Publication2021
Hate Speech and Offensive Language Identification on Multilingual code-mixed Text using BERT
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- Ceur Workshop Proceedings
- Volume
- 3159
- Pages
- 615-624
- Published
- 1 January 2021
- Scopus ID
- 85124360194
- ISSN
- 16130073
- Authors
- 3
- Open access
- No
- Citations
- 9
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
BERT-based detection of hate speech and offensive content on social media reducing online violence
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
5 Achieve gender equality and empower all women and girls
Gender equality through content moderation addressing discriminatory language in digital spaces
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Cybersecurity and public safety through artificial intelligence detection of harmful online content
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
Evidence
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Hate Speech and Offensive Language Identification on Multilingual code-mixed Text using BERT”. Kortex.
