Samuel R. Bowman
Affiliations:- New York University, Department of Linguistics, USA
- Stanford University, Department of Linguistics (former)
According to our database1,
Samuel R. Bowman
authored at least 114 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on stanford.edu
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on nyu.edu
On csauthors.net:
Bibliography
2024
CoRR, 2024
CoRR, 2024
2023
CoRR, 2023
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CoRR, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Trans. Assoc. Comput. Linguistics, 2020
Trans. Assoc. Comput. Linguistics, 2020
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually).
CoRR, 2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
CoRR, 2020
CoRR, 2020
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually).
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data.
Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
What do you learn from context? Probing for sentence structure in contextualized word representations.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019
2018
Trans. Assoc. Comput. Linguistics, 2018
CoRR, 2018
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks.
CoRR, 2018
Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis.
CoRR, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018
2017
CoRR, 2017
The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017
2016
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
Tree-Structured Composition in Neural Networks without Tree-Structured Architectures.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015
Proceedings of the 2015 AAAI Spring Symposia, 2015
2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
2013
Proceedings of the Second International Conference on Dependency Linguistics, 2013
2012
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012
2011
Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Modeling pronunciation variation with context-dependent articulatory feature decision trees.
Proceedings of the INTERSPEECH 2010, 2010