86 citations · 394 across the 25 of their papers we have counts for
5 papers · 1 filter
Readability Controllable Biomedical Document Summarization
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Different from general documents, it is recognised that the ease with which people can understand a biomedical text is eminently varied, owing to the highly technical nature of bio…
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization
Qianqian Xie, Jimin Huang, Tulika Saha +1
Recently, neural topic models (NTMs) have been incorporated into pre-trained language models (PLMs), to capture the global semantic information for text summarization. However, in…
Learning Disentangled Representations of Negation and Uncertainty
Jake Vasilakes, Chrysoula Zerva, Makoto Miwa +1
Negation and uncertainty modeling are long-standing tasks in natural language processing. Linguistic theory postulates that expressions of negation and uncertainty are semantically…
Transformer for Graphs: An Overview from Architecture Perspective
Erxue Min, Runfa Chen, Yatao Bian +7
Recently, Transformer model, which has achieved great success in many artificial intelligence fields, has demonstrated its great potential in modeling graph-structured data. Till n…
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
Erxue Min, Yu Rong, Tingyang Xu +6
Click-Through Rate (CTR) prediction, which aims to estimate the probability that a user will click an item, is an essential component of online advertising. Existing methods mainly…