5 citations · 6 across the 4 of their papers we have counts for
4 papers
ACM -- Attribute Conditioning for Abstractive Multi Document Summarization
Aiswarya Sankar, Ankit Chadha
Abstractive multi document summarization has evolved as a task through the basic sequence to sequence approaches to transformer and graph based techniques. Each of these approaches…
Training Mixed-Domain Translation Models via Federated Learning
Peyman Passban, Tanya Roosta, Rahul Gupta +2
Training mixed-domain translation models is a complex task that demands tailored architectures and costly data preparation techniques. In this work, we leverage federated learning…
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS)
Ankit Chadha, Mohamed Masoud
We present a novel architectural scheme to tackle the abstractive summarization problem based on the CNN/DMdataset which fuses Reinforcement Learning (RL) withUniLM, which is a pre…
BERTQA -- Attention on Steroids
Ankit Chadha, Rewa Sood
In this work, we extend the Bidirectional Encoder Representations from Transformers (BERT) with an emphasis on directed coattention to obtain an improved F1 performance on the SQUA…