Home »
Academic Articles & Research Papers
Showing 20 of 446 academic articles
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao et al. • Science China Technological Sciences
(2020)
OPENALEX
Open Access
DOI: https://doi.org/10.1007/s11431-020-1647-3
Nizar Y. Habash • Synthesis lectures on human language technologies
(2010)
OPENALEX
DOI: https://doi.org/10.1007/978-3-031-02139-8
Yoav Goldberg • Journal of Artificial Intelligence Research
(2016)
Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be ap...
OPENALEX
cc-by
DOI: https://doi.org/10.1613/jair.4992
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond et al. • arXiv (Cornell University)
(2019)
Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to ...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1910.03771
Ronan Collobert, Jason Weston • International Conference on Machine Learning
(2008)
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity tags, semantic roles, semantically similar words and the lik...
OPENALEX
DOI: https://doi.org/10.1145/1390156.1390177
James F. Allen • Wiley eBooks
(2005)
Abstract Natural language processing is a field that explores computational methods for interpreting and processing natural language, in either textual or spoken form....
OPENALEX
DOI: https://doi.org/10.1002/0470018860.s00078
Christopher D. Manning, Hinrich Schütze (1999)
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains al...
OPENALEX
• Psychology Press eBooks
(2014)
OPENALEX
DOI: https://doi.org/10.4324/9781315802671
Aravind K. Joshi • Science
(1991)
Natural language processing (NLP) is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These include spoken language systems that integrate speech and natural...
OPENALEX
DOI: https://doi.org/10.1126/science.253.5025.1242
Ali Farghaly, Khaled F. Shaalan • ACM Transactions on Asian Language Information Processing
(2009)
The Arabic language presents researchers and developers of natural language processing (NLP) applications for Arabic text and speech with serious challenges. The purpose of this article is to describe some of these challenges and to present...
OPENALEX
DOI: https://doi.org/10.1145/1644879.1644881
Zsófia Rakovics, Domonkos Sik, Anna Unger, Renáta Németh • Social Sciences and Humanities Open
(2026)
The parliament, as a key component of the public sphere, is both a reflection of and a stage for the post-democratic transition. Our study examines Hungarian parliamentary discourse as an indicator of a transition in which democratic instit...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ssaho.2026.103122
Saleh Rahimi, Faramarz Soheili • جامعه شناسی کاربردی
(2025)
IntroductionBibliometric analysis is widely acknowledged as a robust and systematic approach for examining extensive scholarly literature. It serves as a vital tool for mapping the landscape of contemporary research across various academic ...
DOAJ
Open Access (DOAJ)
DOI: 10.22108/jas.2025.144379.2609
Peihua Ma, Si Chen, Wenfan Su, Jiping Sheng et al. • Journal of Agriculture and Food Research
(2025)
This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jafr.2025.102086
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys
(2021)
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3444689
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
OPENALEX
cc-by
DOI: https://doi.org/10.18653/v1/n19-5004
Aditya Jain, Gandhar Kulkarni, Vraj Shah • International Journal of Computer Sciences and Engineering
(2018)
Natural language processing is widely discussed and researched topic nowadays. As it is one of the oldest area of research in machine learning it is used in major fields such as machine translation speech recognition and text processing. Na...
OPENALEX
cc-by
DOI: https://doi.org/10.26438/ijcse/v6i1.161167
Robert Dale, Hermann L. Moisl, HAROLD L. SOMERS • Computational Linguistics
(2001)
Symbolic approaches to natural language processing tokenisation and sentence segmentation lexical analysis parsing techniques semantic analysis discourse structure and intention recognition natural language generation intelligent writing as...
OPENALEX
Open Access
DOI: https://doi.org/10.1162/coli.2000.27.4.602
Salvatore Claudio Fanni, Maria Febi, Gayanè Aghakhanyan, Emanuele Neri • Imaging informatics for healthcare professionals
(2023)
OPENALEX
DOI: https://doi.org/10.1007/978-3-031-25928-9_5
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology
(2016)
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...
OPENALEX
DOI: https://doi.org/10.1001/jamaoncol.2016.0213
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
(2020)
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu...
OPENALEX
cc-by
DOI: https://doi.org/10.18653/v1/2020.emnlp-demos.6