Emerging psychopathology studies are showing that patterns of changes in...
Automatically generated emotion arcs – that capture how an individual or...
Citing papers is the primary method through which modern scientific writ...
Recent advances in deep learning methods for natural language processing...
We present the first Africentric SemEval Shared task, Sentiment Analysis...
Given AI systems like ChatGPT can generate content that is indistinguish...
In a fair world, people have equitable opportunities to education, to co...
Automatically generated emotion arcs – that capture how an individual or...
Words play a central role in how we express ourselves. Lexicons of
word-...
This paper presents CS-Insights, an interactive web application to analy...
DBLP is the largest open-access repository of scientific articles on com...
Over the last decade, Twitter has emerged as one of the most influential...
The degree of semantic relatedness (or, closeness in meaning) of two uni...
The importance and pervasiveness of emotions in our lives makes affectiv...
Several high-profile events, such as the use of biased recidivism system...
On social media platforms, hateful and offensive language negatively imp...
Emotion dynamics is a framework for measuring how an individual's emotio...
Lexicons of word-emotion associations are widely used in research and
re...
The state of being alone can have a substantial impact on our lives, tho...
As part of the NLP Scholar project, we created a single unified dataset ...
Recent advances in machine learning have led to computer systems that ar...
Disparities in authorship and citations across gender can have substanti...
We extracted information from the ACL Anthology (AA) and Google Scholar ...
Child language studies are crucial in improving our understanding of chi...
In this paper, we describe the 2015 iteration of the SemEval shared task...
The ACL Anthology (AA) is a digital repository of tens of thousands of
a...
We introduce a dataset for studying the evolution of words, constructed ...
Past shared tasks on emotions use data with both overt expressions of
em...
Our team, NRC-Canada, participated in two shared tasks at the AMIA-2017
...
In this paper, we explore sentiment composition in phrases that have at ...
Automatic machine learning systems can inadvertently accentuate and
perp...
Negators, modals, and degree adverbs can significantly affect the sentim...
Rating scales are a widely used method for data annotation; however, the...
Access to word-sentiment associations is useful for many applications,
i...
We present the first shared task on detecting the intensity of emotion f...
This paper examines the task of detecting intensity of emotion from text...
Words often convey affect -- emotions, feelings, and attitudes. Lexicons...
We can often detect from a person's utterances whether he/she is in favo...
Inference in natural language often involves recognizing lexical entailm...