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The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (4)
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Hits 1 – 20 of 82
1
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models ...
Wu, Zhengxuan
;
Liu, Nelson F.
;
Potts, Christopher
. - : arXiv, 2021
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2
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ...
Rozner, Joshua
;
Potts, Christopher
;
Mahowald, Kyle
. - : arXiv, 2021
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3
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
Rozner, Joshua
;
Potts, Christopher
;
Mahowald, Kyle
. - : Dryad, 2021
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4
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
Rozner, Joshua
;
Potts, Christopher
;
Mahowald, Kyle
. - : Zenodo, 2021
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5
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
Rozner, Joshua
;
Potts, Christopher
;
Mahowald, Kyle
. - : Zenodo, 2021
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6
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
Rozner, Joshua
;
Potts, Christopher
;
Mahowald, Kyle
. - : Zenodo, 2021
BASE
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7
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
Rozner, Joshua
;
Potts, Christopher
;
Mahowald, Kyle
. - : Zenodo, 2021
BASE
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8
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
Rozner, Joshua
;
Potts, Christopher
;
Mahowald, Kyle
. - : Zenodo, 2021
BASE
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9
Relevance-guided Supervision for OpenQA with ColBERT ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Khattab, Omar
;
Potts, Christopher
;
Zaharia, Matei
. - : Underline Science Inc., 2021
Abstract:
Abstract: Systems for Open-Domain Question Answering (OpenQA) generally depend on a retriever for finding candidate passages in a large corpus and a reader for extracting answers from those passages. In much recent work, the retriever is a learned component that uses coarse-grained vector representations of questions and passages. We argue that this modeling choice is insufficiently expressive for dealing with the complexity of natural language questions. To address this, we define ColBERT-QA, which adapts the scalable neural retrieval model ColBERT to OpenQA. ColBERT creates fine-grained interactions between questions and passages. We propose an efficient weak supervision strategy that iteratively uses ColBERT to create its own training data. This greatly improves OpenQA retrieval on Natural Questions, SQuAD, and TriviaQA, and the resulting system attains state-of-the-art extractive OpenQA performance on all three datasets. ...
URL:
https://underline.io/lecture/25679-relevance-guided-supervision-for-openqa-with-colbert-
https://dx.doi.org/10.48448/t6rw-tr61
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10
Reliable Characterizations of NLP Systems as a Social Responsibility ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Potts, Christopher
. - : Underline Science Inc., 2021
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11
DynaSent: A Dynamic Benchmark for Sentiment Analysis ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Geiger, Atticus
;
Kiela, Douwe
. - : Underline Science Inc., 2021
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12
Keynote 3 # Speaker: Chris Potts ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Potts, Christopher
. - : Underline Science Inc., 2021
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13
A probabilistic pragmatics for English singular some
Esposito, Lewis
;
Potts, Christopher
In: Semantics and Linguistic Theory; Proceedings of SALT 30; 22-42 ; 2163-5951 (2021)
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14
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents ...
Todd, Graham
;
Steinert-Threlkeld, Shane
;
Potts, Christopher
. - : arXiv, 2020
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15
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives ...
Kreiss, Elisa
;
Wang, Zijian
;
Potts, Christopher
. - : arXiv, 2020
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16
Relevance-guided Supervision for OpenQA with ColBERT ...
Khattab, Omar
;
Potts, Christopher
;
Zaharia, Matei
. - : arXiv, 2020
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17
Disrupting the Dominant Discourse: Exploring the Mentoring Experiences of Latinx Community College Students
Crisp, Gloria
;
Doran, Erin
;
Carales, Vincent D.
...
In: Education Publications (2020)
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18
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation ...
Geiger, Atticus
;
Richardson, Kyle
;
Potts, Christopher
. - : arXiv, 2020
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19
No Vacuous Quantification Constraints in Syntax
Potts, Christopher
In: North East Linguistics Society (2020)
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20
Communication-based Evaluation for Natural Language Generation
Newman, Benjamin
;
Cohn-Gordon, Reuben
;
Potts, Christopher
In: Proceedings of the Society for Computation in Linguistics (2020)
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