This paper describes the models submitted by the team MUCS for “Hope Speech Detection
for Equality, Diversity, and Inclusion-EACL 2021” shared task that aims at classifying a …

We describe our system that ranked first in Hope Speech Detection (HSD) shared task and
fourth in Offensive Language Identification (OLI) shared task, both in Tamil language. The …

In recent years, several systems have been developed to regulate the spread of negativity
and eliminate aggressive, offensive or abusive contents from the online platforms …

This paper presents the participation of the IRNLP_DAIICT team from Information Retrieval
and Natural Language Processing lab at DA-IICT, India in LT-EDI@ EACL2021 Hope …

Hope speech detection is a new task for finding and highlighting positive comments or
supporting content from user-generated social media comments. For this task, we have used …

Recent work on language technology has aimed to identify negative language such as hate
speech and cyberbullying as well as improve offensive language detection to mediate social …

This paper mainly introduces the relevant content of the task “Hope Speech Detection for
Equality, Diversity, and Inclusion at LT-EDI 2021-EACL 2021”. A total of three language …

In recent times, applications have been developed to regulate and control the spread of
negativity and toxicity on online platforms. The world is filled with serious problems like …

Spreading positive vibes or hope content on social media may help many people to get
motivated in their life. To address Hope Speech detection in YouTube comments, this paper …

Our research aims to describe Natural Language Processing (NLP) tasks aimed at hope
speech detection in social media code-mixed comments. Commentaries on social media …