Search Results for author: Tiberiu Sosea

Found 10 papers, 7 papers with code

CancerEmo: A Dataset for Fine-Grained Emotion Detection

no code implementations EMNLP 2020 Tiberiu Sosea, Cornelia Caragea

Emotions are an important element of human nature, often affecting the overall wellbeing of a person.

EnsyNet: A Dataset for Encouragement and Sympathy Detection

1 code implementation LREC 2022 Tiberiu Sosea, Cornelia Caragea

More and more people turn to Online Health Communities to seek social support during their illnesses.

Multimodal Semi-supervised Learning for Disaster Tweet Classification

1 code implementation COLING 2022 Iustin Sirbu, Tiberiu Sosea, Cornelia Caragea, Doina Caragea, Traian Rebedea

In this paper, we investigate how to leverage the copious amounts of unlabeled data generated on social media by disaster eyewitnesses and affected individuals during disaster events.

Classification

MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins

1 code implementation CVPR 2023 Tiberiu Sosea, Cornelia Caragea

We introduce MarginMatch, a new SSL approach combining consistency regularization and pseudo-labeling, with its main novelty arising from the use of unlabeled data training dynamics to measure pseudo-label quality.

Pseudo Label

Unsupervised Extractive Summarization of Emotion Triggers

1 code implementation2 Jun 2023 Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li, Cornelia Caragea

Second, we develop new unsupervised learning models that can jointly detect emotions and summarize their triggers.

Abstractive Text Summarization Extractive Summarization +1

Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts

1 code implementation22 Oct 2022 Hongli Zhan, Tiberiu Sosea, Cornelia Caragea, Junyi Jessy Li

This paper takes a novel angle, namely, emotion detection and trigger summarization, aiming to both detect perceived emotions in text, and summarize events and their appraisals that trigger each emotion.

Emotion Detection and Trigger Summarization

eMLM: A New Pre-training Objective for Emotion Related Tasks

1 code implementation ACL 2021 Tiberiu Sosea, Cornelia Caragea

BERT has been shown to be extremely effective on a wide variety of natural language processing tasks, including sentiment analysis and emotion detection.

Language Modelling Sentiment Analysis

Emotion analysis and detection during COVID-19

no code implementations LREC 2022 Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li

Crises such as natural disasters, global pandemics, and social unrest continuously threaten our world and emotionally affect millions of people worldwide in distinct ways.

Domain Adaptation Emotion Recognition

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