SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
Semantic Textual Similarity (STS) measures the degree of semantic equivalence between two texts. This paper presents the results of the STS pilot task in Semeval. The training d...
Publications
5 shownSemEval-2014 Task 10: Multilingual Semantic Textual Similarity
Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, Rada Mihalcea, German Rigau, Janyce Wiebe. Proceedings of the 8th Internatio...
*SEM 2013 shared task: Semantic Textual Similarity
In Semantic Textual Similarity (STS), systems rate the degree of semantic equivalence, on a graded scale from 0 to 5, with 5 being the most similar. This year we set up two task...
Learning Semantic Textual Similarity from Conversations
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil. Proceedings of the Third Workshop on Repres...
Universal Sentence Encoder
We present models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. The models are efficient and result in accurate pe...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 3,026
- Institution
- Stanford University
External Links
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.