Abhishek Sharma


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Adapting Neural Machine Translation for Automatic Post-Editing
Abhishek Sharma | Prabhakar Gupta | Anil Nelakanti
Proceedings of the Sixth Conference on Machine Translation

Automatic post-editing (APE) models are usedto correct machine translation (MT) system outputs by learning from human post-editing patterns. We present the system used in our submission to the WMT’21 Automatic Post-Editing (APE) English-German (En-De) shared task. We leverage the state-of-the-art MT system (Ng et al., 2019) for this task. For further improvements, we adapt the MT model to the task domain by using WikiMatrix (Schwenket al., 2021) followed by fine-tuning with additional APE samples from previous editions of the shared task (WMT-16,17,18) and ensembling the models. Our systems beat the baseline on TER scores on the WMT’21 test set.


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Neural Conversational QA: Learning to Reason vs Exploiting Patterns
Nikhil Verma | Abhishek Sharma | Dhiraj Madan | Danish Contractor | Harshit Kumar | Sachindra Joshi
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Neural Conversational QA tasks such as ShARC require systems to answer questions based on the contents of a given passage. On studying recent state-of-the-art models on the ShARC QA task, we found indications that the model(s) learn spurious clues/patterns in the data-set. Further, a heuristic-based program, built to exploit these patterns, had comparative performance to that of the neural models. In this paper we share our findings about the four types of patterns in the ShARC corpus and how the neural models exploit them. Motivated by the above findings, we create and share a modified data-set that has fewer spurious patterns than the original data-set, consequently allowing models to learn better.


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IIT(BHU)–IIITH at CoNLLSIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
Abhishek Sharma | Ganesh Katrapati | Dipti Misra Sharma
Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection