In this paper we summarize the results obtained so far in the communities interested in the
development of automated processing techniques as applied to business documents, and …

Context The collection of narrative spontaneous reports is an irreplaceable source for the
prompt detection of suspected adverse drug reactions (ADRs). In such task qualified domain …

Text normalization into medical dictionaries is useful to support clinical tasks. A typical
setting is pharmacovigilance (PV). The manual detection of suspected adverse drug …

The generation of medical terminologies is an important activity. A flexible and structured
terminology both helps professionals in everyday manual classification of clinical texts and …

MagiCoder is a Natural Language Processing application designed to extract MedDRA
terms from narrative clinical text. MagiCoder has been developed to support the work of …

Increased usage and under reporting of adverse drug reactions (ADRs) of opioids instigates
us to explore some other data sources like Twitter and PubMed. Our paper aims at …

Rapid and automated extraction of clinical information from patients' notes is a desirable
though difficult task. Natural language processing (NLP) and machine learning have great …

Lexical classification is one of the most widely investigated fields in (computational)
linguistic and Natural language Processing. Adjectives play a significant role both in …

In this paper we introduce a simplified approach to sentiment analysis: a lexicon-driven
method based upon only adjectives and adverbs. This method is compared in cross …

Abstract Structured Product Labels (SPLs), the package inserts that accompany drugs
governed by the Food and Drugs Administration (FDA), hold information about Adverse …