Mining Coreference Relations Between Formulas and Text Using Wikipedia

From Wikipedia Quality
Jump to: navigation, search


Mining Coreference Relations Between Formulas and Text Using Wikipedia
Authors
Minh Nghiem Quoc
Keisuke Yokoi
Yuichiroh Matsubayashi
Akiko Aizawa
Publication date
2010
Links
Original

Mining Coreference Relations Between Formulas and Text Using Wikipedia - scientific work related to Wikipedia quality published in 2010, written by Minh Nghiem Quoc, Keisuke Yokoi, Yuichiroh Matsubayashi and Akiko Aizawa.

Overview

In this paper, authors address the problem of discovering coreference relations between formulas and the surrounding text. The task is different from traditional coreference resolution because of the unique structure of the formulas. In this paper, authors present an approach, which authors call ‘CDF (Concept Description Formula)’, for mining coreference relations between formulas and the concepts that refer to them. Using Wikipedia articles as a target corpus, approach is based on surface level text matching between formulas and text, as well as patterns that represent relationships between them. The results showed the potential of approach for formulas and text coreference mining.

Embed

Wikipedia Quality

Quoc, Minh Nghiem; Yokoi, Keisuke; Matsubayashi, Yuichiroh; Aizawa, Akiko. (2010). "[[Mining Coreference Relations Between Formulas and Text Using Wikipedia]]".

English Wikipedia

{{cite journal |last1=Quoc |first1=Minh Nghiem |last2=Yokoi |first2=Keisuke |last3=Matsubayashi |first3=Yuichiroh |last4=Aizawa |first4=Akiko |title=Mining Coreference Relations Between Formulas and Text Using Wikipedia |date=2010 |url=https://wikipediaquality.com/wiki/Mining_Coreference_Relations_Between_Formulas_and_Text_Using_Wikipedia}}

HTML

Quoc, Minh Nghiem; Yokoi, Keisuke; Matsubayashi, Yuichiroh; Aizawa, Akiko. (2010). &quot;<a href="https://wikipediaquality.com/wiki/Mining_Coreference_Relations_Between_Formulas_and_Text_Using_Wikipedia">Mining Coreference Relations Between Formulas and Text Using Wikipedia</a>&quot;.