Swat: a System for Detecting Salient Wikipedia Entities in Texts

Swat: a System for Detecting Salient Wikipedia Entities in Texts

Authors	Marco Ponza Paolo Ferragina Francesco Piccinno
Publication date	2018
Links	Original Preprint

Swat: a System for Detecting Salient Wikipedia Entities in Texts - scientific work related to Wikipedia quality published in 2018, written by Marco Ponza, Paolo Ferragina and Francesco Piccinno.

Overview

Authors study the problem of entity salience by proposing the design and implementation of SWAT, a system that identifies the salient Wikipedia entities occurring in an input document. SWAT consists of several modules that are able to detect and classify on-the-fly Wikipedia entities as salient or not, based on a large number of syntactic, semantic and latent features properly extracted via a supervised process which has been trained over millions of examples drawn from the New York Times corpus. The validation process is performed through a large experimental assessment, eventually showing that SWAT improves known solutions over all publicly available datasets. Authors release SWAT via an API that authors describe and comment in the paper in order to ease its use in other software.

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Wikipedia Quality

Ponza, Marco; Ferragina, Paolo; Piccinno, Francesco. (2018). "[[Swat: a System for Detecting Salient Wikipedia Entities in Texts]]".

English Wikipedia

{{cite journal |last1=Ponza |first1=Marco |last2=Ferragina |first2=Paolo |last3=Piccinno |first3=Francesco |title=Swat: a System for Detecting Salient Wikipedia Entities in Texts |date=2018 |url=https://wikipediaquality.com/wiki/Swat:_a_System_for_Detecting_Salient_Wikipedia_Entities_in_Texts}}

HTML

Ponza, Marco; Ferragina, Paolo; Piccinno, Francesco. (2018). &quot;<a href="https://wikipediaquality.com/wiki/Swat:_a_System_for_Detecting_Salient_Wikipedia_Entities_in_Texts">Swat: a System for Detecting Salient Wikipedia Entities in Texts</a>&quot;.