4 papers · 1 filter
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh +1
Online conversations have become more prevalent on public discussion platforms (e.g. Reddit). With growing controversial topics, it is desirable to summarize not only diverse argum…
QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answering
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh +1
Review-based Product Question Answering (PQA) allows e-commerce platforms to automatically address customer queries by leveraging insights from user reviews. However, existing PQA…
IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
This paper presents our proposed approach to the Discharge Me! shared task, collocated with the 23th Workshop on Biomedical Natural Language Processing (BioNLP). In this work, we d…
Prompted Aspect Key Point Analysis for Quantitative Review Summarization
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh +1
Key Point Analysis (KPA) aims for quantitative summarization that provides key points (KPs) as succinct textual summaries and quantities measuring their prevalence. KPA studies for…