Difference between revisions of "Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training"
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| + | | title = Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training | ||
| + | | date = 2010 | ||
| + | | authors = [[Fabio Massimo Zanzotto]]<br />[[Marco Pennacchiotti]] | ||
| + | | link = http://art.uniroma2.it/zanzotto/publications/2010_wsCOLING_ZanzottoPennacchiotti.pdf | ||
| + | }} | ||
'''Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Fabio Massimo Zanzotto]] and [[Marco Pennacchiotti]]. | '''Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Fabio Massimo Zanzotto]] and [[Marco Pennacchiotti]]. | ||
== Overview == | == Overview == | ||
In this paper authors propose a novel method to automatically extract large textual entailment datasets homogeneous to existing ones. The key idea is the combination of two intuitions: (1) the use of [[Wikipedia]] to extract a large set of textual entailment pairs; (2) the application of semisupervised machine learning methods to make the extracted dataset homogeneous to the existing ones. Authors report empirical evidence that method successfully expands existing textual entailment corpora. | In this paper authors propose a novel method to automatically extract large textual entailment datasets homogeneous to existing ones. The key idea is the combination of two intuitions: (1) the use of [[Wikipedia]] to extract a large set of textual entailment pairs; (2) the application of semisupervised machine learning methods to make the extracted dataset homogeneous to the existing ones. Authors report empirical evidence that method successfully expands existing textual entailment corpora. | ||
Revision as of 23:55, 21 July 2019
Authors | Fabio Massimo Zanzotto Marco Pennacchiotti |
|---|---|
Publication date | 2010 |
Links | Original |
Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training - scientific work related to Wikipedia quality published in 2010, written by Fabio Massimo Zanzotto and Marco Pennacchiotti.
Overview
In this paper authors propose a novel method to automatically extract large textual entailment datasets homogeneous to existing ones. The key idea is the combination of two intuitions: (1) the use of Wikipedia to extract a large set of textual entailment pairs; (2) the application of semisupervised machine learning methods to make the extracted dataset homogeneous to the existing ones. Authors report empirical evidence that method successfully expands existing textual entailment corpora.
