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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer ... Sengupta, Ayan; Suresh, Tharun; Akhtar, Md Shad. - : arXiv, 2022 BASE Show details 2 HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Akhtar, Md Shad; Bhattacharjee, Sourabh. - : Underline Science Inc., 2021 BASE Show details 3 HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ... Sengupta, Ayan; Bhattacharjee, Sourabh Kumar; Chakraborty, Tanmoy; Akhtar, Md Shad. - : arXiv, 2021 Abstract: Understanding linguistics and morphology of resource-scarce code-mixed texts remains a key challenge in text processing. Although word embedding comes in handy to support downstream tasks for low-resource languages, there are plenty of scopes in improving the quality of language representation particularly for code-mixed languages. In this paper, we propose HIT, a robust representation learning method for code-mixed texts. HIT is a hierarchical transformer-based framework that captures the semantic relationship among words and hierarchically learns the sentence-level semantics using a fused attention mechanism. HIT incorporates two attention modules, a multi-headed self-attention and an outer product attention module, and computes their weighted sum to obtain the attention weights. Our evaluation of HIT on one European (Spanish) and five Indic (Hindi, Bengali, Tamil, Telugu, and Malayalam) languages across four NLP tasks on eleven datasets suggests significant performance improvement against various ... : 15 pages, 13 tables, 6 Figures. Accepted at ACL-IJCNLP-2021 (Findings) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2105.14600 https://dx.doi.org/10.48550/arxiv.2105.14600 BASE Hide details 4 Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation ... Desai, Poorav; Chakraborty, Tanmoy; Akhtar, Md Shad. - : arXiv, 2021 BASE Show details 5 Detecting Harmful Memes and Their Targets ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Akhtar, Md Shad; Charaborty, Tanmoy. - : Underline Science Inc., 2021 BASE Show details 6 LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content ... Gupta, Shreya; Singh, Parantak; Sundriyal, Megha. - : arXiv, 2021 BASE Show details 7 DESYR: Definition and Syntactic Representation Based Claim Detection on the Web ... Sundriyal, Megha; Singh, Parantak; Akhtar, Md Shad. - : arXiv, 2021 BASE Show details 8 Related Tasks can Share! A Multi-task Framework for Affective language ... Deep, Kumar Shikhar; Akhtar, Md Shad; Ekbal, Asif. - : arXiv, 2020 BASE Show details

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