9 citations · 9 across the 2 of their papers we have counts for
3 papers
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy
Umanga Bista, Alexander Patrick Mathews, Aditya Krishna Menon +1
Most work on multi-document summarization has focused on generic summarization of information present in each individual document set. However, the under-explored setting of update…
Comparative Document Summarisation via Classification
Umanga Bista, Alexander Mathews, Minjeong Shin +2
This paper considers extractive summarisation in a comparative setting: given two or more document groups (e.g., separated by publication time), the goal is to select a small numbe…
Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance
Aditya Mogadala, Umanga Bista, Lexing Xie +1
Images in the wild encapsulate rich knowledge about varied abstract concepts and cannot be sufficiently described with models built only using image-caption pairs containing select…