IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers

Adeep Hande; Bharathi Raja Chakravarthi; Karthik Puranik; Ruba Priyadharshini; Sajeetha Thavareesan

REVIEW

IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2104.09066 v1 pith:QMR66PC6 submitted 2021-04-19 cs.CL

IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers

Karthik Puranik , Adeep Hande , Ruba Priyadharshini , Sajeetha Thavareesan , Bharathi Raja Chakravarthi This is my paper

classification cs.CL

keywords speechhopeworkcontentdetectionabusivealwayschallenges

verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

0 comments

read the original abstract

In a world filled with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate speech, abusive and offensive content is the last thing we desire for. In this paper, we work to identify and promote positive and supportive content on these platforms. We work with several transformer-based models to classify social media comments as hope speech or not-hope speech in English, Malayalam and Tamil languages. This paper portrays our work for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021- EACL 2021.

IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers

discussion (0)