10 citations · 22 across the 5 of their papers we have counts for
5 papers
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization
Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu +1
Factual consistency is an essential quality of text summarization models in practical settings. Existing work in evaluating this dimension can be broadly categorized into two lines…
DialFact: A Benchmark for Fact-Checking in Dialogue
Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu +1
Fact-checking is an essential tool to mitigate the spread of misinformation and disinformation. We introduce the task of fact-checking in dialogue, which is a relatively unexplored…
MixQG: Neural Question Generation with Mixed Answer Types
Lidiya Murakhovs'ka, Chien-Sheng Wu, Philippe Laban +3
Asking good questions is an essential ability for both human and machine intelligence. However, existing neural question generation approaches mainly focus on the short factoid typ…
Controllable Abstractive Dialogue Summarization with Sketch Supervision
Chien-Sheng Wu, Linqing Liu, Wenhao Liu +2
In this paper, we aim to improve abstractive dialogue summarization quality and, at the same time, enable granularity control. Our model has two primary components and stages: 1) a…
QAConv: Question Answering on Informative Conversations
Chien-Sheng Wu, Andrea Madotto, Wenhao Liu +2
This paper introduces QAConv, a new question answering (QA) dataset that uses conversations as a knowledge source. We focus on informative conversations, including business emails,…