PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Resource for Investigating the Impact of Anaphora and Coreference on Inference
Azad Abad, Luisa Bentivogli, Ido Dagan, Danilo Giampiccolo, Shachar Mirkin, Emanuele Pianta and Asher Stern
In: LREC 2010, 17-23 May 2010, Malta.

Abstract

Discourse phenomena play a major role in text processing tasks. However, so far relatively little study has been devoted to the relevance of discourse phenomena for inference. Therefore, an experimental study was carried out to assess the relevance of anaphora and coreference for Textual Entailment (TE), a prominent inference framework. First, the annotation of anaphoric and coreferential links in the RTE-5 Search data set was performed according to a specifically designed annotation scheme. As a result, a new data set was created where all anaphora and coreference instances in the entailing sentences which are relevant to the entailment judgment are solved and annotated. A by-product of the annotation is a new “augmented” data set, where all the referring expressions which need to be resolved in the entailing sentences are replaced by explicit expressions. Starting from the final output of the annotation, the actual impact of discourse phenomena on inference engines was investigated, identifying the kind of operations that the systems need to apply to address discourse phenomena and trying to find direct mappings between these operation and annotation types.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:7729
Deposited By:Shachar Mirkin
Deposited On:17 March 2011