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

Lima, Eduardo

 
9783659914331: Mining Unstructured Knowledge Bases for Question & Answers Websites: A Case Study of Stack Overflow
Couverture souple
ISBN 10 : 3659914339 ISBN 13 : 9783659914331
Editeur : 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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659914339
ISBN 13 
9783659914331
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
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