Difference between revisions of "Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia"
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== Overview == | == Overview == | ||
Cross-document coreference resolution is the task of grouping the entity mentions in a collection of documents into sets that each represent a distinct entity. It is central to knowledge base construction and also useful for joint inference with other NLP components. Obtaining large, organic labeled datasets for training and testing cross-document coreference has previously been difficult. This paper presents a method for automatically gathering massive amounts of naturally-occurring cross-document reference data. Authors also present the Wikilinks dataset comprising of 40 million mentions over 3 million entities, gathered using this method. Authors method is based on finding hyperlinks to [[Wikipedia]] from a web crawl and using anchor text as mentions. In addition to providing large-scale labeled data without human effort, authors are able to include many styles of text beyond newswire and many entity types beyond people. | Cross-document coreference resolution is the task of grouping the entity mentions in a collection of documents into sets that each represent a distinct entity. It is central to knowledge base construction and also useful for joint inference with other NLP components. Obtaining large, organic labeled datasets for training and testing cross-document coreference has previously been difficult. This paper presents a method for automatically gathering massive amounts of naturally-occurring cross-document reference data. Authors also present the Wikilinks dataset comprising of 40 million mentions over 3 million entities, gathered using this method. Authors method is based on finding hyperlinks to [[Wikipedia]] from a web crawl and using anchor text as mentions. In addition to providing large-scale labeled data without human effort, authors are able to include many styles of text beyond newswire and many entity types beyond people. | ||
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| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Singh, Sameer; Subramanya, Amarnag; Pereira, Fernando; McCallum, Andrew. (2012). "[[Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia]]". | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Singh |first1=Sameer |last2=Subramanya |first2=Amarnag |last3=Pereira |first3=Fernando |last4=McCallum |first4=Andrew |title=Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia |date=2012 |url=https://wikipediaquality.com/wiki/Wikilinks:_a_Large-Scale_Cross-Document_Coreference_Corpus_Labeled_via_Links_to_Wikipedia}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Singh, Sameer; Subramanya, Amarnag; Pereira, Fernando; McCallum, Andrew. (2012). &quot;<a href="https://wikipediaquality.com/wiki/Wikilinks:_a_Large-Scale_Cross-Document_Coreference_Corpus_Labeled_via_Links_to_Wikipedia">Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia</a>&quot;. | ||
| + | </nowiki> | ||
| + | </code> | ||
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| + | [[Category:Scientific works]] | ||
Latest revision as of 00:30, 26 January 2021
Authors | Sameer Singh Amarnag Subramanya Fernando Pereira Andrew McCallum |
|---|---|
Publication date | 2012 |
Links | Original |
Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia - scientific work related to Wikipedia quality published in 2012, written by Sameer Singh, Amarnag Subramanya, Fernando Pereira and Andrew McCallum.
Overview
Cross-document coreference resolution is the task of grouping the entity mentions in a collection of documents into sets that each represent a distinct entity. It is central to knowledge base construction and also useful for joint inference with other NLP components. Obtaining large, organic labeled datasets for training and testing cross-document coreference has previously been difficult. This paper presents a method for automatically gathering massive amounts of naturally-occurring cross-document reference data. Authors also present the Wikilinks dataset comprising of 40 million mentions over 3 million entities, gathered using this method. Authors method is based on finding hyperlinks to Wikipedia from a web crawl and using anchor text as mentions. In addition to providing large-scale labeled data without human effort, authors are able to include many styles of text beyond newswire and many entity types beyond people.
Embed
Wikipedia Quality
Singh, Sameer; Subramanya, Amarnag; Pereira, Fernando; McCallum, Andrew. (2012). "[[Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia]]".
English Wikipedia
{{cite journal |last1=Singh |first1=Sameer |last2=Subramanya |first2=Amarnag |last3=Pereira |first3=Fernando |last4=McCallum |first4=Andrew |title=Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia |date=2012 |url=https://wikipediaquality.com/wiki/Wikilinks:_a_Large-Scale_Cross-Document_Coreference_Corpus_Labeled_via_Links_to_Wikipedia}}
HTML
Singh, Sameer; Subramanya, Amarnag; Pereira, Fernando; McCallum, Andrew. (2012). "<a href="https://wikipediaquality.com/wiki/Wikilinks:_a_Large-Scale_Cross-Document_Coreference_Corpus_Labeled_via_Links_to_Wikipedia">Wikilinks: a Large-Scale Cross-Document Coreference Corpus Labeled via Links to Wikipedia</a>".
