Results 51 to 60 of about 52,458 (341)
Connectionist natural language parsing [PDF]
, 2002 The key developments of two decades of connectionist parsing are reviewed. Connectionist parsers are assessed according to their ability to learn to represent syntactic structures from examples automatically, without being presented with symbolic grammar
Palmer-Brown, D, Tepper, JA, Powell, HM
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Disentangling Reasoning Factors for Natural Language Inference
Big Data Mining and AnalyticsNatural Language Inference (NLI) seeks to deduce the relations of two texts: a premise and a hypothesis. These two texts may share similar or different basic contexts, while three distinct reasoning factors emerge in the inference from premise to ...
Xixi Zhou +5 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
, 2007 Cimiano P, Haase P, Heizmann J. Porting Natural Language Interfaces between Domains: An Experimental User Study with the ORAKEL System. In: Chin DN, Zhou MX, Lau TA, Puerta AR, eds.
Zhou, Michelle X. +6 more
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New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
Joint inference for natural language processing [PDF]
Proceedings of the Thirteenth Conference on Computational Natural Language Learning - CoNLL '09, 2009 In recent decades, researchers in natural language processing have made great progress on well-defined subproblems such as part-of-speech tagging, phrase chunking, syntactic parsing, named-entity recognition, coreference and semantic-role labeling. Better models, features, and learning algorithms have allowed systems to perform many of these tasks with
openaire +2 more sources
CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao +7 more
wiley +1 more source
Incorporating Domain Knowledge into Natural Language Inference on Clinical Texts
IEEE Access, 2019 Making inference on clinical texts is a task which has not been fully studied. With the newly released, expert annotated MedNLI dataset, this task is being boosted. Compared with open domain data, clinical texts present unique linguistic phenomena, e.g.,
Mingming Lu +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Towards robust and generalisable natural language predicate inference [PDF]
Natural language predicate inference is an important task of natural language processing, which bears particular significance in identifying supporting material for answering questions in the open domain.
Li, Tianyi
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