Cross-lingual transfer of language models trained on high-resource langu...
Pre-trained language models (PLMs) have been shown effective for zero-sh...
We present Marvista – a human-AI collaborative tool that employs a suite...
Precisely assessing the progress in natural language generation (NLG) ta...
Question generation (QGen) models are often evaluated with standardized ...
Sentiment analysis is an important task in natural language processing. ...
Extracting structure information from dialogue data can help us better
u...
Factual consistency is an essential quality of text summarization models...
Query-focused summarization (QFS) aims to produce summaries that answer
...
Despite great progress in object detection, most existing methods are li...
Fact-checking is an essential tool to mitigate the spread of misinformat...
Asking good questions is an essential ability for both human and machine...
Neural abstractive summarization models are susceptible to generating
fa...
Although pre-trained language models, such as BERT, achieve state-of-art...
Existing abstractive summarization models lack explicit control mechanis...
In this paper, we aim to improve abstractive dialogue summarization qual...
This paper introduces QAConv, a new question answering (QA) dataset that...
Intent detection is one of the core components of goal-oriented dialog
s...