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1
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ...
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2
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ...
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3
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies ...
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4
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ...
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5
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021
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6
ParsiNLU: A Suite of Language Understanding Challenges for Persian ...
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7
Evaluating Models' Local Decision Boundaries via Contrast Sets ...
Abstract: Standard test sets for supervised learning evaluate in-distribution generalization. Unfortunately, when a dataset has systematic gaps (e.g., annotation artifacts), these evaluations are misleading: a model can learn simple decision rules that perform well on the test set but do not capture a dataset's intended capabilities. We propose a new annotation paradigm for NLP that helps to close systematic gaps in the test data. In particular, after a dataset is constructed, we recommend that the dataset authors manually perturb the test instances in small but meaningful ways that (typically) change the gold label, creating contrast sets. Contrast sets provide a local view of a model's decision boundary, which can be used to more accurately evaluate a model's true linguistic capabilities. We demonstrate the efficacy of contrast sets by creating them for 10 diverse NLP datasets (e.g., DROP reading comprehension, UD parsing, IMDb sentiment analysis). Although our contrast sets are not explicitly adversarial, model ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2004.02709
https://dx.doi.org/10.48550/arxiv.2004.02709
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8
TransOMCS: From Linguistic Graphs to Commonsense Knowledge ...
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9
Solving Hard Coreference Problems ...
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10
On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections ...
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11
Question Answering as Global Reasoning over Semantic Abstractions ...
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12
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims ...
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13
Distributed knowledge based clinical auto-coding system
Kaur, Rajvir (S33301). - : U.S., Association for Computational Linguistics, 2019
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