Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …
On the linguistic representational power of neural machine translation models
Despite the recent success of deep neural networks in natural language processing and
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …
[图书][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
Background Data mining of electronic health records (EHRs) has a huge potential for
improving clinical decision support and to help healthcare deliver precision medicine …
improving clinical decision support and to help healthcare deliver precision medicine …
[HTML][HTML] DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx
Abstract In Electronic Health Records (EHRs), much of valuable information regarding
patients' conditions is embedded in free text format. Natural language processing (NLP) …
patients' conditions is embedded in free text format. Natural language processing (NLP) …
The added value of text from Dutch general practitioner notes in predictive modeling
Objective This work aims to explore the value of Dutch unstructured data, in combination
with structured data, for the development of prognostic prediction models in a general …
with structured data, for the development of prognostic prediction models in a general …
Recent advances in clinical natural language processing in support of semantic analysis
Objectives: We present a review of recent advances in clinical Natural Language Processing
(NLP), with a focus on semantic analysis and key subtasks that support such analysis …
(NLP), with a focus on semantic analysis and key subtasks that support such analysis …
SFU ReviewSP-NEG: a Spanish corpus annotated with negation for sentiment analysis. A typology of negation patterns
In this paper, we present SFU Review SP-NEG, the first Spanish corpus annotated with
negation with a wide coverage freely available. We describe the methodology applied in the …
negation with a wide coverage freely available. We describe the methodology applied in the …
Negation and speculation in NLP: a Survey, Corpora, methods, and applications
Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Corpora annotated with negation: An overview
SM Jiménez-Zafra, R Morante… - Computational …, 2020 - aclanthology.org
Negation is a universal linguistic phenomenon with a great qualitative impact on natural
language processing applications. The availability of corpora annotated with negation is …
language processing applications. The availability of corpora annotated with negation is …