Vasudeva Varma

Interpretation of Semantic Tweet Representations

2017

Research in analysis of microblogging platforms is experiencing a renewed surge with a large number of works applying representation learning models for applications like sentiment analysis, semantic textual similarity computation, hashtag prediction, etc. Although the …

Extraction of Message Sequence Charts from Narrative History Text

2019

Girish Palshikar, Sachin Pawar, Sangameshwar Patil, Swapnil Hingmire, Nitin Ramrakhiyani, Harsimran Bedi, Pushpak Bhattacharyya, Vasudeva Varma. Proceedings of the First Workshop on Narrative Understanding. 2019.

iREL at SemEval-2023 Task 9: Improving understanding of multilingual Tweets using Translation-Based Augmentation and Domain Adapted Pre-Trained Models

2023

This paper describes our system (iREL) for Tweet intimacy analysis sharedtask of the SemEval 2023 workshop at ACL 2023. Oursystem achieved an overall Pearson’s r score of 0.5924 and ranked 10th on the overall leaderboard. …

Generative Models For Indic Languages: Evaluating Content Generation Capabilities

2023

Large language models (LLMs) and generative AI have emerged as the most important areas in the field of natural language processing (NLP).LLMs are considered to be a key component in several NLP tasks, such as …

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

2016 · International Conference on Computational Linguistics

Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. Advances in this area are impeded by the lack …