Foundations of statistical natural language processing
https://doi.org/10.1145/601858.601867
Discover Books. Explore Knowledge.
Search and discover peer-reviewed scholarly literature, open-access articles, and research citations across DOAJ, PubMed Central, and OpenAlex.
https://doi.org/10.1145/601858.601867
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....
https://doi.org/10.1111/lnc3.12432
PMC: 9285808
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...
https://doi.org/10.18653/v1/2021.emnlp-demo.21
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 rec......
https://doi.org/10.5555/1953048.2078186
Abstract As a relatively young field of research and development that began with work on crypt‐analysis and machine translation around 50 years ago, natural language processing (NLP) is concerned with the automated processing of human langu...
https://doi.org/10.1002/9781405198431.wbeal0858
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...
https://doi.org/10.1075/nlp
Serial sources such as records, registers, and inventories are the ‘classic’ sources for quantitative history. Unstructured, narrative texts such as newspaper articles or reports were out of reach for historical analyses, both for practical...
10.21825/jeps.v4i1.10226
Driver mental fatigue is considered a major factor affecting driver behavior that may result in fatal accidents. Several approaches are addressed in the literature to detect fatigue behavior in a timely manner through either physiological o...
10.3390/safety10010009
Estimating language complexity is an important aspect of educational measurement and assessment that can be used, for instance, to control for unwanted variance due to language, or to provide students with texts that are conducive to learni...
10.7202/1095682ar
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology repo...
https://doi.org/10.1148/radiol.16142770
https://doi.org/10.1016/j.tacc.2021.02.007
information)...
https://doi.org/10.1541/ieejjournal.121.195
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural ...
https://doi.org/10.1109/rbme.2022.3210270
https://doi.org/10.1007/s11431-020-1647-3
https://doi.org/10.1007/978-3-031-02139-8
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...
https://doi.org/10.1613/jair.4992
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 ...
https://doi.org/10.48550/arxiv.1910.03771
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...
https://doi.org/10.1145/1390156.1390177
Abstract Natural language processing is a field that explores computational methods for interpreting and processing natural language, in either textual or spoken form....
https://doi.org/10.1002/0470018860.s00078