Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

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

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Across many fields of social science, machine learning (ML) algorithms are rapidly
advancing research as tools to support traditional hypothesis testing research (eg, through …

In the electronic health record, using clinical notes to identify entities such as disorders and
their temporality (eg the order of an event relative to a time index) can inform many important …

Background Detecting uncertain and negative assertions is essential in most BioMedical
Text Mining tasks where, in general, the aim is to derive factual knowledge from textual data …

Abstract The CoNLL-2010 Shared Task was dedicated to the detection of uncertainty cues
and their linguistic scope in natural language texts. The motivation behind this task was that …

Sentiment analysis concerns about automatically identifying sentiment or opinion expressed
in a given piece of text. Most prior work either use prior lexical knowledge defined as …

Motivation: Scholarly biomedical publications report on the findings of a research
investigation. Scientists use a well-established discourse structure to relate their work to the …

Languages are powerful solutions to coordination problems: They provide stable, shared
expectations about how the words we say correspond to the beliefs and intentions in our …