Difference between revisions of "Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training"
(+ embed code) |
(Category) |
||
| Line 31: | Line 31: | ||
</nowiki> | </nowiki> | ||
</code> | </code> | ||
| + | |||
| + | |||
| + | |||
| + | [[Category:Scientific works]] | ||
Latest revision as of 08:58, 9 December 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.
Embed
Wikipedia Quality
Zanzotto, Fabio Massimo; Pennacchiotti, Marco. (2010). "[[Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training]]".
English Wikipedia
{{cite journal |last1=Zanzotto |first1=Fabio Massimo |last2=Pennacchiotti |first2=Marco |title=Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training |date=2010 |url=https://wikipediaquality.com/wiki/Expanding_Textual_Entailment_Corpora_Fromwikipedia_Using_Co-Training}}
HTML
Zanzotto, Fabio Massimo; Pennacchiotti, Marco. (2010). "<a href="https://wikipediaquality.com/wiki/Expanding_Textual_Entailment_Corpora_Fromwikipedia_Using_Co-Training">Expanding Textual Entailment Corpora Fromwikipedia Using Co-Training</a>".
