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Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model
March 16, 2017 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Wenli Zhuang, Ernie Chang
arXiv ID
1703.05465
Category
cs.CL: Computation & Language
Citations
16
Venue
International Workshop on Semantic Evaluation
Last Checked
4 months ago
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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