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        <title>Natural Language Inference from Multiple Premises</title>
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    <name type="personal">
        <namePart type="given">Alice</namePart>
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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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            <namePart type="given">Greg</namePart>
            <namePart type="family">Kondrak</namePart>
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        <name type="personal">
            <namePart type="given">Taro</namePart>
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            <publisher>Asian Federation of Natural Language Processing</publisher>
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    <abstract>We define a novel textual entailment task that requires inference over multiple premise sentences. We present a new dataset for this task that minimizes trivial lexical inferences, emphasizes knowledge of everyday events, and presents a more challenging setting for textual entailment. We evaluate several strong neural baselines and analyze how the multiple premise task differs from standard textual entailment.</abstract>
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%0 Conference Proceedings
%T Natural Language Inference from Multiple Premises
%A Lai, Alice
%A Bisk, Yonatan
%A Hockenmaier, Julia
%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 lai-etal-2017-natural
%X We define a novel textual entailment task that requires inference over multiple premise sentences. We present a new dataset for this task that minimizes trivial lexical inferences, emphasizes knowledge of everyday events, and presents a more challenging setting for textual entailment. We evaluate several strong neural baselines and analyze how the multiple premise task differs from standard textual entailment.
%U https://aclanthology.org/I17-1011
%P 100-109

Markdown (Informal)

[Natural Language Inference from Multiple Premises](https://aclanthology.org/I17-1011) (Lai et al., IJCNLP 2017)

• Natural Language Inference from Multiple Premises (Lai et al., IJCNLP 2017)

ACL

• Alice Lai, Yonatan Bisk, and Julia Hockenmaier. 2017. Natural Language Inference from Multiple Premises. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 100–109, Taipei, Taiwan. Asian Federation of Natural Language Processing.