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Introduction to Natural Language Processing

Anamarija Ami Podrebarac • Routledge eBooks (2019)

My daily routine starts with loud knocking on my door. I hear my grandmother giving me a couple of minutes notice to get ready and start my daily chores. It is 8 a.m. and we are having breakfast and drinking black coffee. Every day we sit i...

OPENALEX DOI: https://doi.org/10.4324/9781351027946-15

An Introduction to Natural Language Processing

Amir A. Kimia, Guergana Savova, Assaf Landschaft, Marvin B. Harper • Pediatric Emergency Care (2015)

Electronically stored clinical documents may contain both structured data and unstructured data. The use of structured clinical data varies by facility, but clinicians are familiar with coded data such as International Classification of Dis...

OPENALEX DOI: https://doi.org/10.1097/pec.0000000000000484

Graph Neural Networks for Natural Language Processing: A Survey

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

Cracking the code: AI’s role in mapping evidence syntheses to the United Nations sustainable development goals

Bianca Pilla, Jennifer Stone, Zoe Jordan • Archives of Public Health (2025)

Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13690-025-01784-0

Valorisation of agri-food by-products into bioactive compounds: Green extraction, microbial biotransformation and circular biorefinery strategies

Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research (2026)

Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102511

Natural Language Processing (almost) from Scratch

Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen et al. • arXiv (Cornell University) (2011)

We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunking, named entity recognition, and semantic role labeling. This...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1103.0398

Five sources of bias in natural language processing

Dirk Hovy, Shrimai Prabhumoye • Language and Linguistics Compass (2021)

Recently, there has been an increased interest in demographically grounded bias in natural language processing (NLP) applications. Much of the recent work has focused on describing bias and providing an overview of bias in a larger context....

OPENALEX cc-by-nc DOI: https://doi.org/10.1111/lnc3.12432 PMC: 9285808

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