Mining Unstructured Knowledge Bases for Question & Answers Websites
A Case Study of Stack Overflow
(Sprache: Englisch)
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...
Leider schon ausverkauft
versandkostenfrei
Buch
35.90 €
Produktdetails
Produktinformationen zu „Mining Unstructured Knowledge Bases for Question & Answers Websites “
Klappentext zu „Mining Unstructured Knowledge Bases for Question & Answers Websites “
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.
Bibliographische Angaben
- Autor: Eduardo Lima
- 2016, 76 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 3659914339
- ISBN-13: 9783659914331
Sprache:
Englisch
Kommentar zu "Mining Unstructured Knowledge Bases for Question & Answers Websites"
0 Gebrauchte Artikel zu „Mining Unstructured Knowledge Bases for Question & Answers Websites“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Mining Unstructured Knowledge Bases for Question & Answers Websites".
Kommentar verfassen