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        <title>Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework</title>
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    <name type="personal">
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            <title>Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)</title>
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    <abstract>We propose to unify a variety of existing semantic classification tasks, such as semantic role labeling, anaphora resolution, and paraphrase detection, under the heading of Recognizing Textual Entailment (RTE). We present a general strategy to automatically generate one or more sentential hypotheses based on an input sentence and pre-existing manual semantic annotations. The resulting suite of datasets enables us to probe a statistical RTE model’s performance on different aspects of semantics. We demonstrate the value of this approach by investigating the behavior of a popular neural network RTE model.</abstract>
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%0 Conference Proceedings
%T Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework
%A White, Aaron Steven
%A Rastogi, Pushpendre
%A Duh, Kevin
%A Van Durme, Benjamin
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F white-etal-2017-inference
%X We propose to unify a variety of existing semantic classification tasks, such as semantic role labeling, anaphora resolution, and paraphrase detection, under the heading of Recognizing Textual Entailment (RTE). We present a general strategy to automatically generate one or more sentential hypotheses based on an input sentence and pre-existing manual semantic annotations. The resulting suite of datasets enables us to probe a statistical RTE model’s performance on different aspects of semantics. We demonstrate the value of this approach by investigating the behavior of a popular neural network RTE model.
%U https://aclanthology.org/I17-1100
%P 996-1005

Markdown (Informal)

[Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework](https://aclanthology.org/I17-1100) (White et al., IJCNLP 2017)

• Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework (White et al., IJCNLP 2017)

ACL

• Aaron Steven White, Pushpendre Rastogi, Kevin Duh, and Benjamin Van Durme. 2017. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 996–1005, Taipei, Taiwan. Asian Federation of Natural Language Processing.