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Academic Paper


Title: Assessing the impact of frame semantics on textual entailment
Author: Aljoscha Burchardt
Email: click here TO access email
Homepage: http://www.coli.uni-sb.de/~albu/
Institution: Saarland University
Author: Marco Pennacchiotti
Institution: Yahoo! Research
Author: Stefan Thater
Email: click here TO access email
Homepage: http://www.coli.uni-sb.de/~stth/
Institution: Saarland University
Author: Manfred Pinkal
Email: click here TO access email
Homepage: http://www.coli.uni-saarland.de/~pinkal/
Institution: Saarland University
Linguistic Field: Pragmatics; Semantics; Text/Corpus Linguistics
Abstract: In this article, we underpin the intuition that frame semantic information is a useful resource for modelling textual entailment. To this end, we provide a manual frame semantic annotation for the test set used in the second recognizing textual entailment (RTE) challenge – the FrameNet-annotated textual entailment (FATE) corpus – and discuss experiments we conducted on this basis. In particular, our experiments show that the frame semantic lexicon provided by the Berkeley FrameNet project provides surprisingly good coverage for the task at hand. We identify issues of automatic semantic analysis components, as well as insufficient modelling of the information provided by frame semantic analysis as reasons for ambivalent results of current systems based on frame semantics.

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This article appears IN Natural Language Engineering Vol. 15, Issue 4, which you can READ on Cambridge's site or on LINGUIST .



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