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Found 12 papers, 1 papers with code
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WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories
This paper presents the results that were obtained from the WASSA 2021 shared task on predicting empathy and emotions.
WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories
This paper presents the results that were obtained from WASSA 2022 shared task on predicting empathy, emotion, and personality in reaction to news stories.
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications
Electronic health records (EHR) even though a boon for healthcare practitioners, are growing convoluted and longer every day.
Ranked #1 on
Classification
on MedSecId
Emotion Classification in Low and Moderate Resource Languages
There are 7100+ active languages spoken around the world and building emotion classification for each language is labor intensive.
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
Health insurance companies have a defined process called prior authorization (PA) which is a health plan cost-control process that requires doctors and other healthcare professionals to get clearance in advance from a health plan before performing a particular procedure on a patient in order to be eligible for payment coverage.
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations
Hence, we collected detailed characterization of the participants' traits, their self-reported empathetic response to news articles, their conversational partner other-report, and turn-by-turn third-party assessments of the level of self-disclosure, emotion, and empathy expressed.
GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus
Our aim is to build a robust emotion classifier that can generalize emotion detection, which is to learn emotion cues in a noisy training environment.
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus
In this paper we present an emotion classifier model submitted to the SemEval-2019 Task 3: EmoContext.
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).
Emotion Detection and Classification in a Multigenre Corpus with Joint Multi-Task Deep Learning
Detection and classification of emotion categories expressed by a sentence is a challenging task due to subjectivity of emotion.
Emotion Detection and Classification
General Classification
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