SemEval 2017 — accepted papers
SemEval 2017 is the 2017 edition of the International Workshop on Semantic Evaluation (SemEval), held in Vancouver, Canada, August 2017 (publisher: Association for Computational Linguistics). The ACL Anthology lists 181 papers of it; our library holds 10 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationDaniel Cer, Mona Diab, Eneko Agirre et al.894 citations · our summary
- SemEval-2017 Task 4: Sentiment Analysis in TwitterSara Rosenthal, Noura Farra, Preslav Nakov870 citations · our summary
- DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisChristos Baziotis, Nikos Pelekis, Christos Doulkeridis485 citations · our summary
- SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumoursLeon Derczynski, Kalina Bontcheva, Maria Liakata et al.321 citations · our summary
- SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsIsabelle Augenstein, Mrinal Das, Sebastian Riedel et al.317 citations · our summary
- BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMsMathieu Cliche242 citations
- SemEval-2017 Task 3: Community Question AnsweringPreslav Nakov, Doris Hoogeveen, Lluís Màrquez et al.188 citations · our summary
- SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and NewsKeith Cortis, André Freitas, Tobias Daudert et al.156 citations
- SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word SimilarityJose Camacho-Collados, Mohammad Taher Pilehvar, Nigel Collier et al.143 citations
- SemEval-2017 Task 12: Clinical TempEvalSteven Bethard, Guergana Savova, Martha Palmer et al.121 citations · our summary
All accepted papers (181)
- SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationDaniel Cer, Mona Diab, Eneko Agirre et al.894 citations · our summary
- SemEval-2017 Task 4: Sentiment Analysis in TwitterSara Rosenthal, Noura Farra, Preslav Nakov870 citations · our summary
- DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisChristos Baziotis, Nikos Pelekis, Christos Doulkeridis485 citations · our summary
- SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumoursLeon Derczynski, Kalina Bontcheva, Maria Liakata et al.321 citations · our summary
- SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsIsabelle Augenstein, Mrinal Das, Sebastian Riedel et al.317 citations · our summary
- BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMsMathieu Cliche242 citations
- SemEval-2017 Task 3: Community Question AnsweringPreslav Nakov, Doris Hoogeveen, Lluís Màrquez et al.188 citations · our summary
- SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and NewsKeith Cortis, André Freitas, Tobias Daudert et al.156 citations
- SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word SimilarityJose Camacho-Collados, Mohammad Taher Pilehvar, Nigel Collier et al.143 citations
- SemEval-2017 Task 12: Clinical TempEvalSteven Bethard, Guergana Savova, Martha Palmer et al.121 citations · our summary
- IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verificationYi-Chin Chen, Zhao-Yang Liu, Hung-Yu Kao105 citations
- SemEval-2017 Task 7: Detection and Interpretation of English PunsTristan Miller, Christian Hempelmann, Iryna Gurevych105 citations · our summary
- NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.Omar Enayet, Samhaa R. El-Beltagy99 citations
- 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 SimilarityJunfeng Tian, Zhiheng Zhou, Man Lan et al.80 citations
- SemEval-2017 Task 6: \#HashtagWars: Learning a Sense of HumorPeter Potash, Alexey Romanov, Anna Rumshisky66 citations
- SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question AnsweringDelphine Charlet, Géraldine Damnati66 citations
- SemEval-2017 Task 9: Abstract Meaning Representation Parsing and GenerationJonathan May, Jay Priyadarshi65 citations
- ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational KnowledgeRobyn Speer, Joanna Lowry-Duda53 citations
- NileTMRG at SemEval-2017 Task 4: Arabic Sentiment AnalysisSamhaa R. El-Beltagy, Mona El Kalamawy, Abu Bakr Soliman52 citations
- The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extractionWaleed Ammar, Matthew E. Peters, Chandra Bhagavatula et al.50 citations
- KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question AnsweringSimone Filice, Giovanni Da San Martino, Alessandro Moschitti43 citations
- UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent FeaturesHareesh Bahuleyan, Olga Vechtomova42 citations
- BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual SimilarityHao Wu, Heyan Huang, Ping Jian et al.41 citations
- ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial DomainMengxiao Jiang, Man Lan, Yuanbin Wu37 citations
See all 181 papers in SemEval 2017 — accepted papers →
Papers with our summary in our library (10)
- SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationDaniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 1,813 citations
- SemEval-2017 Task 4: Sentiment Analysis in TwitterSara Rosenthal, Noura Farra, Preslav Nakov2017 · 1,161 citations
- DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisChristos Baziotis, Nikos Pelekis, Christos Doulkeridis2017 · 588 citations
- SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsIsabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.2017 · 437 citations
- SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumoursLeon Derczynski, Kalina Bontcheva, Maria Liakata, et al.2017 · 429 citations
- SemEval-2017 Task 3: Community Question AnsweringPreslav Nakov, Doris Hoogeveen, Lluís Màrquez, et al.2017 · 262 citations
- SemEval-2017 Task 12: Clinical TempEvalSteven Bethard, Guergana Savova, Martha Palmer, et al.2017 · 176 citations
- SemEval-2017 Task 7: Detection and Interpretation of English PunsTristan Miller, Christian Hempelmann, Iryna Gurevych2017 · 172 citations
- RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and GenerationNormunds Gruzitis, Didzis Gosko, Guntis Barzdins2017 · 19 citations
- TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question AnswersMohammed R. H. Qwaider, Abed Alhakim Freihat, Fausto Giunchiglia2017 · 8 citations
Top topics
Sentiment & emotion (2)Semitic languages (2)Implicature (1)Machine translation (1)Question answering (1)Multilingual & cross-lingual NLP (1)Syntax & grammar formalisms (1)Semantic parsing & meaning representation (1)English (1)
Fields
Arts and Humanities (9)Computer Science (9)Biochemistry, Genetics and Molecular Biology (2)Psychology (1)Social Sciences (1)
Top authors
Top institutions
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