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This paper introduces ArtELingo, a new benchmark and dataset, designed to encourage work on diversity across languages and cultures.
Huggingface’s transformers: State-of-the-art natural language processing
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What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures
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The romance of resistance: Tracing transformations of power through bedouin women
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Long short-term memory
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Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant
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Language contact
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Psychological universals: What are they and how can we know?
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SemEval-2007 task 14: Affective text
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IEMOCAP: Interactive emotional dyadic motion capture database
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Emotion theory and research: Highlights, unanswered questions, and emerging issues
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Construction of a blog emotion corpus for Chinese emotional expression analysis
Changqin Quan and Fuji Ren. 2009 · 2009
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The weirdest people in the world?
Joseph Henrich, Steven J Heine, and Ara Norenzayan. 2010 · 2010
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Emotion cause events: Corpus construction and analysis
Sophia Yat Mei Lee, Ying Chen, Shoushan Li, and Chu-Ren Huang. 2010 · 2010
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Microsoft COCO: Common objects in context
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The culture map: Breaking through the invisible boundaries of Global Business
Erin Meyer. 2014 · 2014
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Emotion and decision making
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Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015 · 2015
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
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A bilingual attention network for code-switched emotion prediction
Zhongqing Wang, Yue Zhang, Sophia Lee, Shoushan Li, and Guodong Zhou. 2016 · 2016
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EMOTIC: Emotions in context dataset
Ronak Kosti, Jose M. Alvarez, Adria Recasens, and Agata Lapedriza. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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TeamUNCC at SemEval-2018 task 1: Emotion detection in English and Arabic tweets using deep learning
Malak Abdullah and Samira Shaikh. 2018 · 2018
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Gender shades: Intersectional accuracy disparities in commercial gender classification
GoEmotions: A dataset of fine-grained emotions
Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade, and Sujith Ravi. 2020 · 2020
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Monolingual and multilingual reduction of gender bias in contextualized representations
Sheng Liang, Philipp Dufter, and Hinrich Schütze. 2020 · 2020
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Persistent anti-muslim bias in large language models
Abubakar Abid, Maheen Farooqi, and James Zou. 2021 · 2021
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Artemis: Affective language for visual art
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, and Leonidas Guibas. 2021 · 2021
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On the dangers of stochastic parrots: Can language models be too big?
Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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Joy Buolamwini and Timnit Gebru. 2018 · 2018
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SemEval-2018 task 1: Affect in tweets
Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. 2018 · 2018
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WikiArt emotions: An annotated dataset of emotions evoked by art
Saif Mohammad and Svetlana Kiritchenko. 2018 · 2018
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CARER: Contextualized affect representations for emotion recognition
Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu, and Yi-Shin Chen. 2018 · 2018
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MES-P: an emotional tonal speech dataset in mandarin chinese with distal and proximal labels
Zhongzhe Xiao, Ying Chen, Weibei Dou, Zhi Tao, and Liming Chen. 2018 · 2018
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Mapping 24 emotions conveyed by brief human vocalization
Alan S Cowen, Hillary Anger Elfenbein, Petri Laukka, and Dacher Keltner. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al. 2021 · 2021
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What’s in your head? Emergent behaviour in multi-task transformer models
Mor Geva, Uri Katz, Aviv Ben-Arie, and Jonathan Berant. 2021 · 2021
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Gender bias hidden behind Chinese word embeddings: The case of Chinese adjectives
Meichun Jiao and Ziyang Luo. 2021 · 2021
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Visually grounded reasoning across languages and cultures
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, and Desmond Elliott. 2021 · 2021
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A survey on bias and fairness in machine learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2021 · 2021
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Affect2MM: Affective analysis of multimedia content using emotion causality
Trisha Mittal, Puneet Mathur, Aniket Bera, and Dinesh Manocha. 2021 · 2021
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Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, and Marc Najork. 2021 · 2021
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Flamingo: a visual language model for few-shot learning
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Iglue: A benchmark for transfer learning across modalities, tasks, and languages
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Visualgpt: Data-efficient adaptation of pretrained language models for image captioning
Jun Chen, Han Guo, Kai Yi, Boyang Li, and Mohamed Elhoseiny. 2022 · 2022
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Youssef Mohamed, Faizan Farooq Khan, Kilichbek Haydarov, and Mohamed Elhoseiny. 2022 · 2022
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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