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SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability

2015-06-01 · SEMEVAL 2015 6 · Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, I{\~n}igo Lopez-Gazpio, Montse Maritxalar, Rada Mihalcea, German Rigau, Larraitz Uria, Janyce Wiebe

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Tasks

Natural Language Inference Question Answering Semantic Textual SimilarityTask 2

L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity

2017-08-01 · SEMEVAL 2017 8 · Pedro Fialho, Hugo Patinho Rodrigues, Lu{\'\i}sa Coheur, Paulo Quaresma

This paper describes our approach to the SemEval-2017 {``}Semantic Textual Similarity{''} and {``}Multilingual Word Similarity{''} tasks. In the former, we test our approach in both English and Spanish, and use a linguis…

Abstract Meaning Representation Semantic Textual Similarity Word Embeddings Word Similarity

CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity

2017-04-05 · SEMEVAL 2017 8 · Jeremy Ferrero, Frederic Agnes, Laurent Besacier, Didier Schwab

We present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of Spanish-English sentences, each system must estimate their semantic similarity by a score between 0 and 5. I…

ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing

2017-08-01 · SEMEVAL 2017 8 · Wenjie Liu, Chengjie Sun, Lei Lin, Bingquan Liu

Semantic Textual Similarity (STS) devotes to measuring the degree of equivalence in the underlying semantic of the sentence pair. We proposed a new system, ITNLP-AiKF, which applies in the SemEval 2017 Task1 Semantic Tex…

Feature Engineering regression Semantic Textual Similarity Sentence+1

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

2017-03-16 · SEMEVAL 2017 8 · Wenli Zhuang, Ernie Chang

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 m…

Cross-Lingual Semantic Textual Similarity Semantic Textual Similarity Sentence Sentence Similarity+1

ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity

2017-08-01 · SEMEVAL 2017 8 · Junfeng Tian, Zhiheng Zhou, Man Lan, Yuanbin Wu

To address semantic similarity on multilingual and cross-lingual sentences, we firstly translate other foreign languages into English, and then feed our monolingual English system with various interactive features. Our s…

Cross-Lingual Semantic Textual Similarity Machine Translation Semantic Similarity Semantic Textual Similarity