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SemEval 2017: all accepted papers

181 papers · page 1 of 2 · the most cited first · ← SemEval 2017

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  1. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationDaniel Cer, Mona Diab, Eneko Agirre et al.894 citations · our summary
  2. SemEval-2017 Task 4: Sentiment Analysis in TwitterSara Rosenthal, Noura Farra, Preslav Nakov870 citations · our summary
  3. 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
  4. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumoursLeon Derczynski, Kalina Bontcheva, Maria Liakata et al.321 citations · our summary
  5. SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsIsabelle Augenstein, Mrinal Das, Sebastian Riedel et al.317 citations · our summary
  6. BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMsMathieu Cliche242 citations
  7. SemEval-2017 Task 3: Community Question AnsweringPreslav Nakov, Doris Hoogeveen, Lluís Màrquez et al.188 citations · our summary
  8. SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and NewsKeith Cortis, André Freitas, Tobias Daudert et al.156 citations
  9. SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word SimilarityJose Camacho-Collados, Mohammad Taher Pilehvar, Nigel Collier et al.143 citations
  10. SemEval-2017 Task 12: Clinical TempEvalSteven Bethard, Guergana Savova, Martha Palmer et al.121 citations · our summary
  11. IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verificationYi-Chin Chen, Zhao-Yang Liu, Hung-Yu Kao105 citations
  12. SemEval-2017 Task 7: Detection and Interpretation of English PunsTristan Miller, Christian Hempelmann, Iryna Gurevych105 citations · our summary
  13. NileTMRG at SemEval-2017 Task 8: Determining Rumour and Veracity Support for Rumours on Twitter.Omar Enayet, Samhaa R. El-Beltagy99 citations
  14. 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
  15. HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual SimilarityYang Shao68 citations
  16. SemEval-2017 Task 6: \#HashtagWars: Learning a Sense of HumorPeter Potash, Alexey Romanov, Anna Rumshisky66 citations
  17. SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question AnsweringDelphine Charlet, Géraldine Damnati66 citations
  18. SemEval-2017 Task 9: Abstract Meaning Representation Parsing and GenerationJonathan May, Jay Priyadarshi65 citations
  19. ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational KnowledgeRobyn Speer, Joanna Lowry-Duda53 citations
  20. NileTMRG at SemEval-2017 Task 4: Arabic Sentiment AnalysisSamhaa R. El-Beltagy, Mona El Kalamawy, Abu Bakr Soliman52 citations
  21. 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
  22. KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question AnsweringSimone Filice, Giovanni Da San Martino, Alessandro Moschitti43 citations
  23. UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent FeaturesHareesh Bahuleyan, Olga Vechtomova42 citations
  24. BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual SimilarityHao Wu, Heyan Huang, Ping Jian et al.41 citations
  25. 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
  26. IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment AnalysisDeepanway Ghosal, Shobhit Bhatnagar, Md Shad Akhtar et al.36 citations
  27. ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep LearningJosé-Ángel González, Ferran Pla, Lluís-F. Hurtado35 citations
  28. Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News HeadlinesYouness Mansar, Lorenzo Gatti, Sira Ferradans et al.34 citations
  29. ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble ModelsFeixiang Wang, Man Lan, Yuanbin Wu32 citations
  30. SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of FeaturesMohammed Jabreel, Antonio Moreno32 citations
  31. CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and QuantificationRaj Kumar Gupta, Yinping Yang31 citations
  32. MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural NetworksJi Young Lee, Franck Dernoncourt, Peter Szolovits28 citations
  33. OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based ModelRamy Baly, Gilbert Badaro, Ali Hamdi et al.27 citations
  34. DFKI-DKT at SemEval-2017 Task 8: Rumour Detection and Classification using Cascading HeuristicsAnkit Srivastava, Georg Rehm, Julian Moreno Schneider26 citations
  35. GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information ExtractionSean MacAvaney, Arman Cohan, Nazli Goharian26 citations
  36. NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment AnalysisEdilson Anselmo Corrêa Júnior, Vanessa Queiroz Marinho, Leandro Borges dos Santos26 citations
  37. NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different EmbeddingsYichun Yin, Yangqiu Song, Ming Zhang25 citations
  38. FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducersSimon Mille, Roberto Carlini, Alicia Burga et al.24 citations
  39. IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour EvaluationVikram Singh, Sunny Narayan, Md Shad Akhtar et al.24 citations
  40. LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical NarrativesJulien Tourille, Olivier Ferret, Xavier Tannier et al.24 citations
  41. RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural NetworksSudipta Kar, Suraj Maharjan, Thamar Solorio24 citations
  42. Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic TweetsHala Mulki, Hatem Haddad, Mourad Gridach et al.22 citations
  43. ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering TaskGuoshun Wu, Yixuan Sheng, Man Lan et al.21 citations
  44. LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment ClassificationMickael Rouvier21 citations
  45. YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment ClassificationHaowei Zhang, Jin Wang, Jixian Zhang et al.21 citations
  46. DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text ComparisonChristos Baziotis, Nikos Pelekis, Christos Doulkeridis20 citations
  47. Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English PunsSamuel Doogan, Aniruddha Ghosh, Hanyang Chen et al.20 citations
  48. Mama Edha at SemEval-2017 Task 8: Stance Classification with CNN and RulesMarianela García Lozano, Hanna Lilja, Edward Tjörnhammar et al.20 citations
  49. Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question AnsweringWenzheng Feng, Yu Wu, Wei Wu et al.19 citations
  50. DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model OutputNabin Maharjan, Rajendra Banjade, Dipesh Gautam et al.19 citations
  51. Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlinesAndrew Moore, Paul Rayson19 citations
  52. Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English LanguageVijayasaradhi Indurthi, Subba Reddy Oota18 citations
  53. IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial TextAbhishek Kumar, Abhishek Sethi, Md Shad Akhtar et al.18 citations
  54. SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression ModelAngel Deborah S, S Milton Rajendram, T T Mirnalinee18 citations
  55. CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual SimilarityJérémy Ferrero, Laurent Besacier, Didier Schwab et al.17 citations
  56. LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors WeightingEl Moatez Billah Nagoudi, Jérémy Ferrero, Didier Schwab17 citations
  57. LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity ClassificationAmal Htait, Sébastien Fournier, Patrice Bellot17 citations
  58. INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment AnalysisSabino Miranda-Jiménez, Mario Graff, Eric Sadit Tellez et al.16 citations
  59. N-Hance at SemEval-2017 Task 7: A Computational Approach using Word Association for PunsÖzge Sevgili, Nima Ghotbi, Selma Tekir16 citations
  60. PKU_ICL at SemEval-2017 Task 10: Keyphrase Extraction with Model Ensemble and External KnowledgeLiang Wang, Sujian Li16 citations
  61. BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN ApproachesDeger Ayata, Murat Saraclar, Arzucan Ozgur15 citations
  62. DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment AnalysisSymeon Symeonidis, Dimitrios Effrosynidis, John Kordonis et al.15 citations
  63. Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented AttentionJan Buys, Phil Blunsom15 citations
  64. Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity ModelWenLi Zhuang, Ernie Chang14 citations
  65. IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationTitas Nandi, Chris Biemann, Seid Muhie Yimam et al.13 citations
  66. RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and GenerationNormunds Gruzitis, Didzis Gosko, Guntis Barzdins13 citations · our summary
  67. Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTMElena Kochkina, Maria Liakata, Isabelle Augenstein13 citations
  68. UWaterloo at SemEval-2017 Task 7: Locating the Pun Using Syntactic Characteristics and Corpus-based MetricsOlga Vechtomova13 citations
  69. Duluth at SemEval-2017 Task 7 : Puns Upon a Midnight Dreary, Lexical Semantics for the Weak and WearyTed Pedersen12 citations
  70. HLP@UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectorsAbeed Sarker, Graciela Gonzalez12 citations
  71. JU CSE NLP @ SemEval 2017 Task 7: Employing Rules to Detect and Interpret English PunsAniket Pramanick, Dipankar Das12 citations
  72. SemEval-2017 Task 11: End-User Development using Natural LanguageJuliano Sales, Siegfried Handschuh, André Freitas12 citations
  73. Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.Gerasimos Lampouras, Andreas Vlachos12 citations
  74. Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in TwitterAthanasia Kolovou, Filippos Kokkinos, Aris Fergadis et al.12 citations
  75. UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise FeaturesHussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach et al.12 citations
  76. Duluth at SemEval-2017 Task 6: Language Models in Humor DetectionXinru Yan, Ted Pedersen11 citations
  77. ECNU at SemEval-2017 Task 7: Using Supervised and Unsupervised Methods to Detect and Locate English PunsYuhuan Xiu, Man Lan, Yuanbin Wu11 citations
  78. FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity ApproachBasma Hassan, Samir AbdelRahman, Reem Bahgat et al.11 citations
  79. LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich FeaturesNaman Goyal11 citations
  80. PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and InterpretationElena Mikhalkova, Yuri Karyakin11 citations
  81. SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process ClassifierAngel Deborah S, S Milton Rajendram, T T Mirnalinee11 citations
  82. Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity ClassificationHussam Hamdan11 citations
  83. TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial newsLeon Rotim, Martin Tutek, Jan Šnajder11 citations
  84. HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor RecognitionDavid Donahue, Alexey Romanov, Anna Rumshisky10 citations
  85. MITRE at SemEval-2017 Task 1: Simple Semantic SimilarityJohn Henderson, Elizabeth Merkhofer, Laura Strickhart et al.10 citations
  86. OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random FieldsChukwuyem Onyibe, Nizar Habash10 citations
  87. SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph VectorMirela-Stefania Duma, Wolfgang Menzel10 citations
  88. SentiHeros at SemEval-2017 Task 5: An application of Sentiment Analysis on Financial TweetsNarges Tabari, Armin Seyeditabari, Wlodek Zadrozny10 citations
  89. XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid ModelYu Long, Zhijing Li, Xuan Wang et al.10 citations
  90. bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility FeaturesYuta Koreeda, Takuya Hashito, Yoshiki Niwa et al.10 citations
  91. FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word EmbeddingsPedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares et al.9 citations
  92. GW_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic ForaNada Almarwani, Mona Diab9 citations
  93. HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning MethodsTobias Cabanski, Julia Romberg, Stefan Conrad9 citations
  94. KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical RecordsArtuur Leeuwenberg, Marie-Francine Moens9 citations
  95. SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question AnsweringJan Milan Deriu, Mark Cieliebak9 citations
  96. deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in TwitterTzu-Hsuan Yang, Tzu-Hsuan Tseng, Chia-Ping Chen9 citations
  97. Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word SimilarityNiloofar Ranjbar, Fatemeh Mashhadirajab, Mehrnoush Shamsfard et al.8 citations
  98. MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific PublicationsSijia Liu, Feichen Shen, Vipin Chaudhary et al.8 citations
  99. QU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering ForumsMarwan Torki, Maram Hasanain, Tamer Elsayed8 citations
  100. TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment AnalysisAmit Ajit Deshmane, Jasper Friedrichs8 citations

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