. Furthermore, search engines do not discriminate in returning results that are opinions and not quantifiable facts. Our sentence level search engine, News Fact Finder, is designed using suffix arrays, filters out opinions, and produces very relevant results that are attractive to users. The News Fact Finder produces a 73% success rate of providing relevant fact based results.

Faculty

Faculty of Applied Science & Technology (FAST)

Journal

IEEE International Conference on Information Reuse & Integration

First Page

368

Last Page

373

Terms of Use

Terms of Use for Works posted in SOURCE.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Original Publication Citation

Ribeiro, C., Salmon, R., Amarala,S. & Hamada, C. (2010, September, 9). Sentence level fact based search engine: news fact finder. 2010 IEEE International Conference on Information Reuse and Integration, IRI 2010. 368 - 373. 10.1109/IRI.2010.5558906

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