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SemEval 2015: all accepted papers

162 papers · page 1 of 2 · the most cited first · ← SemEval 2015

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  1. SemEval-2015 Task 12: Aspect Based Sentiment AnalysisMaria Pontiki, Dimitris Galanis, Haris Papageorgiou et al.1,149 citations · our summary
  2. SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on InterpretabilityEneko Agirre, Carmen Banea, Claire Cardie et al.466 citations · our summary
  3. SemEval-2015 Task 10: Sentiment Analysis in TwitterSara Rosenthal, Preslav Nakov, Svetlana Kiritchenko et al.367 citations · our summary
  4. SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity LinkingAndrea Moro, Roberto Navigli214 citations
  5. SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in TwitterAniruddha Ghosh, Guofu Li, Tony Veale et al.206 citations · our summary
  6. UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment ClassificationAliaksei Severyn, Alessandro Moschitti201 citations
  7. SemEval-2015 Task 6: Clinical TempEvalSteven Bethard, Leon Derczynski, Guergana Savova et al.169 citations
  8. SemEval-2015 Task 3: Answer Selection in Community Question AnsweringPreslav Nakov, Lluís Màrquez, Walid Magdy et al.153 citations
  9. SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)Wei Xu, Chris Callison-Burch, Bill Dolan140 citations · our summary
  10. SemEval 2015 Task 18: Broad-Coverage Semantic Dependency ParsingStephan Oepen, Marco Kuhlmann, Yusuke Miyao et al.137 citations
  11. SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised LearningPrerna Chikersal, Soujanya Poria, Erik Cambria116 citations
  12. DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector CompositionMd Arafat Sultan, Steven Bethard, Tamara Sumner115 citations
  13. SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval)Georgeta Bordea, Paul Buitelaar, Stefano Faralli et al.86 citations
  14. Webis: An Ensemble for Twitter Sentiment DetectionMatthias Hagen, Martin Potthast, Michel Büchner et al.84 citations
  15. SemEval-2015 Task 4: TimeLine: Cross-Document Event OrderingAnne-Lyse Minard, Manuela Speranza, Eneko Agirre et al.81 citations
  16. JAIST: Combining multiple features for Answer Selection in Community Question AnsweringQuan Hung Tran, Vu Duc Tran, Tu Thanh Vu et al.73 citations
  17. Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity AnalysisHussam Hamdan, Patrice Bellot, Frederic Bechet65 citations
  18. NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target ExtractionZhiqiang Toh, Jian Su64 citations
  19. QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and EnglishMassimo Nicosia, Simone Filice, Alberto Barrón-Cedeño et al.56 citations
  20. SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question AnsweringHector Llorens, Nathanael Chambers, Naushad UzZaman et al.56 citations
  21. Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12José Saias54 citations
  22. SemEval-2015 Task 8: SpaceEvalJames Pustejovsky, Parisa Kordjamshidi, Marie-Francine Moens et al.52 citations
  23. SemEval-2015 Task 14: Analysis of Clinical TextNoémie Elhadad, Sameer Pradhan, Sharon Gorman et al.51 citations
  24. EliXa: A Modular and Flexible ABSA PlatformIñaki San Vicente, Xabier Saralegi, Rodrigo Agerri50 citations
  25. Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in TwitterHussam Hamdan, Patrice Bellot, Frederic Bechet46 citations
  26. HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question AnsweringYongshuai Hou, Cong Tan, Xiaolong Wang et al.42 citations
  27. SemEval-2015 Task 9: CLIPEval Implicit Polarity of EventsIrene Russo, Tommaso Caselli, Carlo Strapparava42 citations
  28. Twitter Paraphrase Identification with Simple Overlap Features and SVMsAsli Eyecioglu, Bill Keller41 citations
  29. VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering SystemsYonatan Belinkov, Mitra Mohtarami, Scott Cyphers et al.41 citations
  30. ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual SimilarityChristian Hänig, Robert Remus, Xose De La Puente39 citations
  31. SemEval 2015, Task 7: Diachronic Text EvaluationOctavian Popescu, Carlo Strapparava39 citations
  32. INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon InductionSilvio Amir, Ramon F. Astudillo, Wang Ling et al.36 citations
  33. V3: Unsupervised Aspect Based Sentiment Analysis for SemEval2015 Task 12Aitor García-Pablos, Montse Cuadros, German Rigau34 citations
  34. Peking: Building Semantic Dependency Graphs with a Hybrid ParserYantao Du, Fan Zhang, Xun Zhang et al.33 citations
  35. ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in ReviewsZhihua Zhang, Man Lan29 citations
  36. SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment AnalysisMauro Dragoni29 citations
  37. NeRoSim: A System for Measuring and Interpreting Semantic Textual SimilarityRajendra Banjade, Nobal Bikram Niraula, Nabin Maharjan et al.28 citations
  38. BluLab: Temporal Information Extraction for the 2015 Clinical TempEval ChallengeSumithra Velupillai, Danielle L Mowery, Samir Abdelrahman et al.27 citations
  39. ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection ChallengeXiaoqiang Zhou, Baotian Hu, Jiaxin Lin et al.26 citations
  40. ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and SarcasmDelia Irazú Hernández Farías, Emilio Sulis, Viviana Patti et al.26 citations · our summary
  41. MITRE: Seven Systems for Semantic Similarity in TweetsGuido Zarrella, John Henderson, Elizabeth M. Merkhofer et al.25 citations
  42. Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain DataMariana S. C. Almeida, André F. T. Martins23 citations
  43. UDLAP: Sentiment Analysis Using a Graph-Based RepresentationEsteban Castillo, Ofelia Cervantes, Darnes Vilariño et al.22 citations
  44. GTI: An Unsupervised Approach for Sentiment Analysis in TwitterMilagros Fernández-Gavilanes, Tamara Álvarez-López, Jonathan Juncal-Martínez et al.21 citations
  45. USAAR-WLV: Hypernym Generation with Deep Neural NetsLiling Tan, Rohit Gupta, Josef van Genabith21 citations
  46. SIEL: Aspect Based Sentiment Analysis in ReviewsSatarupa Guha, Aditya Joshi, Vasudeva Varma20 citations
  47. CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11Canberk Özdemir, Sabine Bergler19 citations
  48. UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14Jun Xu, Yaoyun Zhang, Jingqi Wang et al.19 citations
  49. ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity EstimationJiang Zhao, Man Lan, Jun Feng Tian18 citations
  50. MiniExperts: An SVM Approach for Measuring Semantic Textual SimilarityHanna Béchara, Hernani Costa, Shiva Taslimipoor et al.18 citations
  51. Samsung: Align-and-Differentiate Approach to Semantic Textual SimilarityLushan Han, Justin Martineau, Doreen Cheng et al.18 citations
  52. IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!Ayushi Dalmia, Manish Gupta, Vasudeva Varma17 citations
  53. INRIASAC: Simple Hypernym Extraction MethodsGregory Grefenstette17 citations
  54. LT3: A Multi-modular Approach to Automatic Taxonomy ConstructionEls Lefever17 citations
  55. ezDI: A Supervised NLP System for Clinical Narrative AnalysisParth Pathak, Pinal Patel, Vishal Panchal et al.17 citations
  56. Al-Bayan: A Knowledge-based System for Arabic Answer SelectionReham Mohamed, Maha Ragab, Heba Abdelnasser et al.16 citations
  57. ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding FeaturesZhihua Zhang, Guoshun Wu, Man Lan16 citations
  58. LLT-PolyU: Identifying Sentiment Intensity in Ironic TweetsHongzhi Xu, Enrico Santus, Anna Laszlo et al.16 citations · our summary
  59. SpRL-CWW: Spatial Relation Classification with Independent Multi-class ModelsEric Nichols, Fadi Botros16 citations
  60. UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in TwitterFrancesco Barbieri, Francesco Ronzano, Horacio Saggion16 citations
  61. KLUEless: Polarity Classification and AssociationNataliia Plotnikova, Micha Kohl, Kevin Volkert et al.15 citations
  62. ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in TwitterJiang Zhao, Man Lan14 citations
  63. LT3: Sentiment Analysis of Figurative Tweets: piece of cake \#NotReallyCynthia Van Hee, Els Lefever, Véronique Hoste14 citations
  64. ULisboa: Recognition and Normalization of Medical ConceptsAndré Leal, Bruno Martins, Francisco Couto14 citations
  65. DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative Language on TwitterMaria Karanasou, Christos Doulkeridis, Maria Halkidi13 citations
  66. Ebiquity: Paraphrase and Semantic Similarity in Twitter using SkipgramsTaneeya Satyapanich, Hang Gao, Tim Finin13 citations
  67. IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the Automatic Recognition of Spatial Information following the ISO-Space Annotation SchemeHaritz Salaberri, Olatz Arregi, Beñat Zapirain13 citations
  68. SWASH: A Naive Bayes Classifier for Tweet Sentiment IdentificationRuth Talbot, Chloe Acheampong, Richard Wicentowski13 citations
  69. UCD : Diachronic Text Classification with Character, Word, and Syntactic N-gramsTerrence Szymanski, Gerard Lynch13 citations
  70. UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic FeaturesPierpaolo Basile, Nicole Novielli13 citations
  71. WSL: Sentence Similarity Using Semantic Distance Between WordsNaoko Miura, Tomohiro Takagi13 citations
  72. LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment AnalysisOrphée De Clercq, Marjan Van de Kauter, Els Lefever et al.11 citations
  73. RTM-DCU: Predicting Semantic Similarity with Referential Translation MachinesErgun Biçici11 citations
  74. TwitterHawk: A Feature Bucket Based Approach to Sentiment AnalysisWilliam Boag, Peter Potash, Anna Rumshisky11 citations
  75. IOA: Improving SVM Based Sentiment Classification Through Post ProcessingPeijia Li, Weiqun Xu, Chenglong Ma et al.10 citations
  76. LIMSI: Translations as Source of Indirect Supervision for Multilingual All-Words Sense Disambiguation and Entity LinkingMarianna Apidianaki, Li Gong10 citations
  77. SPINOZA_VU: An NLP Pipeline for Cross Document TimeLinesTommaso Caselli, Antske Fokkens, Roser Morante et al.10 citations
  78. TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity ClassificationZhifei Zhang, Jian-Yun Nie, Hongling Wang10 citations
  79. AMBRA: A Ranking Approach to Temporal Text ClassificationMarcos Zampieri, Alina Maria Ciobanu, Vlad Niculae et al.9 citations
  80. CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in TwitterSebastian Ebert, Ngoc Thang Vu, Hinrich Schütze9 citations
  81. ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response InferenceLiang Yi, JianXiang Wang, Man Lan9 citations
  82. HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity FeaturesDario Bertero, Pascale Fung9 citations
  83. Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of TweetsLi Dong, Furu Wei, Yichun Yin et al.9 citations
  84. UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STSEneko Agirre, Aitor Gonzalez-Agirre, Iñigo Lopez-Gazpio et al.9 citations
  85. USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation MetricsLiling Tan, Carolina Scarton, Lucia Specia et al.9 citations
  86. UTD: Ensemble-Based Spatial Relation ExtractionJennifer D'Souza, Vincent Ng9 citations
  87. Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance FeaturesIvan Zamanov, Marina Kraeva, Nelly Hateva et al.9 citations
  88. FBK-HLT: A New Framework for Semantic Textual SimilarityNgoc Phuoc An Vo, Simone Magnolini, Octavian Popescu8 citations
  89. INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding SubspacesRamon F. Astudillo, Silvio Amir, Wang Ling et al.8 citations
  90. KELabTeam: A Statistical Approach on Figurative Language Sentiment Analysis in TwitterHoang Long Nguyen, Trung Duc Nguyen, Dosam Hwang et al.8 citations
  91. RoseMerry: A Baseline Message-level Sentiment Classification SystemHuizhi Liang, Richard Fothergill, Timothy Baldwin8 citations
  92. SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic RegressionYousef Alhessi, Richard Wicentowski8 citations
  93. UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity SystemSakethram Karumuri, Viswanadh Kumar Reddy Vuggumudi, Sai Charan Raj Chitirala8 citations
  94. UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based Sentiment AnalysisRavikanth Repaka, Ranga Reddy Pallelra, Akshay Reddy Koppula et al.8 citations
  95. BLCUNLP: Corpus Pattern Analysis for Verbs Based on Dependency ChainYukun Feng, Qiao Deng, Dong Yu7 citations
  96. DIEGOLab: An Approach for Message-level Sentiment Classification in TwitterAbeed Sarker, Azadeh Nikfarjam, Davy Weissenbacher et al.7 citations
  97. ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015Mayte Giménez, Ferran Pla, Lluís-F. Hurtado7 citations
  98. FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question AnsweringNgoc Phuoc An Vo, Simone Magnolini, Octavian Popescu7 citations
  99. MathLingBudapest: Concept Networks for Semantic SimilarityGábor Recski, Judit Ács7 citations
  100. Sentibase: Sentiment Analysis in Twitter on a BudgetSatarupa Guha, Aditya Joshi, Vasudeva Varma7 citations

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