💭 Psychology

569 papers · page 2 of 7 · 26–125 · the most cited first · all shelves

Mind and behaviour: perception, memory, learning, development, language in the mind.

📄 Papers

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26. TweetEval: Unified Benchmark and Comparative Evaluation for Tweet ClassificationFrancesco Barbieri, Jose Camacho-Collados, Leonardo Neves, et al.2020 · 952 citations
27. Robust Sentiment Detection on Twitter from Biased and Noisy DataLuciano Barbosa, Junlan Feng2010 · 952 citations
28. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsDheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.2019 · 941 citations
29. Dependency-Based Construction of Semantic Space ModelsSebastian Padó, Mirella Lapata2007 · 906 citations
30. DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in ConversationDeepanway Ghosal, Navonil Majumder, Soujanya Poria, et al.2019 · 850 citations
31. Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment AnalysisTheresa Wilson, Janyce Wiebe, Paul Hoffmann2009 · 824 citations
32. Quantifying Mental Health Signals in TwitterGlen Coppersmith, Mark Dredze, Craig Harman2014 · 821 citations
33. Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English WordsSaif Mohammad2018 · 800 citations
34. ClinicalBERT: Modeling Clinical Notes and Predicting Hospital ReadmissionKexin Huang, Jaan Altosaar, Rajesh Ranganath2019 · 788 citations
35. NRC-Canada-2014: Detecting Aspects and Sentiment in Customer ReviewsSvetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, et al.2014 · 788 citations
36. Enhanced Sentiment Learning Using Twitter Hashtags and SmileysDmitry Davidov, Oren Tsur, Ari Rappoport2010 · 776 citations
37. Sarcasm as Contrast between a Positive Sentiment and Negative SituationEllen Riloff, Ashequl Qadir, Prafulla Surve, et al.2013 · 752 citations
38. Identifying Sarcasm in Twitter: A Closer LookRoberto González-Ibáñez, Smaranda Muresan, Nina Wacholder2011 · 742 citations
39. SemEval-2014 Task 9: Sentiment Analysis in TwitterSara Rosenthal, Alan Ritter, Preslav Nakov, et al.2014 · 741 citations
40. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple SentencesDaniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.2018 · 669 citations
41. NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of TweetsSaif Mohammad, Svetlana Kiritchenko, Xiaodan Zhu2013 · 660 citations
42. Discriminating Gender on TwitterJohn D. Burger, John Henderson, George Kim, et al.2011 · 631 citations
43. Classifying Relations by Ranking with Convolutional Neural NetworksCícero dos Santos, Bing Xiang, Bowen Zhou2015 · 613 citations
44. Role-Play with Large Language ModelsMurray Shanahan, Kyle McDonell, Laria Reynolds2023 · 606 citations
45. Conversational Memory Network for Emotion Recognition in Dyadic Dialogue VideosDevamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al.2018 · 539 citations
46. ICON: Interactive Conversational Memory Network for Multimodal Emotion DetectionDevamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al.2018 · 523 citations
47. Benchmarking Aggression Identification in Social MediaRitesh Kumar, Atul Kr. Ojha, Shervin Malmasi, et al.2018 · 507 citations
48. Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 505 citations
49. SemEval-2015 Task 10: Sentiment Analysis in TwitterSara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.2015 · 490 citations
50. Multi-Prototype Vector-Space Models of Word MeaningJoseph Reisinger, Raymond J. Mooney2010 · 489 citations
51. EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural NetworksMuhammad Abdul-Mageed, Lyle Ungar2017 · 486 citations
52. Learning Multilingual Subjective Language via Cross-Lingual ProjectionsRada Mihalcea, Carmen Banea, Janyce Wiebe2007 · 482 citations
53. Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 473 citations
54. ASTD: Arabic Sentiment Tweets DatasetMahmoud Nabil, Mohamed Aly, Amir Atiya2015 · 470 citations
55. Evaluating Large Language Models in Theory of Mind TasksMichal Kosinski2023 · 465 citations
56. Distributional Semantics in TechnicolorElia Bruni, Gemma Boleda, Marco Baroni, et al.2012 · 459 citations
57. CARER: Contextualized Affect Representations for Emotion RecognitionElvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, et al.2018 · 448 citations
58. Reading Level Assessment Using Support Vector Machines and Statistical Language ModelsSarah Schwarm, Mari Ostendorf2005 · 447 citations
59. Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.Diana Maynard, Mark Greenwood2014 · 434 citations
60. CLPsych 2015 Shared Task: Depression and PTSD on TwitterGlen Coppersmith, Mark Dredze, Craig Harman, et al.2015 · 410 citations
61. SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in TextAnkush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, et al.2019 · 409 citations
62. A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health SupportAshish Sharma, Adam Miner, David Atkins, et al.2020 · 408 citations
63. Depression and Self-Harm Risk Assessment in Online ForumsAndrew Yates, Arman Cohan, Nazli Goharian2017 · 401 citations
64. URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectorsPatrick Littell, David R. Mortensen, Ke Lin, et al.2017 · 394 citations
65. Literal and Metaphorical Sense Identification through Concrete and Abstract ContextPeter Turney, Yair Neuman, Dan Assaf, et al.2011 · 394 citations
66. Towards Emotional Support Dialog SystemsSiyang Liu, Chujie Zheng, Orianna Demasi, et al.2021 · 391 citations
67. That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve TweetsWilliam Yang Wang, Diyi Yang2015 · 391 citations
68. Learning from Bullying Traces in Social MediaJun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, et al.2012 · 381 citations
69. Knowledge-Enriched Transformer for Emotion Detection in Textual ConversationsPeixiang Zhong, Di Wang, Chunyan Miao2019 · 370 citations
70. Metaphor Detection with Cross-Lingual Model TransferYulia Tsvetkov, Leonid Boytsov, Anatole Gershman, et al.2014 · 369 citations
71. WASSA-2017 Shared Task on Emotion IntensitySaif Mohammad, Felipe Bravo-Marquez2017 · 368 citations
72. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 361 citations
73. Directed Acyclic Graph Network for Conversational Emotion RecognitionWeizhou Shen, Siyue Wu, Yunyi Yang, et al.2021 · 344 citations
74. Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 319 citations
75. Correcting ESL Errors Using Phrasal SMT TechniquesChris Brockett, William B. Dolan, Michael Gamon2006 · 319 citations
76. Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
77. Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.2019 · 313 citations
78. A Lexicographer-Friendly Association ScorePavel Rychlý2008 · 312 citations
79. On Improving the Accuracy of Readability Classification using Insights from Second Language AcquisitionSowmya Vajjala, Detmar Meurers2012 · 311 citations
80. Finding Function in Form: Compositional Character Models for Open Vocabulary Word RepresentationWang Ling, Tiago Luis, Luis Marujo, et al.2015 · 301 citations
81. Predictive power of word surprisal for reading times is a linear function of language model qualityAdam Goodkind, Klinton Bicknell2018 · 294 citations
82. Black Holes and White Rabbits: Metaphor Identification with Visual FeaturesEkaterina Shutova, Douwe Kiela, Jean Maillard2016 · 292 citations
83. Emotion Intensities in TweetsSaif Mohammad, Felipe Bravo-Marquez2017 · 290 citations
84. Detecting Sarcasm in Multimodal Social PlatformsRossano Schifanella, Paloma de Juan, Joel Tetreault, et al.2016 · 289 citations
85. Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online PostingsHan-Chin Shing, Suraj Nair, Ayah Zirikly, et al.2018 · 288 citations
86. Metaphor as a Medium for Emotion: An Empirical StudySaif Mohammad, Ekaterina Shutova, Peter Turney2016 · 285 citations
87. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningWeihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 283 citations
88. Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity AnnotationSvetlana Kiritchenko, Saif Mohammad2017 · 282 citations
89. Lexical Influences on the Perception of SarcasmRoger Kreuz, Gina Caucci2007 · 278 citations
90. Similarity of Semantic RelationsPeter D. Turney2006 · 277 citations
91. SemEval-2007 Task 14: Affective TextCarlo Strapparava, Rada Mihalcea2007 · 273 citations
92. CorMet: A Computational, Corpus-Based Conventional Metaphor Extraction SystemZachary J. Mason2004 · 270 citations
93. met*: A Method for Discriminating Metonymy and Metaphor by ComputerDan Fass1991 · 269 citations
94. SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!Chhavi Sharma, Deepesh Bhageria, William Scott, et al.2020 · 260 citations
95. Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense KnowledgeTodor Mihaylov, Anette Frank2018 · 260 citations
96. The Ups and Downs of Preposition Error Detection in ESL WritingJoel R. Tetreault, Martin Chodorow2008 · 260 citations
97. Experiments on the Automatic Induction of German Semantic Verb ClassesSchulte im Walde, Sabine2006 · 259 citations
98. A Large Self-Annotated Corpus for SarcasmMikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli2018 · 258 citations
99. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential ReasoningPradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al.2019 · 256 citations
100. Metaphor Identification Using Verb and Noun ClusteringEkaterina Shutova, Lin Sun, Anna Korhonen2010 · 250 citations
101. CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit PostsAyah Zirikly, Philip Resnik, Özlem Uzuner, et al.2019 · 246 citations
102. Learning to Distinguish Hypernyms and Co-HyponymsJulie Weeds, Daoud Clarke, Jeremy Reffin, et al.2014 · 242 citations
103. Simplifying Lexical Simplification: Do We Need Simplified Corpora?Goran Glavaš, Sanja Štajner2015 · 241 citations
104. GDEX: Automatically Finding Good Dictionary Examples in a CorpusAdam Kilgarriff, Miloš Husák, Katy McAdam, et al.2008 · 238 citations
105. Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English TextBharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.2020 · 234 citations
106. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language TechnologiesSunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.2021 · 228 citations
107. Text Readability Assessment for Second Language LearnersMenglin Xia, Ekaterina Kochmar, Ted Briscoe2016 · 222 citations
108. Putting it Simply: a Context-Aware Approach to Lexical SimplificationOr Biran, Samuel Brody, Noémie Elhadad2011 · 222 citations
109. Two Contrasting Data Annotation Paradigms for Subjective NLP TasksPaul Röttger, Bertie Vidgen, Dirk Hovy, et al.2022 · 219 citations
110. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingHang Zhang, Xin Li, Lidong Bing2023 · 217 citations
111. Inclusive yet Selective: Supervised Distributional Hypernymy DetectionStephen Roller, Katrin Erk, Gemma Boleda2014 · 217 citations
112. Automatic Sarcasm Detection: A SurveyAditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 214 citations
113. Nonliteral understanding of number wordsJustine T. Kao, Jean Y. Wu, Leon Bergen, et al.2014 · 213 citations
114. MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their TargetsShraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.2021 · 212 citations
115. HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and InclusionBharathi Raja Chakravarthi2020 · 211 citations
116. SemEval-2012 Task 1: English Lexical SimplificationLucia Specia, Sujay Kumar Jauhar, Rada Mihalcea2012 · 210 citations
117. A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 EnglishRachele De Felice, Stephen G. Pulman2008 · 202 citations
118. Neural Metaphor Detection in ContextGe Gao, Eunsol Choi, Yejin Choi, et al.2018 · 198 citations
119. Learning a Lexical Simplifier Using WikipediaColby Horn, Cathryn Manduca, David Kauchak2014 · 198 citations
120. Semi-Supervised Recognition of Sarcasm in Twitter and AmazonDmitry Davidov, Oren Tsur, Ari Rappoport2010 · 198 citations
121. A General Framework for Distributional SimilarityJulie Weeds, David Weir2003 · 198 citations
122. Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation ModelsHaim Dubossarsky, Daphna Weinshall, Eitan Grossman2017 · 196 citations
123. Statistical Metaphor ProcessingEkaterina Shutova, Simone Teufel, Anna Korhonen2013 · 196 citations
124. OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplificationSowmya Vajjala, Ivana Lučić2018 · 191 citations
125. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm DetectionHongliang Pan, Zheng Lin, Peng Fu, et al.2020 · 181 citations

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