Mining Unstructured Knowledge Bases for Question & Answers Websites: A Case Study of Stack Overflow - Softcover

Lima, Eduardo

Softcover

ISBN 10: 3659914339 ISBN 13: 9783659914331

Publisher: LAP LAMBERT Academic Publishing, 2016

Synopsis

Knowledge retrieval is a long standing problem that faces the challenge of dealing with natural language data. Such data is produced and consumed by humans and therefore is ambiguous and unstructured by nature. Recent studies focused on using unstructured data as sources for answers, with interesting results. We used Stack Overflow public data and searched for answers in external sources. Results showed that this approach is feasible. Furthermore, we explored machine-learned models and were able to improve the baseline results by leveraging the tag information predicted from new questions.

About this title

About the Author

Eduardo Lima graduated as B.S. in Computer Engineering by UFRN, RN, Brazil in 2003. Since 2003, had lectured in IT Vocational Schools in Natal, Brazil. In 2013, started to teach in IFRN, RN, Brazil. In 2015, founded the RIT Data Science Group. In 2016, was granted the title of M.S. in Information Sciences by RIT, NY, US.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2016
• Language: English
• ISBN 10: 3659914339
• ISBN 13: 9783659914331
• Binding: Paperback
• Number of pages: 76