[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-2/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «An Argument for Basic Emotions» · page 2

# Who cites «An Argument for Basic Emotions» · page 2

320 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/ekman-1992-argument-basic-emotions/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-4/)

1. [GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception](https://aclanthology.org/2020.lrec-1.194/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
2. [Joint Modelling of Emotion and Abusive Language Detection](https://aclanthology.org/2020.acl-main.394/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
3. [Learning Word Ratings for Empathy and Distress from Document-Level User Responses](https://aclanthology.org/2020.lrec-1.206/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
4. [Learning and Evaluating Emotion Lexicons for 91 Languages](https://aclanthology.org/2020.acl-main.112/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
5. [Lost in Back-Translation: Emotion Preservation in Neural Machine Translation](https://aclanthology.org/2020.coling-main.384/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
6. [MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations](https://aclanthology.org/2020.coling-main.393/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
7. [Modeling Protagonist Emotions for Emotion-Aware Storytelling](https://aclanthology.org/2020.emnlp-main.426/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
8. [MultiEmotions-It: a New Dataset for Opinion Polarity and Emotion Analysis for Italian](https://aclanthology.org/2020.clicit-1.46/) *— 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)*
9. [PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry](https://aclanthology.org/2020.lrec-1.205/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
10. [PoKi: A Large Dataset of Poems by Children](https://aclanthology.org/2020.lrec-1.196/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
11. [SOLO: A Corpus of Tweets for Examining the State of Being Alone](https://aclanthology.org/2020.lrec-1.195/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
12. [Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset](https://arxiv.org/abs/2010.14794) *— 2020 · arXiv:2010.14794*
13. [Systematic Evaluation of a Framework for Unsupervised Emotion Recognition for Narrative Text](https://aclanthology.org/2020.nuse-1.4/) *— 2020 · Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events*
14. [The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse](https://aclanthology.org/2020.findings-emnlp.402/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
15. [Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection](https://aclanthology.org/2020.starsem-1.7/) *— 2020 · Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics*
16. [XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection](https://aclanthology.org/2020.coling-main.575/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
17. [A Comparison of Sense-level Sentiment Scores](https://aclanthology.org/2019.gwc-1.46/) *— 2019 · Proceedings of the 10th Global Wordnet Conference*
18. [A Social Opinion Gold Standard for the Malta Government Budget 2018](https://aclanthology.org/D19-5547/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
19. [ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT](https://aclanthology.org/S19-2006/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
20. [Automatically Identifying Complaints in Social Media](https://aclanthology.org/P19-1495/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
21. [Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis](https://aclanthology.org/W19-1304/) *— 2019 · Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
22. [Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters](https://aclanthology.org/N19-1067/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
23. [Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations](https://aclanthology.org/D19-1016/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
24. [Multimodal Transformer for Unaligned Multimodal Language Sequences](https://aclanthology.org/P19-1656/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
25. [Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset](https://aclanthology.org/P19-1534/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
26. [Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning](https://arxiv.org/abs/1909.02764) *— 2019 · arXiv:1909.02764*
27. [ntuer at SemEval-2019 Task 3: Emotion Classification with Word and Sentence Representations in RCNN](https://aclanthology.org/S19-2048/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
28. [#SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm](https://arxiv.org/abs/1806.03369) *— 2018 · arXiv:1806.03369*
29. [Aff2Vec: Affect–Enriched Distributional Word Representations](https://aclanthology.org/C18-1187/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
30. [An Analysis of Annotated Corpora for Emotion Classification in Text](https://aclanthology.org/C18-1179/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
31. [Automatic Dialogue Generation with Expressed Emotions](https://aclanthology.org/N18-2008/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
32. [CARER: Contextualized Affect Representations for Emotion Recognition](https://aclanthology.org/D18-1404/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
33. [Classifier-based Polarity Propagation in a WordNet](https://aclanthology.org/L18-1665/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
34. [Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions](https://aclanthology.org/P18-2024/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
35. [EMA at SemEval-2018 Task 1: Emotion Mining for Arabic](https://aclanthology.org/S18-1036/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
36. [EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet](https://aclanthology.org/S18-2009/) *— 2018 · Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics*
37. [Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning](https://aclanthology.org/C18-1246/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
38. [Emotion Representation Mapping for Automatic Lexicon Construction (Mostly) Performs on Human Level](https://aclanthology.org/C18-1245/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
39. [Enabling Deep Learning of Emotion With First-Person Seed Expressions](https://aclanthology.org/W18-1104/) *— 2018 · Proceedings of the Second Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media*
40. [Fine-Grained Emotion Detection in Health-Related Online Posts](https://aclanthology.org/D18-1147/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
41. [Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email](https://aclanthology.org/W18-1111/) *— 2018 · Proceedings of the Second Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media*
42. [Learning Emotion-enriched Word Representations](https://aclanthology.org/C18-1081/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
43. [Sarcasm Analysis Using Conversation Context](https://aclanthology.org/J18-4009/) *— 2018*
44. [SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets](https://aclanthology.org/S18-1002/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
45. [SemEval-2018 Task 1: Affect in Tweets](https://aclanthology.org/S18-1001/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
46. [Sentence and Clause Level Emotion Annotation, Detection, and Classification in a Multi-Genre Corpus](https://aclanthology.org/L18-1199/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
47. [Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis](https://aclanthology.org/W18-3308/) *— 2018 · Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)*
48. [Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories](https://aclanthology.org/L18-1030/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
49. [User-Level Race and Ethnicity Predictors from Twitter Text](https://aclanthology.org/C18-1130/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
50. [WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art](https://aclanthology.org/L18-1197/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
51. [Word Affect Intensities](https://aclanthology.org/L18-1027/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
52. [Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem](https://aclanthology.org/N18-1173/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
53. [Beyond Binary Labels: Political Ideology Prediction of Twitter Users](https://aclanthology.org/P17-1068/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset](https://arxiv.org/abs/1710.03957) *— 2017 · arXiv:1710.03957*
55. [EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis](https://aclanthology.org/E17-2092/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
56. [Emotion Intensities in Tweets](https://aclanthology.org/S17-1007/) *— 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)*
57. [Tensor Fusion Network for Multimodal Sentiment Analysis](https://aclanthology.org/D17-1115/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
58. [YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model](https://aclanthology.org/W17-5233/) *— 2017 · Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
59. [Building Chinese Affective Resources in Valence-Arousal Dimensions](https://aclanthology.org/N16-1066/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
60. [Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model](https://aclanthology.org/P16-2037/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
61. [Distant supervision for emotion detection using Facebook reactions](https://aclanthology.org/W16-4304/) *— 2016 · Proceedings of the Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES)*
62. [Emotion Distribution Learning from Texts](https://aclanthology.org/D16-1061/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
63. [Feelings from the Past–-Adapting Affective Lexicons for Historical Emotion Analysis](https://aclanthology.org/W16-4008/) *— 2016 · Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)*
64. [Metaphor as a Medium for Emotion: An Empirical Study](https://aclanthology.org/S16-2003/) *— 2016 · Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics*
65. [Mirroring Facial Expressions and Emotions in Dyadic Conversations](https://aclanthology.org/L16-1075/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
66. [Modelling Valence and Arousal in Facebook posts](https://aclanthology.org/W16-0404/) *— 2016 · Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
67. [Sentiment Analysis in Social Networks through Topic modeling](https://aclanthology.org/L16-1008/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
68. [A Large Wordnet-based Sentiment Lexicon for Polish](https://aclanthology.org/R15-1092/) *— 2015 · Proceedings of the International Conference Recent Advances in Natural Language Processing*
69. [Korean Twitter Emotion Classification Using Automatically Built Emotion Lexicons and Fine-Grained Features](https://aclanthology.org/Y15-2017/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation: Posters*
70. [Predicting Valence-Arousal Ratings of Words Using a Weighted Graph Method](https://aclanthology.org/P15-2129/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
71. [Acquiring a Dictionary of Emotion-Provoking Events](https://aclanthology.org/E14-4025/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers*
72. [Generating a Word-Emotion Lexicon from \#Emotional Tweets](https://aclanthology.org/S14-1002/) *— 2014 · Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)*
73. [Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases](https://aclanthology.org/D14-1127/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
74. [Semantic Role Labeling of Emotions in Tweets](https://aclanthology.org/W14-2607/) *— 2014 · Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
75. [Crowdsourcing a Word-Emotion Association Lexicon](https://arxiv.org/abs/1308.6297) *— 2013 · arXiv:1308.6297 · Computational Intelligence, 29 (3), 436-465, Wiley Blackwell Publishing Ltd, 2013*
76. [Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation](https://aclanthology.org/W13-1603/) *— 2013 · Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
77. [Sentiment Analysis in Social Media Texts](https://aclanthology.org/W13-1617/) *— 2013 · Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
78. [CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language](https://aclanthology.org/E12-1031/) *— 2012 · Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics*
79. [Portable Features for Classifying Emotional Text](https://aclanthology.org/N12-1071/) *— 2012 · Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
80. [\#Emotional Tweets](https://aclanthology.org/S12-1033/) *— 2012 · *SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)*
81. [Developing Japanese WordNet Affect for Analyzing Emotions](https://aclanthology.org/W11-1710/) *— 2011 · Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011)*
82. [Identifying Event-Sentiment Association using Lexical Equivalence and Co-reference Approaches](https://aclanthology.org/W11-0904/) *— 2011 · Proceedings of the ACL 2011 Workshop on Relational Models of Semantics*
83. [A Corpus-based Method for Extracting Paraphrases of Emotion Terms](https://aclanthology.org/W10-0205/) *— 2010 · Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text*
84. [Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon](https://aclanthology.org/W10-0204/) *— 2010 · Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text*
85. [Evaluation of Unsupervised Emotion Models to Textual Affect Recognition](https://aclanthology.org/W10-0208/) *— 2010 · Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text*
86. [Hierarchical versus Flat Classification of Emotions in Text](https://aclanthology.org/W10-0217/) *— 2010 · Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text*
87. [Labeling Emotion in Bengali Blog Corpus – A Fine Grained Tagging at Sentence Level](https://aclanthology.org/W10-3207/) *— 2010 · Proceedings of the Eighth Workshop on Asian Language Resouces*
88. [Using Roget's Thesaurus for Fine-grained Emotion Recognition](https://aclanthology.org/I08-1041/) *— 2008 · Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-I*
89. abilbekov-2024-kazemotts-dataset-kazakh-emotional-text
90. alharbi-2016-natural-language-descriptions-human-activities
91. andryushechkin-2017-nuig-emoint-2017-bilstm-svr
92. arco-2018-sinai-iest-2018-neural-encoding
93. belkhir-2023-beyond-information-is-chatgpt-empathetic
94. bois-2015-vers-une-typologie-de-liens
95. bruyne-2018-lt3-semeval-2018-task-1
96. buechel-2016-do-enterprises-have-emotions
97. buechel-2018-representation-mapping-novel-approach-generate
98. buechel-2020-learning-emotion-100-observations-unexpected
99. calvo-2026-high-accuracy-low-generalization-structural
100. canales-2016-innovative-semi-automatic-methodology-annotate

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-4/)

- [← previous Who cites «An Argument for Basic Emotions»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions/)
- [next → Who cites «An Argument for Basic Emotions» · page 3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ekman-1992-argument-basic-emotions-3/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)