838 citations · 968 across the 27 of their papers we have counts for
4 papers · 1 filter
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…
What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter
Indraneil Paul, Abhinav Khattar, Shaan Chopra +2
Social network and publishing platforms, such as Twitter, support the concept of a secret proprietary verification process, for handles they deem worthy of platform-wide public int…