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Mining Unstructured Knowledge Bases for Question & Answers Websites
A Case Study of Stack Overflow
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The book delves into the challenges of knowledge retrieval from natural language data, which is often ambiguous and unstructured. It highlights recent studies utilizing unstructured data sources, particularly from Stack Overflow, to find answers in external contexts. The findings indicate that this method is viable. Additionally, the author examines machine-learning models that enhance baseline results by incorporating predicted tag information from new questions, showcasing innovative approaches to improve knowledge retrieval.
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Mining Unstructured Knowledge Bases for Question & Answers Websites, Eduardo Lima
- Language
- Released
- 2016
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- Title
- Mining Unstructured Knowledge Bases for Question & Answers Websites
- Subtitle
- A Case Study of Stack Overflow
- Language
- English
- Authors
- Eduardo Lima
- Publisher
- LAP LAMBERT Academic Publishing
- Released
- 2016
- Format
- Paperback
- Pages
- 76
- ISBN13
- 9783659914331
- Category
- Computers, IT, Programming
- Description
- The book delves into the challenges of knowledge retrieval from natural language data, which is often ambiguous and unstructured. It highlights recent studies utilizing unstructured data sources, particularly from Stack Overflow, to find answers in external contexts. The findings indicate that this method is viable. Additionally, the author examines machine-learning models that enhance baseline results by incorporating predicted tag information from new questions, showcasing innovative approaches to improve knowledge retrieval.