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Academic Articles & Research Papers
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Ehsan Fathi, Babak Maleki Shoja • Handbook of statistics
(2018)
OPENALEX
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...
OPENALEX
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....
OPENALEX
cc-by
DOI: https://doi.org/10.18653/v1/p19-1159
Subhash C. Kak • International Journal of Approximate Reasoning
(1987)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/0888-613x(87)90007-7
He Wang, Liu Peng, Qian Qian • Springer eBooks
(2023)
OPENALEX
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...
OPENALEX
DOI: https://doi.org/10.20894/ijcoa.101.012.002.001
Mark J. Steedman • Elsevier eBooks
(1996)
OPENALEX
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...
OPENALEX
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 ...
OPENALEX
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...
OPENALEX
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...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1807.02383
Vasile Rus • Springer eBooks
(2013)
OPENALEX
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)
OPENALEX
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...
OPENALEX
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...
OPENALEX
DOI: https://doi.org/10.1080/13645579.2011.625764
Imane Guellil, Houda Saâdane, Faiçal Azouaou, Billel Gueni et al. • Journal of King Saud University - Computer and Information Sciences
(2019)
Arabic is recognised as the 4th most used language of the Internet. Arabic has three main varieties: (1) classical Arabic (CA), (2) Modern Standard Arabic (MSA), (3) Arabic Dialect (AD). MSA and AD could be written either in Arabic or in Ro...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jksuci.2019.02.006
Raymond Lee • Springer eBooks
(2020)
OPENALEX
DOI: https://doi.org/10.1007/978-981-15-7695-9_6
Lourdes Agapito, Michael M. Bronstein, Carsten Rother • Lecture notes in computer science
(2015)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-16181-5
Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University)
(2016)
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During t...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1602.02830
Helmut Schmid • International Conference on Computational Linguistics
(1994)
Text corpora which are tagged with part-of-speech information are useful in many areas of linguistic research. In this paper, a new part-of-speech tagging method based on neural networks (Net- Tagger) is presented and its performance is com...
OPENALEX
Open Access
DOI: https://doi.org/10.3115/991886.991915