activity
20192022
most citedWalk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts

7 citations · 18 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CL2022

On Text Style Transfer via Style Masked Language Models

Sharan Narasimhan, Pooja Shekar, Suvodip Dey +1

Text Style Transfer (TST) is performable through approaches such as latent space disentanglement, cycle-consistency losses, prototype editing etc. The prototype editing approach, w…

cs.LG2022

HyperHawkes: Hypernetwork based Neural Temporal Point Process

Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar

Temporal point process serves as an essential tool for modeling time-to-event data in continuous time space. Despite having massive amounts of event sequence data from various doma…

cs.CL2022

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances

Suvodip Dey, Ramamohan Kummara, Maunendra Sankar Desarkar

Dialogue State Tracking (DST) is primarily evaluated using Joint Goal Accuracy (JGA) defined as the fraction of turns where the ground-truth dialogue state exactly matches the pred…

cs.CL20222 cited

Meta-X: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation

Kaushal Kumar Maurya, Maunendra Sankar Desarkar

Recently, the NLP community has witnessed a rapid advancement in multilingual and cross-lingual transfer research where the supervision is transferred from high-resource languages…

cs.CL20222 cited

Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification

Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar

Online social media works as a source of various valuable and actionable information during disasters. These information might be available in multiple languages due to the nature…

cs.CL20211 cited

ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation

Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano +1

Despite the recent advancement in NLP research, cross-lingual transfer for natural language generation is relatively understudied. In this work, we transfer supervision from high r…