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 …
[PDF][PDF] Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach
Detecting negation and uncertainty is crucial for medical text mining applications; otherwise,
extracted information can be incorrectly identified as real or factual events. Although several …
extracted information can be incorrectly identified as real or factual events. Although several …
Exploring the latest highlights in medical natural language processing across multiple languages: A survey
Objectives: This survey aims to provide an overview of the current state of biomedical and
clinical Natural Language Processing (NLP) research and practice in Languages other than …
clinical Natural Language Processing (NLP) research and practice in Languages other than …
[HTML][HTML] Negation and speculation processing: A study on cue-scope labelling and assertion classification in Spanish clinical text
Abstract Natural Language Processing (NLP) based on new deep learning technology is
contributing to the emergence of powerful solutions that help healthcare providers and …
contributing to the emergence of powerful solutions that help healthcare providers and …
[HTML][HTML] Creating an ignorance-base: Exploring known unknowns in the scientific literature
MR Boguslav, NM Salem, EK White, KJ Sullivan… - Journal of biomedical …, 2023 - Elsevier
Background: Scientific discovery progresses by exploring new and uncharted territory. More
specifically, it advances by a process of transforming unknown unknowns first into known …
specifically, it advances by a process of transforming unknown unknowns first into known …
CAS: corpus of clinical cases in French
Background Textual corpora are extremely important for various NLP applications as they
provide information necessary for creating, setting and testing those applications and the …
provide information necessary for creating, setting and testing those applications and the …
Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish
A Shaitarova, F Rinaldi - 2021 - zora.uzh.ch
Negation is a linguistic universal that poses difficulties for cognitive and computational
processing. Despite many advances in text analytics, negation resolution remains an acute …
processing. Despite many advances in text analytics, negation resolution remains an acute …
Increasing adverse drug events extraction robustness on social media: Case study on negation and speculation
In the last decade, an increasing number of users have started reporting adverse drug
events (ADEs) on social media platforms, blogs, and health forums. Given the large volume …
events (ADEs) on social media platforms, blogs, and health forums. Given the large volume …
NADE: a benchmark for robust adverse drug events extraction in face of negations
Adverse Drug Event (ADE) extraction models can rapidly examine large collections of social
media texts, detecting mentions of drug-related adverse reactions and trigger medical …
media texts, detecting mentions of drug-related adverse reactions and trigger medical …
Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical …
T Petit-Jean, C Gérardin, E Berthelot… - Journal of the …, 2024 - academic.oup.com
Objective To develop and validate a natural language processing (NLP) pipeline that
detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson …
detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson …