Shamil Chollampatt

According to our database1, Shamil Chollampatt authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2020
Can Automatic Post-Editing Improve NMT?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Lexically Constrained Neural Machine Translation with Levenshtein Transformer.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Cross-Sentence Grammatical Error Correction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Neural Quality Estimation of Grammatical Error Correction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Reassessment of Reference-Based Grammatical Error Correction Metrics.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Connecting the Dots: Towards Human-Level Grammatical Error Correction.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

2016
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Neural Network Translation Models for Grammatical Error Correction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016


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