Author's implementation of the paper https://www.aclweb.org/anthology/2021.dravidianlangtech-1.30/
-
Updated
May 13, 2021 - Jupyter Notebook
Author's implementation of the paper https://www.aclweb.org/anthology/2021.dravidianlangtech-1.30/
Understanding the sentiment of customers from product reviews using IndicBERT
Contextualized Topic Modeling using Zero-Shot Learning on Indic Languages (IndicCTM)
Author's implementation of the paper https://www.aclweb.org/anthology/2021.ltedi-1.30/
In order to encourage constructive online debates, content control is crucial on social media sites. In this group project, participants are asked to create systems to handle offensive stretches of code-mixed social media material in Tamil.
Developed an SRL system using statistical and neural models to label semantic roles in Hindi sentences. Achieved up to 95.34% accuracy using IndicBERT and BiLSTM. Includes datasets, code, and model files.
A python package to run contextualized topic modeling for Indic Languages. indicCTMs combine contextualized embeddings (e.g., IndicBERT) with topic models to get coherent topics in Hindi, English, and Tamil.
Add a description, image, and links to the indicbert topic page so that developers can more easily learn about it.
To associate your repository with the indicbert topic, visit your repo's landing page and select "manage topics."