Abstract
n this paper, we give a description of the systems submitted to the three tracks of FIRE 2020 - HateSpeech and Offensive Content Identification in Indo-European Languages (HASOC), Sentiment Analy-sis of Dravidian Languages in Code-Mixed Text and Event Detection from News in Indian Languages(EDNIL). While the first two tasks were binary and multi-class text classification problems, EDNIL wasa sequence classification problem. For all the three tracks, we jointly fine-tuned mBERT, DistilBERT,RoBERTa and XLM-R using the dataset from all the languages for the given task
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Working Notes of FIRE 2020-Forum for Information Retrieval Evaluation, Hyderabad, India |
| Place of Publication | Hyderabad, India |
| Publication status | Published - 1 Dec 2020 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Kumar, Ritesh; Lahiri, Bornini; Ojha, Atul Kr. and Bansal, Akanksha