Search Results for author: Luna De Bruyne

Found 5 papers, 0 papers with code

Emotional RobBERT and Insensitive BERTje: Combining Transformers and Affect Lexica for Dutch Emotion Detection

no code implementations EACL (WASSA) 2021 Luna De Bruyne, Orphee De Clercq, Veronique Hoste

The models are tested on 1, 000 Dutch tweets and 1, 000 captions from TV-shows which have been manually annotated with emotion categories and dimensions.

Language Modelling Meta-Learning

An Emotional Mess! Deciding on a Framework for Building a Dutch Emotion-Annotated Corpus

no code implementations LREC 2020 Luna De Bruyne, Orphee De Clercq, Veronique Hoste

Seeing the myriad of existing emotion models, with the categorical versus dimensional opposition the most important dividing line, building an emotion-annotated corpus requires some well thought-out strategies concerning framework choice.

Joint Emotion Label Space Modelling for Affect Lexica

no code implementations20 Nov 2019 Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein

Emotion lexica are commonly used resources to combat data poverty in automatic emotion detection.

Emotion Recognition

LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets

no code implementations SEMEVAL 2018 Luna De Bruyne, Orph{\'e}e De Clercq, V{\'e}ronique Hoste

This paper presents an emotion classification system for English tweets, submitted for the SemEval shared task on Affect in Tweets, subtask 5: Detecting Emotions.

Emotion Classification Emotion Recognition +2

Cannot find the paper you are looking for? You can Submit a new open access paper.