6 citations · 6 across the 3 of their papers we have counts for
5 papers · 1 filter
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu, Andrea Madotto, Chien-Sheng Wu +2
In this paper, we propose Emo2Vec which encodes emotional semantics into vectors. We train Emo2Vec by multi-task learning six different emotion-related tasks, including emotion/sen…
Finding Good Representations of Emotions for Text Classification
Ji Ho Park
It is important for machines to interpret human emotions properly for better human-machine communications, as emotion is an essential part of human-to-human communications. One asp…
Reducing Gender Bias in Abusive Language Detection
Ji Ho Park, Jamin Shin, Pascale Fung
Abusive language detection models tend to have a problem of being biased toward identity words of a certain group of people because of imbalanced training datasets. For example, "Y…
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags
Ji Ho Park, Peng Xu, Pascale Fung
This paper describes our system that has been submitted to SemEval-2018 Task 1: Affect in Tweets (AIT) to solve five subtasks. We focus on modeling both sentence and word level rep…
One-step and Two-step Classification for Abusive Language Detection on Twitter
Ji Ho Park, Pascale Fung
Automatic abusive language detection is a difficult but important task for online social media. Our research explores a two-step approach of performing classification on abusive la…