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M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations ...
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Abstract:
Humor recognition in conversations is a challenging task that has recently gained popularity due to its importance in dialogue understanding, including in multimodal settings (i.e., text, acoustics, and visual). The few existing datasets for humor are mostly in English. However, due to the tremendous growth in multilingual content, there is a great demand to build models and systems that support multilingual information access. To this end, we propose a dataset for Multimodal Multiparty Hindi Humor (M2H2) recognition in conversations containing 6,191 utterances from 13 episodes of a very popular TV series "Shrimaan Shrimati Phir Se". Each utterance is annotated with humor/non-humor labels and encompasses acoustic, visual, and textual modalities. We propose several strong multimodal baselines and show the importance of contextual and multimodal information for humor recognition in conversations. The empirical results on M2H2 dataset demonstrate that multimodal information complements unimodal information for ... : ICMI 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2108.01260 https://dx.doi.org/10.48550/arxiv.2108.01260
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Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation ...
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SciBERT-based Multitasking Deep Neural Architecture to identify Contribution Statements from Scientific articles ...
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Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation ...
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Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation
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In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2-6 Nov 2020, Lisboa, Portugal. (2020)
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Syntax-informed interactive neural machine translation
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In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Syntax-informed interactive neural machine translation. In: The International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, UK (Online). (2020)
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Investigating Deep Learning Approaches for Hate Speech Detection in Social Media ...
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Related Tasks can Share! A Multi-task Framework for Affective language ...
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Reinforced Multi-task Approach for Multi-hop Question Generation ...
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Sentiment-Aware Recommendation System for Healthcare using Social Media ...
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Temporal orientation of tweets for predicting income of users
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In: Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Kamila, Sabyasachi, Kaur, Mandeep, Saha, Sriparna and Ekbal, Asif (2017) Temporal orientation of tweets for predicting income of users. In: 55th Annual Meeting of the Association for Computational Linguistics, 30 Jul - 4 Aug 2017, Vancouver, Canada. (2017)
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SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text ...
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The CHEMDNER corpus of chemicals and drugs and its annotation principles
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