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 …

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 …

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 …

When develo** models for clinical information retrieval and decision support systems, the
discrete outcomes required for training are often missing. These labels need to be extracted …

Negation is a universal linguistic phenomenon with a great qualitative impact on natural
language processing applications. The availability of corpora annotated with negation is …

An important subtask in clinical text mining tries to identify whether a clinical finding is
expressed as present, absent or unsure in a text. This work presents a system for detecting …

Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …

Background: Negation and speculation are critical elements in natural language processing
(NLP)-related tasks, such as information extraction, as these phenomena change the truth …

Accurate negation identification is one of the most important tasks in the context of sentiment
analysis. In order to correctly interpret the sentiment value of a particular expression, we …

This paper presents the IULA Spanish Clinical Record Corpus, a corpus of 3,194 sentences
extracted from anonymized clinical records and manually annotated with negation markers …