STS 2016
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ID: sts2016
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MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model
Given two sentences, participating systems assign a semantic similarity score in the range of 0-5. We applied two different techniques for the task: one is based on lexical semantic net …...
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement
We describe an attention-based convolutional neural network for the English semantic tex- tual similarity (STS) task in the SemEval- 2016 competition (Agirre et al., 2016). We develop an attention-based input …...