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        <title>Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model</title>
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        <namePart type="given">WenLi</namePart>
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            <title>Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)</title>
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            <namePart type="given">Steven</namePart>
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    <abstract>This paper describes a neural-network model which performed competitively (top 6) at the SemEval 2017 cross-lingual Semantic Textual Similarity (STS) task. Our system employs an attention-based recurrent neural network model that optimizes the sentence similarity. In this paper, we describe our participation in the multilingual STS task which measures similarity across English, Spanish, and Arabic.</abstract>
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    <identifier type="doi">10.18653/v1/S17-2023</identifier>
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%0 Conference Proceedings
%T Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model
%A Zhuang, WenLi
%A Chang, Ernie
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F zhuang-chang-2017-neobility
%X This paper describes a neural-network model which performed competitively (top 6) at the SemEval 2017 cross-lingual Semantic Textual Similarity (STS) task. Our system employs an attention-based recurrent neural network model that optimizes the sentence similarity. In this paper, we describe our participation in the multilingual STS task which measures similarity across English, Spanish, and Arabic.
%R 10.18653/v1/S17-2023
%U https://aclanthology.org/S17-2023
%U https://doi.org/10.18653/v1/S17-2023
%P 164-169

Markdown (Informal)

[Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model](https://aclanthology.org/S17-2023) (Zhuang & Chang, SemEval 2017)

• Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model (Zhuang & Chang, SemEval 2017)

ACL

• WenLi Zhuang and Ernie Chang. 2017. Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 164–169, Vancouver, Canada. Association for Computational Linguistics.