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Academic Articles & Research Papers
Showing 20 of 3,028 academic articles
Jian Feng Guo, He He, Tong He, Leonard Lausen et al. • arXiv (Cornell University)
(2019)
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...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1907.04433
Fabiano Dalpiaz, Alessio Ferrari, Xavier Franch, Cristina Palomares • IEEE Software
(2018)
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 ...
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Open Access
DOI: https://doi.org/10.1109/ms.2018.3571242
Vivi Năstase, Rada F. Mihalcea, Dragomir Radev • Natural Language Engineering
(2015)
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...
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Open Access
DOI: https://doi.org/10.1017/s1351324915000340
Rohit Kumar • Apress eBooks
(2017)
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....
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DOI: https://doi.org/10.1007/978-1-4842-3069-5_5
Arvind Chandrasekaran • International Journal on Cybernetics & Informatics
(2023)
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 ...
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Open Access
DOI: https://doi.org/10.5121/ijci.2023.120205
Ehsan Fathi, Babak Maleki Shoja • Handbook of statistics
(2018)
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DOI: https://doi.org/10.1016/bs.host.2018.07.006
(2008)
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...
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DOI: https://doi.org/10.3115/1613715
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang et al. • Proceedings of the conference - Association for Computational Linguistics. Meeting
(2019)
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....
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cc-by
DOI: https://doi.org/10.18653/v1/p19-1159
Subhash C. Kak • International Journal of Approximate Reasoning
(1987)
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Open Access
DOI: https://doi.org/10.1016/0888-613x(87)90007-7
He Wang, Liu Peng, Qian Qian • Springer eBooks
(2023)
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DOI: https://doi.org/10.1007/978-981-99-3723-3_15
V Ranjit, Suchitra Naik • International Journal of Computing Algorithm
(2023)
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...
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DOI: https://doi.org/10.20894/ijcoa.101.012.002.001
Mark J. Steedman • Elsevier eBooks
(1996)
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DOI: https://doi.org/10.1016/b978-012161964-0/50010-8
Mitchell P. Marcus • Proceedings of the National Academy of Sciences
(1995)
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...
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Open Access
DOI: https://doi.org/10.1073/pnas.92.22.10052
PMC: 40734
Fredrik Olsson • KTH Publication Database DiVA (KTH Royal Institute of Technology)
(2009)
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 ...
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other-oa
Nils J. Nilsson • Cambridge University Press eBooks
(2009)
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...
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DOI: https://doi.org/10.1017/cbo9780511819346.009
Sonit Singh • arXiv (Cornell University)
(2018)
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...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1807.02383
Vasile Rus • Springer eBooks
(2013)
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DOI: https://doi.org/10.1007/978-1-4020-8265-8_1225
Qiang Yang, Yu Zhang, Wenyuan Dai, Sinno Jialin Pan • Cambridge University Press eBooks
(2020)
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DOI: https://doi.org/10.1017/9781139061773.020
Tatwadarshi P. Nagarhalli, Vinod Moreshwar Vaze, Nirav Pravinsinh Rana • International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
(2021)
The recent times have seen unprecedented growth in research and development in the field of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning and Natural Language Processing. The new found excite...
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DOI: https://doi.org/10.1109/icicv50876.2021.9388380
Kevin Crowston, Eileen E. Allen, Robert Heckman • International Journal of Social Research Methodology
(2011)
Social researchers often apply qualitative research methods to study groups and their communications artifacts. The use of computer-mediated communications has dramatically increased the volume of text available, but coding such text requir...
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DOI: https://doi.org/10.1080/13645579.2011.625764