838 citations · 1.1k across the 23 of their papers we have counts for
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Hybrid MemNet for Extractive Summarization
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
Extractive text summarization has been an extensive research problem in the field of natural language understanding. While the conventional approaches rely mostly on manually compi…
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
Automated multi-document extractive text summarization is a widely studied research problem in the field of natural language understanding. Such extractive mechanisms compute in so…
Multi-label Categorization of Accounts of Sexism using a Neural Framework
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya +4
Sexism, an injustice that subjects women and girls to enormous suffering, manifests in blatant as well as subtle ways. In the wake of growing documentation of experiences of sexism…
Adapting Language Models for Non-Parallel Author-Stylized Rewriting
Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan +2
Given the recent progress in language modeling using Transformer-based neural models and an active interest in generating stylized text, we present an approach to leverage the gene…