Home »
Academic Articles & Research Papers
Showing 20 of 1,033 academic articles
Zhiqiang Zeng, Hua Wang Shi, Yun Wu, Zhiling Hong • Computational and Mathematical Methods in Medicine
(2015)
Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives....
OPENALEX
cc-by
DOI: https://doi.org/10.1155/2015/674296
PMC: 4615216
Walter M. P. Daelemans, Koenraad De Smedt, Gerald J. M. Gazdar • OLAC - Open Language Archives Community
(1992)
In this introduction to the special issues, we begin by outlining a concrete example that indicates some of the motivations leading to the widespread use of inheritance networks in computational linguistics. This example allows us to illust...
OPENALEX
DOI: https://doi.org/10.5555/142235.142243
Shijie Chen, Yu Zhang, Qiang Yang • ACM Computing Surveys
(2024)
Deep learning approaches have achieved great success in the field of Natural Language Processing (NLP). However, directly training deep neural models often suffer from overfitting and data scarcity problems that are pervasive in NLP tasks. ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3663363
Julia El Zini, Mariette Awad • ACM Computing Surveys
(2022)
Despite their success, deep networks are used as black-box models with outputs that are not easily explainable during the learning and the prediction phases. This lack of interpretability is significantly limiting the adoption of such model...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3529755
Erik Cambria, Bebo White • IEEE Computational Intelligence Magazine
(2014)
Natural language processing (NLP) is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the era of punch cards and batch processing (in which t...
OPENALEX
DOI: https://doi.org/10.1109/mci.2014.2307227
Karolina Stańczak, Isabelle Augenstein • arXiv (Cornell University)
(2021)
Language can be used as a means of reproducing and enforcing harmful stereotypes and biases and has been analysed as such in numerous research. In this paper, we present a survey of 304 papers on gender bias in natural language processing. ...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.2112.14168
Zhonglin Tang, Yihui Zhao, Min Fu, Yuting Wang et al. • Ecological Indicators
(2023)
To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecolind.2023.110541
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics
(2018)
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tcbb.2018.2849968
PMC: 6388621
Silvie Válková • Linguistik Online
(2018)
With the plethora of studies on politeness in general and linguistic politeness in particular, it is difficult for those who want to apply the theoretical findings to authentic language data, to find a roadmap to theoretical framework on wh...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/lo.89.4278
Zabir Al Nazi, Wei Peng • Informatics
(2024)
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuan...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/informatics11030057
Svitlana Sokolova • Cognitive Studies | Études cognitives
(2022)
The article analyses the situational change in the language behaviour (code switching) of representatives from different regions of Ukraine based on the data of a statistically significant mass survey of the adult population of different re...
DOAJ
Open Access (DOAJ)
DOI: 10.11649/cs.2649
V. D. Melnikova, L. A. Ulianitckaia • Дискурс
(2023)
Introduction. The relevance of the study is explained by the necessity to preserve Frenchspeaking culture and language on the territory of Canada in the conditions of globalization, the spread of American mass culture and the significant im...
DOAJ
Open Access (DOAJ)
DOI: 10.32603/2412-8562-2023-9-6-143-160
Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li • ACM Transactions on Intelligent Systems and Technology
(2020)
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However, previous efforts have shown that DNNs are vulne...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3374217
Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela et al. • IEEE Access
(2024)
Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in determining the affinity of cases to select treatment paths. This feature underscores the importance of accurate classification of brain tumour...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3460380
Ray Oshikawa, Qian, Jing, William Yang Wang • arXiv (Cornell University)
(2018)
Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase in information accessibility but has also accelerated the spr...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1811.00770
Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf et al. • arXiv (Cornell University)
(2020)
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication. Recent developments in computational power and the advent of l...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.2003.01200
Bohan Li, Yutai Hou, Wanxiang Che • AI Open
(2022)
As an effective strategy, data augmentation (DA) alleviates data scarcity scenarios where deep learning techniques may fail. It is widely applied in computer vision then introduced to natural language processing and achieves improvements in...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.aiopen.2022.03.001
Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy • PeerJ Computer Science
(2022)
The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e., Facebook, Twitter, YouTube, and E-mail. ...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.830
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo et al. • Foundations and Trends® in Machine Learning
(2023)
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be bes...
OPENALEX
Open Access
DOI: https://doi.org/10.1561/2200000096
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis et al. • Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP)
(2020)
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen. Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conferenc...
OPENALEX
cc-by
DOI: https://doi.org/10.18653/v1/2020.aacl-main.46