Upendra Kumar


CVIT’s submissions to WAT-2019
Jerin Philip | Shashank Siripragada | Upendra Kumar | Vinay Namboodiri | C V Jawahar
Proceedings of the 6th Workshop on Asian Translation

This paper describes the Neural Machine Translation systems used by IIIT Hyderabad (CVIT-MT) for the translation tasks part of WAT-2019. We participated in tasks pertaining to Indian languages and submitted results for English-Hindi, Hindi-English, English-Tamil and Tamil-English language pairs. We employ Transformer architecture experimenting with multilingual models and methods for low-resource languages.


A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content
Tushar Maheshwari | Aishwarya N. Reganti | Samiksha Gupta | Anupam Jamatia | Upendra Kumar | Björn Gambäck | Amitava Das
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers

To find out how users’ social media behaviour and language are related to their ethical practices, the paper investigates applying Schwartz’ psycholinguistic model of societal sentiment to social media text. The analysis is based on corpora collected from user essays as well as social media (Facebook and Twitter). Several experiments were carried out on the corpora to classify the ethical values of users, incorporating Linguistic Inquiry Word Count analysis, n-grams, topic models, psycholinguistic lexica, speech-acts, and non-linguistic information, while applying a range of machine learners (Support Vector Machines, Logistic Regression, and Random Forests) to identify the best linguistic and non-linguistic features for automatic classification of values and ethics.


Cosmopolitan Mumbai, Orthodox Delhi, Techcity Bangalore:Understanding City Specific Societal Sentiment
Aishwarya N Reganti | Tushar Maheshwari | Upendra Kumar | Amitava Das
Proceedings of the 13th International Conference on Natural Language Processing