Learning Web Query Patterns for Imitating Wikipedia Articles
Authors | Shohei Tanaka Naokaki Okazaki Mitsuru Ishizuka |
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Publication date | 2010 |
Links | Original |
Learning Web Query Patterns for Imitating Wikipedia Articles - scientific work related to Wikipedia quality published in 2010, written by Shohei Tanaka, Naokaki Okazaki and Mitsuru Ishizuka.
Overview
This paper presents a novel method for acquiring a set of query patterns to retrieve documents containing important information about an entity. Given an existing Wikipedia category that contains the target entity, authors extract and select a small set of query patterns by presuming that formulating search queries with these patterns optimizes the overall precision and coverage of the returned Web information. Authors model this optimization problem as a weighted maximum satisfiability (weighted Max-SAT) problem. The experimental results demonstrate that the proposed method outperforms other methods based on statistical measures such as frequency and point-wise mutual information (PMI), which are widely used in relation extraction.
Embed
Wikipedia Quality
Tanaka, Shohei; Okazaki, Naokaki; Ishizuka, Mitsuru. (2010). "[[Learning Web Query Patterns for Imitating Wikipedia Articles]]". Association for Computational Linguistics.
English Wikipedia
{{cite journal |last1=Tanaka |first1=Shohei |last2=Okazaki |first2=Naokaki |last3=Ishizuka |first3=Mitsuru |title=Learning Web Query Patterns for Imitating Wikipedia Articles |date=2010 |url=https://wikipediaquality.com/wiki/Learning_Web_Query_Patterns_for_Imitating_Wikipedia_Articles |journal=Association for Computational Linguistics}}
HTML
Tanaka, Shohei; Okazaki, Naokaki; Ishizuka, Mitsuru. (2010). "<a href="https://wikipediaquality.com/wiki/Learning_Web_Query_Patterns_for_Imitating_Wikipedia_Articles">Learning Web Query Patterns for Imitating Wikipedia Articles</a>". Association for Computational Linguistics.