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*SEMEVAL - 2017
Total Papers:- 212
Total Papers accross all years:- 1898
Total Citations :- 502
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Logical Metonymy in a Distributional Model of Sentence Comprehension
Emmanuele Chersoni |
Alessandro Lenci |
Philippe Blache |
Issues of Mass and Count: Dealing with ‘Dual-Life’ Nouns
Tibor Kiss |
Francis Jeffry Pelletier |
Halima Husić |
Johanna Poppek |
Parsing Graphs with Regular Graph Grammars
Sorcha Gilroy |
Adam Lopez |
Sebastian Maneth |
Predictive Linguistic Features of Schizophrenia
Efsun Sarioglu Kayi |
Mona Diab |
Luca Pauselli |
Michael Compton |
Glen Coppersmith |
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks
Mrinmaya Sachan |
Eric Xing |
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Steven Bethard |
Marine Carpuat |
Marianna Apidianaki |
Saif M. Mohammad |
Daniel Cer |
David Jurgens |
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity
Hao Wu |
Heyan Huang |
Ping Jian |
Yuhang Guo |
Chao Su |
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity
Jérémy Ferrero |
Laurent Besacier |
Didier Schwab |
Frédéric Agnès |
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features
Hussein T. Al-Natsheh |
Lucie Martinet |
Fabrice Muhlenbach |
Djamel Abdelkader Zighed |
DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output
Nabin Maharjan |
Rajendra Banjade |
Dipesh Gautam |
Lasang J. Tamang |
Vasile Rus |
FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach
Basma Hassan |
Samir AbdelRahman |
Reem Bahgat |
Ibrahim Farag |
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting
El Moatez Billah Nagoudi |
Jérémy Ferrero |
Didier Schwab |
OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity
Martyna Śpiewak |
Piotr Sobecki |
Daniel Karaś |
Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity
Cristina España-Bonet |
Alberto Barrón-Cedeño |
QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings
Fanqing Meng |
Wenpeng Lu |
Yuteng Zhang |
Jinyong Cheng |
Yuehan Du |
Shuwang Han |
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