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Filtering by: Keyword Natural Language Processing Keyword Polysemy Subject Artificial intelligence Subject Computer science

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Description:: Natural Language Processing methods have become increasingly important for a variety of high- and low-level tasks including speech recognition, question answering, and automatic language translation. The state of the art performance of these methods is continuously advancing, but reliance on labeled training data sets often creates an artificial upper bound...
Keyword:: Word Embeddings, Natural Language Processing, Polysemy, and Neural Networks
Subject:: Artificial intelligence and Computer science
Creator:: Lucas, Michael Ryan
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2017-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_677765 and http://dissertations.umi.com/northwestern:14760

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