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CLASP Papers in Computational Linguistics


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Title: CLASP Papers in Computational Linguistics
Other Titles: Proceedings of the Conference on Logic and Machine Learning in Natural Language (LaML 2017), Gothenburg, 12–13 June 2017
Editors: Simon, Dobnik
Shalom, Lappin
Issue Date: Nov-2017
Extent: 113
ISSN: 2002-9764
Publication type: article, peer reviewed scientific
Publisher: Centre for Linguistic Theory and Studies in Probability (CLASP)
Organization: Department of Philosophy, Linguistics and Theory of Science (FLOV)
University of Gothenburg
Series/Report no.: 1
Keywords: language
logic
machine learning
deep learning
neural networks
computational linguistics
language technology
artificial intelligence
Abstract: The past two decades have seen impressive progress in a variety of areas of AI, particularly NLP, through the application of machine learning methods to a wide range of tasks. With the intensive use of deep learning methods in recent years this work has produced significant improvements in the coverage and accuracy of NLP systems in such domains as speech recognition, topic identification, semantic interpretation, and image description generation. While deep learning is opening up exciting new a... more
URI: http://hdl.handle.net/2077/54911
Appears in Collections:CLASP Papers in Computational Linguistics

 

 

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