3 papers
cs.CL2020
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…
cs.CV2020
Transform and Tell: Entity-Aware News Image Captioning
Alasdair Tran, Alexander Mathews, Lexing Xie
We propose an end-to-end model which generates captions for images embedded in news articles. News images present two key challenges: they rely on real-world knowledge, especially…
cs.IR2018
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…