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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

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...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1907.04433

Natural Language Processing for Requirements Engineering: The Best Is Yet to Come

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 ...

OPENALEX Open Access DOI: https://doi.org/10.1109/ms.2018.3571242

A survey of graphs in natural language processing

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...

OPENALEX Open Access DOI: https://doi.org/10.1017/s1351324915000340

Natural Language Processing

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....

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-3069-5_5

Natural Language Processing

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 ...

OPENALEX Open Access DOI: https://doi.org/10.5121/ijci.2023.120205

Mitigating Gender Bias in Natural Language Processing: Literature Review

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....

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/p19-1159

NATURAL LANGUAGE PROCESSING

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...

OPENALEX DOI: https://doi.org/10.20894/ijcoa.101.012.002.001

New trends in natural language processing: statistical natural language processing.

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...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.92.22.10052 PMC: 40734

Natural Language Processing

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...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511819346.009