Kaushal Kumar Maurya
Orcid: 0000-0003-0249-6508
According to our database1,
Kaushal Kumar Maurya
authored at least 17 papers
between 2020 and 2024.
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Bibliography
2024
CoRR, 2024
DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes.
Data Min. Knowl. Discov., November, 2023
Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages.
CoRR, 2023
SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022
Meta-X<sub>NLG</sub>: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
A neural approach for detecting inline mathematical expressions from scientific documents.
Expert Syst. J. Knowl. Eng., 2021
CoRR, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021
2020
Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020