SemEval 2017 Task 1

task ID: semeval2017task1

Related Papers

LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis article describes our proposed system named LIM-LIG. This system is designed for SemEval 2017 Task1: Semantic Textual Similarity (Track1). LIM-LIG proposes an innovative enhancement to word embedding-based model devoted …...

25374

Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis is the Lump team participation at SemEval 2017 Task 1 on Semantic Textual Similarity. Our supervised model relies on features which are multilingual or interlingual in nature. We include …...

25372

MITRE at SemEval-2017 Task 1: Simple Semantic Similarity

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis paper describes MITRE’s participation in the Semantic Textual Similarity task (SemEval-2017 Task 1), which evaluated machine learning approaches to the identification of similar meaning among text snippets in English, …...

25365

QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis paper reports the details of our submissions in the task 1 of SemEval 2017. This task aims at assessing the semantic textual similarity of two sentences or texts. We …...

25371