Results 101 to 110 of about 8,325,212 (282)
Naturalness in language Naturalness in language
The argument in this paper is that there exist a very large number of well-formed sentences which do not seem natural to a sensitive native speaker; therefore these sentences must violate some restrictions which are not among the criteria for well-formedness. It is important to examine what the further restrictions might be, for at least three reasons:&
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The Natural Language Of Playlists.
[TODO] Add abstract here.
Brian McFee, Gert R. G. Lanckriet
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LLM-based multi-agent poetry generation in non-cooperative environments
Despite substantial progress in large language models (LLMs) for automatic poetry generation, LLM-generated poetry often lacks diversity, and the training process differs greatly from human learning. Under the rationale that the poetry generation systems
Ran Zhang, Steffen Eger
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Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
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Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy
ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse +13 more
wiley +1 more source
Inference for Natural Language.
The main aim of this study is to develop a natural language inference (NLI) engine that is more robust than typical systems that are based on post-Montague approaches to semantics and more accurate than the kinds of shallow approaches usually used for textual entailment, The term robustness is concerned with processing as many inputs as possible ...
Alshahrani, Amal, Ramsay, Allan
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The Natural Language of Actions
We introduce Act2Vec, a general framework for learning context-based action representation for Reinforcement Learning. Representing actions in a vector space help reinforcement learning algorithms achieve better performance by grouping similar actions and utilizing relations between different actions.
Guy Tennenholtz, Shie Mannor
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Knowledge Extraction from the Language Extended Lexicon Glossary Using Natural Language Processing
Successful software development requires good specifications, that is, correct, consistent, and unambiguous requirements. Natural language artifacts are the most used tools for writing specifications; nevertheless, the use of natural language can ...
Leandro Antonelli +2 more
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Endothelial Cell Proteins as Biomarkers in Susac Syndrome
ABSTRACT Objective Susac syndrome (SS) is a rare CD8+ T cell–mediated microangiopathy affecting the brain, retina, and auditory labyrinth. Endothelial injury is thought to be a central mechanism; however, no circulating disease biomarkers are known. We performed targeted proteomic profiling to identify circulating endothelial‐associated proteins as ...
Rohit Benjamin +11 more
wiley +1 more source
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang +13 more
wiley +1 more source

