---
title: "Who cites An Argument for Basic Emotions — page 3"
description: "The papers of the Elamur Research library that cite «An Argument for Basic Emotions», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/ekman-1992-argument-basic-emotions/cited-by/page/3/"
---
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# Who cites «An Argument for Basic Emotions» · page 3

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

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

1. [Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations](https://aclanthology.org/2020.peoples-1.13/) *— 2020 · Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media*
2. [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*
3. [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*
4. [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*
5. [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*
6. [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)*
7. [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)*
8. [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*
9. [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*
10. [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*
11. [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*
12. [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*
13. [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*
14. [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*
15. [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*
16. [A Comparison of Sense-level Sentiment Scores](https://aclanthology.org/2019.gwc-1.46/) *— 2019 · Proceedings of the 10th Global Wordnet Conference*
17. [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)*
18. [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*
19. [Automatically Identifying Complaints in Social Media](https://aclanthology.org/P19-1495/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
20. [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*
21. [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)*
22. [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)*
23. [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*
24. [Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embeddings](https://aclanthology.org/2019.gwc-1.43/) *— 2019 · Proceedings of the 10th Global Wordnet Conference*
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. [ASR-based Features for Emotion Recognition: A Transfer Learning Approach](https://aclanthology.org/W18-3307/) *— 2018 · Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)*
30. [Aff2Vec: Affect–Enriched Distributional Word Representations](https://aclanthology.org/C18-1187/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
31. [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*
32. [Arabic Data Science Toolkit: An API for Arabic Language Feature Extraction](https://aclanthology.org/L18-1198/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
33. [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)*
34. [BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification](https://aclanthology.org/W18-6235/) *— 2018 · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
35. [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*
36. [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)*
37. [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)*
38. [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*
39. [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*
40. [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*
41. [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*
42. [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*
43. [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*
44. [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*
45. [HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition](https://aclanthology.org/W18-6225/) *— 2018 · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
46. [JFCKB: Japanese Feature Change Knowledge Base](https://aclanthology.org/L18-1223/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
47. [LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets](https://aclanthology.org/S18-1016/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
48. [Learning Emotion-enriched Word Representations](https://aclanthology.org/C18-1081/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
49. [Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis](https://aclanthology.org/W18-6214/) *— 2018 · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
50. [Polarity and Intensity: the Two Aspects of Sentiment Analysis](https://aclanthology.org/W18-3306/) *— 2018 · Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)*
51. [Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons](https://aclanthology.org/L18-1028/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
52. [SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification](https://aclanthology.org/W18-6227/) *— 2018 · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
53. [Sarcasm Analysis Using Conversation Context](https://aclanthology.org/J18-4009/) *— 2018*
54. [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*
55. [SemEval-2018 Task 1: Affect in Tweets](https://aclanthology.org/S18-1001/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
56. [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)*
57. [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)*
58. [Towards Emotive Annotation in plWordNet 4.0](https://aclanthology.org/2018.gwc-1.18/) *— 2018 · Proceedings of the 9th Global Wordnet Conference*
59. [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)*
60. [User-Level Race and Ethnicity Predictors from Twitter Text](https://aclanthology.org/C18-1130/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
61. [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)*
62. [Word Affect Intensities](https://aclanthology.org/L18-1027/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
63. [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)*
64. [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)*
65. [DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset](https://arxiv.org/abs/1710.03957) *— 2017 · arXiv:1710.03957*
66. [Emerging Sentiment Language Model for Emotion Detection](https://aclanthology.org/2017.clicit-1.34/) *— 2017 · Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017)*
67. [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*
68. [Emotion Intensities in Tweets](https://aclanthology.org/S17-1007/) *— 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)*
69. [LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine Learning](https://aclanthology.org/I17-4013/) *— 2017 · Proceedings of the IJCNLP 2017, Shared Tasks*
70. [NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity](https://aclanthology.org/W17-5223/) *— 2017 · Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
71. [PLN-PUCRS at EmoInt-2017: Psycholinguistic features for emotion intensity prediction in tweets](https://aclanthology.org/W17-5225/) *— 2017 · Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
72. [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*
73. [Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments](https://aclanthology.org/W17-4501/) *— 2017 · Proceedings of the Workshop on New Frontiers in Summarization*
74. [YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter](https://aclanthology.org/S17-2119/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
75. [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*
76. [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*
77. [Constructing a Dictionary Describing Feature Changes of Arguments in Event Sentences](https://aclanthology.org/W16-1006/) *— 2016 · Proceedings of the Fourth Workshop on Events*
78. [Construire un lexique de sentiments par crowdsourcing et propagation (Building a sentiment lexicon through crowdsourcing and spreading)](https://aclanthology.org/2016.jeptalnrecital-long.4/) *— 2016 · Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Articles longs)*
79. [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)*
80. [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)*
81. [Do Enterprises Have Emotions?](https://aclanthology.org/W16-0423/) *— 2016 · Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
82. [Emotion Distribution Learning from Texts](https://aclanthology.org/D16-1061/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
83. [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)*
84. [Innovative Semi-Automatic Methodology to Annotate Emotional Corpora](https://aclanthology.org/W16-4310/) *— 2016 · Proceedings of the Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES)*
85. [Integration of Lexical and Semantic Knowledge for Sentiment Analysis in SMS](https://aclanthology.org/L16-1188/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
86. [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*
87. [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)*
88. [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*
89. [Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis](https://aclanthology.org/W16-3205/) *— 2016 · Proceedings of the 5th Workshop on Vision and Language*
90. [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)*
91. [YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network](https://aclanthology.org/S16-1039/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
92. [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*
93. [Anotando um Corpus de Notícias para a Análise de Sentimentos: um Relato de Experiência (Annotating a corpus of News for Sentiment Analysis: An Experience Report)](https://aclanthology.org/W15-5616/) *— 2015 · Proceedings of the 10th Brazilian Symposium in Information and Human Language Technology*
94. [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*
95. [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)*
96. [Vers une typologie de liens entre contenus journalistiques](https://aclanthology.org/2015.jeptalnrecital-court.30/) *— 2015 · Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles. Articles courts*
97. [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*
98. [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)*
99. [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)*
100. [Segment-based Fine-grained Emotion Detection for Chinese Text](https://aclanthology.org/W14-6809/) *— 2014 · Proceedings of the Third CIPS-SIGHAN Joint Conference on Chinese Language Processing*

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