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A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages.

, , , , and . EACL (Student Research Workshop), page 111-120. Association for Computational Linguistics, (2021)

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Neural Approaches for Data Driven Dependency Parsing in Sanskrit., , , , , and . CoRR, (2020)A Graph-Based Framework for Structured Prediction Tasks in Sanskrit., , , , and . Comput. Linguistics, 46 (4): 785-845 (2020)Fully Contextualized Biomedical NER., , , and . ECIR (2), volume 11438 of Lecture Notes in Computer Science, page 117-124. Springer, (2019)Evaluating Neural Morphological Taggers for Sanskrit., , , and . SIGMORPHON, page 198-203. Association for Computational Linguistics, (2020)Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?, , , , , , and . COLING, page 4251-4257. International Committee on Computational Linguistics, (2022)Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness., , , , and . CoRR, (2023)Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit., , , , and . EMNLP (1), page 4791-4797. Association for Computational Linguistics, (2020)IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery., , , and . EMNLP (Findings), page 14204-14216. Association for Computational Linguistics, (2023)Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems., and . RepL4NLP@ACL, page 1-12. Association for Computational Linguistics, (2023)X-Fact: A New Benchmark Dataset for Multilingual Fact Checking., and . ACL/IJCNLP (2), page 675-682. Association for Computational Linguistics, (2021)