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Conference Papers Year : 2010

Benchmarking for syntax-based sentential inference


We propose a methodology for investigat- ing how well NLP systems handle mean- ing preserving syntactic variations. We start by presenting a method for the semi automated creation of a benchmark where entailment is mediated solely by meaning preserving syntactic variations. We then use this benchmark to compare a seman- tic role labeller and two grammar based RTE systems. We argue that the proposed methodology (i) supports a modular eval- uation of the ability of NLP systems to handle the syntax/semantic interface and (ii) permits focused error mining and er- ror analysis.
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inria-00536022 , version 1 (15-11-2010)


  • HAL Id : inria-00536022 , version 1


Paul Bedaride, Claire Gardent. Benchmarking for syntax-based sentential inference. The 23rd International Conference on Computational Linguistics - COLING 2010, Aug 2010, Beijing, China. ⟨inria-00536022⟩
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