Coreference in Wikipedia: Main Concept Resolution

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Coreference in Wikipedia: Main Concept Resolution
Authors
Abbas Ghaddar
Phillippe Langlais
Publication date
2016
DOI
10.18653/v1/K16-1023
Links
Original

Coreference in Wikipedia: Main Concept Resolution - scientific work related to Wikipedia quality published in 2016, written by Abbas Ghaddar and Phillippe Langlais.

Overview

Wikipedia is a resource of choice exploited in many NLP applications, yet authors are not aware of recent attempts to adapt coreference resolution to this resource. In this work, authors revisit a seldom studied task which consists in identifying in a Wikipedia article all the mentions of the main concept being described. Authors show that by exploiting the Wikipedia markup of a document, as well as links to external knowledge bases such as Freebase, authors can acquire useful information on entities that helps to classify mentions as coreferent or not. Authors designed a classifier which drastically outperforms fair baselines built on top of state-of-the-art coreference resolution systems. Authors also measure the benefits of this classifier in a full coreference resolution pipeline applied to Wikipedia texts.

Embed

Wikipedia Quality

Ghaddar, Abbas; Langlais, Phillippe. (2016). "[[Coreference in Wikipedia: Main Concept Resolution]]".DOI: 10.18653/v1/K16-1023.

English Wikipedia

{{cite journal |last1=Ghaddar |first1=Abbas |last2=Langlais |first2=Phillippe |title=Coreference in Wikipedia: Main Concept Resolution |date=2016 |doi=10.18653/v1/K16-1023 |url=https://wikipediaquality.com/wiki/Coreference_in_Wikipedia:_Main_Concept_Resolution}}

HTML

Ghaddar, Abbas; Langlais, Phillippe. (2016). &quot;<a href="https://wikipediaquality.com/wiki/Coreference_in_Wikipedia:_Main_Concept_Resolution">Coreference in Wikipedia: Main Concept Resolution</a>&quot;.DOI: 10.18653/v1/K16-1023.