no code implementations • EMNLP (ALW) 2020 • Anna Koufakou, Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti
The detection of abusive or offensive remarks in social texts has received significant attention in research.
1 code implementation • 25 Oct 2023 • Anna Koufakou, Diego Grisales, Ragy Costa de jesus, Oscar Fox
Our experimental results show that using the augmented data when training the classifier model leads to significant improvements.
no code implementations • 6 Apr 2023 • Anna Koufakou
Student opinions for a course are important to educators and administrators, regardless of the type of the course or the institution.
no code implementations • 28 Feb 2023 • Anna Koufakou, Jairo Garciga, Adam Paul, Joseph Morelli, Christopher Frank
Emotion Classification based on text is a task with many applications which has received growing interest in recent years.
no code implementations • LREC 2020 • Anna Koufakou, Valerio Basile, Viviana Patti
This paper describes our participation to the TRAC-2 Shared Tasks on Aggression Identification.
no code implementations • LREC 2020 • Anna Koufakou, Jason Scott
The methods implemented and experimented with in this paper are quite different from each other, not only in the type of lexicons they use (sentiment or semantic), but also in the way they use the knowledge from the lexicons, in order to construct or to change embeddings that are ultimately fed into the learning model.
no code implementations • WS 2019 • Anna Koufakou, Jason Scott
Detecting abusive language is a significant research topic, which has received a lot of attention recently.