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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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ParsiNLU: A Suite of Language Understanding Challenges for Persian ...
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7
Evaluating Models' Local Decision Boundaries via Contrast Sets ...
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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 ...
Abstract: Systems for language understanding have become remarkably strong at overcoming linguistic imperfections in tasks involving phrase matching or simple reasoning. Yet, their accuracy drops dramatically as the number of reasoning steps increases. We present the first formal framework to study such empirical observations. It allows one to quantify the amount and effect of ambiguity, redundancy, incompleteness, and inaccuracy that the use of language introduces when representing a hidden conceptual space. The idea is to consider two interrelated spaces: a conceptual meaning space that is unambiguous and complete but hidden, and a linguistic space that captures a noisy grounding of the meaning space in the words of a language---the level at which all systems, whether neural or symbolic, operate. Applying this framework to a special class of multi-hop reasoning, namely the connectivity problem in graphs of relationships between concepts, we derive rigorous intuitions and impossibility results even under this ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1901.02522
https://arxiv.org/abs/1901.02522
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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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