Natural Language Processing for Industry
https://doi.org/10.1007/s00287-018-1094-1
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https://doi.org/10.1007/s00287-018-1094-1
https://doi.org/10.1007/978-3-031-04420-5_9
We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training l...
https://doi.org/10.48550/arxiv.1907.04433
As part of the growing interest in natural language processing for requirements engineering (RE), RE researchers, computational linguists, and industry practitioners met at the First Workshop on Natural Language Processing for Requirements ...
https://doi.org/10.1109/ms.2018.3571242
Abstract Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framew...
https://doi.org/10.1017/s1351324915000340
Taking our discussion further along from Chapter 4, on machine learning basics, we will discuss here the next topic: natural language processing, or the way machines and computers process and understand natural (human) languages....
https://doi.org/10.1007/978-1-4842-3069-5_5
Hints of the outbreak are detected through the modified circumstances favoring the outbreaks, like the warm weather contributing to epidermal outbreaks or the loss of sanitation leading to cholera outbreaks typically relying on the routine ...
https://doi.org/10.5121/ijci.2023.120205
https://doi.org/10.1016/bs.host.2018.07.006
Welcome to the 2008 Conference on Empirical Methods in Natural Language Processing! The conference is organized under the auspices of SIGDAT, the ACL Special Interest Group for linguistic data and corpus-based approaches to natural language...
https://doi.org/10.3115/1613715
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019....
https://doi.org/10.18653/v1/p19-1159
https://doi.org/10.1016/0888-613x(87)90007-7
https://doi.org/10.1007/978-981-99-3723-3_15
A branch of computer science and AI called natural language processing is focused on how computers and human languages interact.In order for computers to interpret written and spoken human language without the use of computer-driven languag...
https://doi.org/10.20894/ijcoa.101.012.002.001
https://doi.org/10.1016/b978-012161964-0/50010-8
The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. R...
https://doi.org/10.1073/pnas.92.22.10052
PMC: 40734
Active learning is a supervised machine learning technique in which the learner is in control of the data used for learning. That control is utilized by the learner to ask an oracle, typically a human with extensive knowledge of the domain ...
B eyond pattern recognition of individual alphanumeric characters , whether they be of fixed font or handwritten, lies the problem of understanding strings of characters that form words, sentences, or larger assemblages of text in a “natura...
https://doi.org/10.1017/cbo9780511819346.009
With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on. Much of this data lies in unstructured form and manually managing and effectively making use of it is tedious, boring and...
https://doi.org/10.48550/arxiv.1807.02383
https://doi.org/10.1007/978-1-4020-8265-8_1225
https://doi.org/10.1017/9781139061773.020