Are Human-Input Seeds Good Enough for Entity set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge

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Are Human-Input Seeds Good Enough for Entity set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge
Authors
Zhenyu Qi
Kang Liu
Jun Q. Zhao
Publication date
2012
ISSN
03029743
ISBN
978-364235340-6
DOI
10.1007/978-3-642-35341-3_9
Links

Are Human-Input Seeds Good Enough for Entity set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge - scientific work about Wikipedia quality published in 2012, written by Zhenyu Qi, Kang Liu and Jun Q. Zhao.

Overview

Entity Set Expansion is an important task for open information extraction, which refers to expanding a given partial seed set to a more complete set that belongs to the same semantic class. Many previous researches have proved that the quality of seeds can influence expansion performance a lot since human-input seeds may be ambiguous, sparse etc. In this paper, authors propose a novel method which can generate new, high-quality seeds and replace original, poor-quality ones. In their method, authors leverage Wikipedia as a semantic knowledge to measure semantic relatedness and ambiguity of each seed. Moreover, to avoid the sparseness of the seed, authors use web resources to measure its population. Then new seeds are generated to replace original, poor-quality seeds. Experimental results show that new seed sets generated by their method can improve entity expansion performance by up to average 9.1% over original seed sets.

Embed

Wikipedia Quality

Qi, Zhenyu; Liu, Kang; Zhao, Jun Q.. (2012). "[[Are Human-Input Seeds Good Enough for Entity set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge]]". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 7675 LNCS, 2012, pp. 103-113. ISBN: 978-364235340-6. ISSN: 03029743. DOI: 10.1007/978-3-642-35341-3_9.

English Wikipedia

{{cite journal |last1=Qi |first1=Zhenyu |last2=Liu |first2=Kang |last3=Zhao |first3=Jun Q. |title=Are Human-Input Seeds Good Enough for Entity set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge |date=2012 |isbn=978-364235340-6 |issn=03029743 |doi=10.1007/978-3-642-35341-3_9 |url=https://wikipediaquality.com/wiki/Are_Human-Input_Seeds_Good_Enough_for_Entity_set_Expansion?_Seeds_Rewriting_by_Leveraging_Wikipedia_Semantic_Knowledge |journal=Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 7675 LNCS, 2012, pp. 103-113}}

HTML

Qi, Zhenyu; Liu, Kang; Zhao, Jun Q.. (2012). &quot;<a href="https://wikipediaquality.com/wiki/Are_Human-Input_Seeds_Good_Enough_for_Entity_set_Expansion?_Seeds_Rewriting_by_Leveraging_Wikipedia_Semantic_Knowledge">Are Human-Input Seeds Good Enough for Entity set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge</a>&quot;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 7675 LNCS, 2012, pp. 103-113. ISBN: 978-364235340-6. ISSN: 03029743. DOI: 10.1007/978-3-642-35341-3_9.