What is Natural Language Understanding & How Does it Work? While NLU, NLP, and NLG are often used interchangeably, they are distinct technologies that serve different purposes in natural language communication. NLP focuses on processing and analyzing data to extract meaning and insights. NLU is concerned with understanding the meaning and intent behind data, while […]
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Analysis Methods in Neural Language Processing: A Survey Transactions of the Association for Computational Linguistics MIT Press
An Introduction to Natural Language Processing NLP Several datasets were constructed by modifying or extracting examples from existing datasets. For instance, Sanchez et al. (2018) and Glockner et al. (2018) extracted examples from SNLI (Bowman et al., 2015) and replaced specific words such as hypernyms, synonyms, and antonyms, followed by manual verification. Linzen et al. […]
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Major Challenges of Natural Language Processing NLP In the rest of this post, we will refer to tweets that are about disasters as “disaster”, and tweets about anything else as “irrelevant”. If you are interested in working on low-resource languages, consider attending the Deep Learning Indaba 2019, which takes place in Nairobi, Kenya from August […]
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10 Major Challenges of Using Natural Language Processing In the recent past, models dealing with Visual Commonsense Reasoning [31] and NLP have also been getting attention of the several researchers and seems a promising and challenging area to work upon. Santoro et al. [118] introduced a rational recurrent neural network with the capacity to learn […]
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