heuristic optimization and search, sentence level search engine, suffix arrays, natural language processing
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. Keywords:
Faculty of Applied Science & Technology (FAST)
© Cristina Ribeiro, Ricardo Salmon, Swathi Amarala, Christina Hamada
Creative Commons 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. (2012, March). The Severity of Undetected Ambiguity in Software Engineering Requirements. 18th International Working Conference on Requirements Engineering: Foundation for Software Quality. Essen, Germany
Ribeiro, Cristina, "The Severity of Undetected Ambiguity in Software Engineering Requirements" (2012). Publications and Scholarship. 53.
18th International Working Conference on Requirements Engineering: Foundation for Software Quality