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1
Using Machine Learning for Pharmacovigilance: A Systematic Review
In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022)
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2
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study
In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022)
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3
Arc-Eager Construction Provides Learning Advantage Beyond Stack Management
Barnett, Phillip A. - : eScholarship, University of California, 2021
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4
Language and Reasoning by Entropy Fractals
In: Signals ; Volume 2 ; Issue 4 ; Pages 44-770 (2021)
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5
Learning meaning representations for text generation with deep generative models ...
Cao, Kris. - : Apollo - University of Cambridge Repository, 2020
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6
Modelling speaker adaptation in second language learner dialogue ...
Sinclair, Arabella Jane. - : The University of Edinburgh, 2020
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7
Towards Programming in Natural Language: Learning New Functions from Spoken Utterances ...
Weigelt, Sebastian; Steurer, Vanessa; Hey, Tobias. - : World Scientific Publishing, 2020
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8
Модели и методы анализа тональности в текстах на башкирском языке ... : Models and methods for sentiment analysis of texts in Bashkir language ...
Сулейманов, А.К.; Шарипова, М.А.; Сметанина, О.Н.. - : Воронежский институт высоких технологий, 2020
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9
Pathways to the Native Storyteller: a method to enable computational story understanding
In: College of Computing and Digital Media Dissertations (2020)
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10
Towards Programming in Natural Language: Learning New Functions from Spoken Utterances
In: International journal of semantic computing, 14 (2), 249–272 ; ISSN: 1793-351X, 1793-7108 (2020)
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11
Modelling speaker adaptation in second language learner dialogue
Sinclair, Arabella Jane. - : The University of Edinburgh, 2020
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12
Learning meaning representations for text generation with deep generative models
Cao, Kris. - : University of Cambridge, 2019. : Department of Computer Science and Technology, 2019. : Clare, 2019
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13
Learnability and Overgeneration in Computational Syntax
In: Proceedings of the Society for Computation in Linguistics (2019)
Abstract: This paper addresses the hypothesis that unnatural patterns generated by grammar formalisms can be eliminated on the grounds that they are unlearnable. I consider three examples of formal languages thought to represent dependencies unattested in natural language syntax, and show that all three can be learned by grammar induction algorithms following the Distributional Learning paradigm of Clark and Eyraud (2007). While learnable language classes are restrictive by necessity (Gold, 1967), these facts suggest that learnability alone may be insufficient for addressing concerns of overgeneration in syntax.
Keyword: computational linguistics; context-free grammars; distributional learning; formal language theory; grammatical inference; learnability; machine learning; mathematical linguistics; minimalist grammars; multiple context-free grammars; overgeneration; poverty of the stimulus; syntax
URL: https://scholarworks.umass.edu/scil/vol2/iss1/14
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1092&context=scil
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14
Neural networks for narrative continuation ...
Roemmele, Melissa Susan. - : University of Southern California Digital Library (USC.DL), 2018
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15
Describing and Classifying Post-Mortem Content on Social Media
In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 12 No. 1 (2018): Twelfth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2018)
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16
hr500k – A Reference Training Corpus of Croatian.
In: Conference papers (2018)
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17
Comparative analysis of algorithmic approaches for auto-coding with ICD-10-AM and ACHI
Kaur, Rajvir (S33301); Ginige, Jeewani A. (R12232). - : Netherlands, IOS Press, 2018
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18
Modeling common sense knowledge via scripts ... : Modellierung von Weltwissen mit Skripten ...
Modi, Ashutosh. - : Universität des Saarlandes, 2017
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19
Filtering Tweets for Social Unrest ...
Mishler, Alan; Wonus, Kevin; Chambers, Wendy. - : Digital Repository at the University of Maryland, 2017
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20
Modeling common sense knowledge via scripts ; Modellierung von Weltwissen mit Skripten
Modi, Ashutosh. - 2017
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