3 citations · 4 across the 5 of their papers we have counts for
5 papers
Does Pretraining for Summarization Require Knowledge Transfer?
Kundan Krishna, Jeffrey Bigham, Zachary C. Lipton
Pretraining techniques leveraging enormous datasets have driven recent advances in text summarization. While folk explanations suggest that knowledge transfer accounts for pretrain…
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances
Kundan Krishna, Amy Pavel, Benjamin Schloss +2
Despite diverse efforts to mine various modalities of medical data, the conversations between physicians and patients at the time of care remain an untapped source of insights. In…
Reinforced Rewards Framework for Text Style Transfer
Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan +1
Style transfer deals with the algorithms to transfer the stylistic properties of a piece of text into that of another while ensuring that the core content is preserved. There has b…
Improving generation quality of pointer networks via guided attention
Kushal Chawla, Kundan Krishna, Balaji Vasan Srinivasan
Pointer generator networks have been used successfully for abstractive summarization. Along with the capability to generate novel words, it also allows the model to copy from the i…
Normality of the Ehrenfeucht-Mycielski Sequence
Kundan Krishna, Satyadev Nandakumar
We study the binary Ehrenfeucht Mycielski sequence seeking a balance between the number of occurrences of different binary strings. There have been numerous attempts to prove the b…