Natural language processing: state of the art, current trends and challenges

D Khurana, A Koli, K Khatter, S Singh - Multimedia tools and applications, 2023 - Springer
Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

Word sense disambiguation: A survey

R Navigli - ACM computing surveys (CSUR), 2009 - dl.acm.org
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context
in a computational manner. WSD is considered an AI-complete problem, that is, a task …

The unified medical language system (UMLS): integrating biomedical terminology

O Bodenreider - Nucleic acids research, 2004 - academic.oup.com
Abstract The Unified Medical Language System (http://umlsks. nlm. nih. gov) is a repository
of biomedical vocabularies developed by the US National Library of Medicine. The UMLS …

[引用][C] The Turn: Integration of Information Seeking and Retrieval in Context

P Ingwersen - 2005 - books.google.com
The Turn analyzes the research of information seeking and retrieval (IS&R) and proposes a
new direction of integrating research in these two areas: the fields should turn off their …

[PDF][PDF] An environment for merging and testing large ontologies

DL McGuinness, R Fikes, J Rice, S Wilder - KR, 2000 - researchgate.net
Large-scale ontologies are becoming an essential component of many applications
including standard search (such as Yahoo and Lycos), ecommerce (such as Amazon and …

An upper‐level ontology for the biomedical domain

AT McCray - Comparative and Functional genomics, 2003 - Wiley Online Library
Abstract At the US National Library of Medicine we have developed the Unified Medical
Language System (UMLS), whose goal it is to provide integrated access to a large number …

Natural language processing in medicine: an overview

P Spyns - Methods of information in medicine, 1996 - thieme-connect.com
An overview is given of natural language processing applications in medicine. An attempt
has been made to enumerate the most important and known international projects and to …

[PDF][PDF] Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks.

S Paul, SK Jandhyala, T Basu - CLEF (Working notes), 2018 - ceur-ws.org
The CLEF eRisk 2018 challenge focuses on early detection of signs of depression or
anorexia using posts or comments over social media. The eRisk lab has organized two tasks …

The mantra of modeling and the forgotten powers of paper: a sociotechnical view on the development of process-oriented ICT in health care

M Berg, P Toussaint - International journal of medical informatics, 2003 - Elsevier
The recognition that restructuring care processes is central to effective and efficient health
care will result in the emergence of process-oriented electronic patient records (EPRs). How …

Classifying free-text triage chief complaints into syndromic categories with natural language processing

WW Chapman, LM Christensen, MM Wagner… - Artificial intelligence in …, 2005 - Elsevier
Objective: Develop and evaluate a natural language processing application for classifying
chief complaints into syndromic categories for syndromic surveillance. Introduction: Much of …