Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug
events (ADEs) with pharmaceutical products. This article is a comprehensive structured …

Existing general clinical natural language processing (NLP) systems such as MetaMap and
Clinical Text Analysis and Knowledge Extraction System have been successfully applied to …

Purpose The South London and Maudsley National Health Service (NHS) Foundation Trust
Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Despite impressive success of machine learning algorithms in clinical natural language
processing (cNLP), rule-based approaches still have a prominent role. In this paper, we …

Named-entity recognition (NER) aims at identifying entities of interest in a text. Artificial
neural networks (ANNs) have recently been shown to outperform existing NER systems …

BackgroundGrowing evidence suggests that air pollution exposure may adversely affect the
brain and increase risk for psychiatric disorders such as schizophrenia and depression …

This alphabetic guide provides definitions and discussion of key terms used in corpus
linguistics. Corpus data is being used in a growing number of English and Linguistics …

This meta-analysis investigates linguistic cues to deception and whether these cues can be
detected with computer programs. We integrated operational definitions for 79 cues from 44 …