Predicting how a user responds to news events enables important applicat...
Opinions in the scientific domain can be divergent, leading to controver...
Existing factual consistency evaluation approaches for text summarizatio...
Considerable advancements have been made to tackle the misrepresentation...
Faithfully correcting factual errors is critical for maintaining the
int...
Recent pre-trained language models (PLMs) achieve promising results in
e...
Summarizing text-rich documents has been long studied in the literature,...
A primary objective of news articles is to establish the factual record ...
Teaching neural models to generate narrative coherent texts is a critica...
Goal-oriented generative script learning aims to generate subsequent ste...
Despite recent progress of pre-trained language models on generating flu...
Grounding a command to the visual environment is an essential ingredient...
Controllable text generation is an appealing but challenging task, which...
We study controllable text summarization which allows users to gain cont...
Dialogue summarization aims to generate a summary that indicates the key...
Select-then-compress is a popular hybrid, framework for text summarizati...
Acquiring accurate summarization and sentiment from user reviews is an
e...
Keyphrase generation (KG) aims to summarize the main ideas of a document...
Generating keyphrases that summarize the main points of a document is a
...
A huge volume of user-generated content is daily produced on social medi...
In this paper, we present a novel integrated approach for keyphrase
gene...