Natural Language Processing in Pathology
https://doi.org/10.1016/j.ajpath.2022.07.012
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https://doi.org/10.1016/j.ajpath.2022.07.012
Despite recent advances in natural language processing, many statistical models for processing text perform extremely poorly under domain shift. Processing biomedical and clinical text is a critically important application area of natural l...
https://doi.org/10.18653/v1/w19-5034
Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general domain corpora, such as newswire and Web. A prevailing a...
https://doi.org/10.1145/3458754
https://doi.org/10.1007/978-1-4613-2533-8_7
https://doi.org/10.1007/978-0-585-35958-8_1
The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports.This inf...
https://doi.org/10.5815/ijitcs.2015.08.07
We report experiments on the use of standard natural language processing (NLP) tools for the analysis of music lyrics. A significant amount of music audio has lyrics. Lyrics encode an important part of the semantics of a song, therefore the...
https://doi.org/10.1145/1101149.1101255
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...
https://doi.org/10.1109/mci.2014.2307227
We introduce Sta n z a , an open-source Python natural language processing toolkit supporting 66 human languages.Compared to existing widely used toolkits, Sta n z a features a language-agnostic fully neural pipeline for text analysis, incl...
https://doi.org/10.18653/v1/2020.acl-demos.14
Work in computational linguistics began very soon after the development of the first computers (Booth, Brandwood and Cleave 1958), yet in the intervening four decades there has been a pervasive feeling that progress in computer understandin...
https://doi.org/10.1017/s0267190500001446
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. ...
https://doi.org/10.48550/arxiv.2112.14168
https://doi.org/10.1007/978-981-99-1999-4
article Free Access Share on Evaluating natural language processing systems Author: Margaret King Univ. of Geneva, Geneva, Switzerland Univ. of Geneva, Geneva, SwitzerlandView Profile Authors Info & Claims Communications of the ACMVolume 39...
https://doi.org/10.1145/234173.234208
Large language models (LLMs) have revolutionized various applications in natural language processing and exhibited proficiency in generating programming code. We propose a framework for evaluating the code generation ability of LLMs and int...
10.4218/etrij.2023-0357
[Objective] To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. [Methods] A multidisciplinary collaborative model...
10.13303/j.cjbt.issn.1004-549x.2025.09.019
This study explores the application of natural language processing (NLP) techniques in financial time series forecasting, specifically in predicting stock prices. Historical stock price data and textual data from financial news articles and...
10.35970/jinita.v7i1.2290
Introduction & Background Climate change represents one of the most pressing challenges of our time. Within this context, the food sector is a critical domain for intervention, accounting for approximately one-third of global greenhouse gas...
10.23889/ijpds.v10i5.3336
BackgroundHemolytic disease of the fetus and newborn (HDFN) is a rare but serious condition caused by maternal-fetal red blood cell antigen incompatibility. In an affected pregnancy, maternal immunoglobulin G antibodies cross the placenta a...
10.2196/77836
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 ...
10.1016/j.ecolind.2023.110541
The college English corpus can help us better master English, but how to obtain the desired information from a large number of English corpus has become the focus of information technology. Based on the natural language processing (NLP) tec...
10.7717/peerj-cs.1235