Bryan McCann

According to our database1, Bryan McCann authored at least 21 papers between 2017 and 2023.

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

Timeline

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Links

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Bibliography

2023
What's New? Summarizing Contributions in Scientific Literature.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
CTRLsum: Towards Generic Controllable Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
SummEval: Re-evaluating Summarization Evaluation.
Trans. Assoc. Comput. Linguistics, 2021

GeDi: Generative Discriminator Guided Sequence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Char2Subword: Extending the Subword Embedding Space from Pre-trained Models Using Robust Character Compositionality.
CoRR, 2020

ProGen: Language Modeling for Protein Generation.
CoRR, 2020

A Simple Language Model for Task-Oriented Dialogue.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evaluating the Factual Consistency of Abstractive Text Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
CTRL: A Conditional Transformer Language Model for Controllable Generation.
CoRR, 2019

XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering.
CoRR, 2019

Unifying Question Answering and Text Classification via Span Extraction.
CoRR, 2019

Neural Text Summarization: A Critical Evaluation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Explain Yourself! Leveraging Language Models for Commonsense Reasoning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

BERT is Not an Interlingua and the Bias of Tokenization.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018
The Natural Language Decathlon: Multitask Learning as Question Answering.
CoRR, 2018

2017
Revisiting Activation Regularization for Language RNNs.
CoRR, 2017

Learned in Translation: Contextualized Word Vectors.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017


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