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Datasets: A Community Library for Natural Language Processing

Quentin Lhoest, A. Villanova del Moral, Yacine Jernite, Abhishek Thakur et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) (2021)

Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Bra...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2021.emnlp-demo.21

Natural Language Processing

Abhimanyu Chopra, Abhinav Prashar, Chandresh Sain • Natural language processing (2013)

ABSTRACT: Language is way of communicating your words Language helps in understanding the world,we get a better insight of the world. Language helps speakers to be as vague or as precise as they like. NLP Stands for natural language process...

OPENALEX DOI: https://doi.org/10.1075/nlp

Natural Language Processing

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

Arabic Natural Language Processing

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

Natural Language Processing for Requirements Engineering

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

Handbook of Natural Language Processing

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

Natural Language Processing in Oncology

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

Transformers: State-of-the-Art Natural Language Processing

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

Attention in Natural Language Processing

Andrea Galassi, Marco Lippi, Paolo Torroni • IEEE Transactions on Neural Networks and Learning Systems (2020)

Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview o...

OPENALEX cc-by DOI: https://doi.org/10.1109/tnnls.2020.3019893

Natural language processing

Gobinda G Chowdhury • Annual Review of Information Science and Technology (2003)

Previous ARIST chapters (Haas, 1996;Warner, 1987) described a number of theoretical developments that have influenced research in NLP.The most recent theoretical developments can be grouped into four classes: (i) statistical and corpus-base...

OPENALEX Open Access DOI: https://doi.org/10.1002/aris.1440370103

Advances in natural language processing

Julia Hirschberg, Christopher D. Manning • Science (2015)

Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the lin...

OPENALEX DOI: https://doi.org/10.1126/science.aaa8685

Natural language processing: an introduction

Prakash M. Nadkarni, Lucila Ohno-machado A, Wendy W. Chapman • Journal of the American Medical Informatics Association (2011)

OBJECTIVES: To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. TARGET AUDIENCE: This tutorial targets the medical informatics generalist who has limited acquaintance with the principles be...

OPENALEX Open Access DOI: https://doi.org/10.1136/amiajnl-2011-000464 PMC: 3168328

Handbook of Natural Language Processing

Nitin Indurkhya, Fred J. Damerau • Chapman & Hall/CRC eBooks (2010)

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter ...

OPENALEX DOI: https://doi.org/10.1201/9781420085938