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Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models ...
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Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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4
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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5
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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6
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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7
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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8
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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9
Relevance-guided Supervision for OpenQA with ColBERT ...
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10
Reliable Characterizations of NLP Systems as a Social Responsibility ...
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11
DynaSent: A Dynamic Benchmark for Sentiment Analysis ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.186 Abstract: We introduce DynaSent ('Dynamic Sentiment'), a new English-language benchmark task for ternary (positive/negative/neutral) sentiment analysis. DynaSent combines naturally occurring sentences with sentences created using the open-source Dynabench Platform, which facilities human-and-model-in-the-loop dataset creation. DynaSent has a total of 121,634 sentences, each validated by five crowdworkers, and its development and test splits are designed to produce chance performance for even the best models we have been able to develop; when future models solve this task, we will use them to create DynaSent version 2, continuing the dynamic evolution of this benchmark. Here, we report on the dataset creation effort, focusing on the steps we took to increase quality and reduce artifacts. We also present evidence that DynaSent's Neutral category is more coherent than the comparable category in other benchmarks, and we motivate training models from ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/3hzt-4e47
https://underline.io/lecture/25511-dynasent-a-dynamic-benchmark-for-sentiment-analysis
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12
Keynote 3 # Speaker: Chris Potts ...
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13
A probabilistic pragmatics for English singular some
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 ...
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15
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives ...
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16
Relevance-guided Supervision for OpenQA with ColBERT ...
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17
Disrupting the Dominant Discourse: Exploring the Mentoring Experiences of Latinx Community College Students
In: Education Publications (2020)
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18
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation ...
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19
No Vacuous Quantification Constraints in Syntax
In: North East Linguistics Society (2020)
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20
Communication-based Evaluation for Natural Language Generation
In: Proceedings of the Society for Computation in Linguistics (2020)
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