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M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations ...
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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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Abstract:
Pre-trained language-vision models have shown remarkable performance on the visual question answering (VQA) task. However, most pre-trained models are trained by only considering monolingual learning, especially the resource-rich language like English. Training such models for multilingual setups demand high computing resources and multilingual language-vision dataset which hinders their application in practice. To alleviate these challenges, we propose a knowledge distillation approach to extend an English language-vision model (teacher) into an equally effective multilingual and code-mixed model (student). Unlike the existing knowledge distillation methods, which only use the output from the last layer of the teacher network for distillation, our student model learns and imitates the teacher from multiple intermediate layers (language and vision encoders) with appropriately designed distillation objectives for incremental knowledge extraction. We also create the large-scale multilingual and code-mixed VQA ...
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URL: https://dx.doi.org/10.48448/595n-8431 https://underline.io/lecture/38496-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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