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arXiv · 1703.05465

Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model

Wenli Zhuang·Ernie Chang
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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.

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Wenli Zhuang, Ernie Chang. 2017-03-16. Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model. https://arxiv.org/abs/1703.05465

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