With the rapid growth of the construction industry and urbanization, the construction and
demolition waste (CDW) has constituted the most major solid waste flow in the world. The …

Keyphrase extraction is a textual information processing task concerned with the automatic
extraction of representative and characteristic phrases from a document that express all the …

As the amount of generated information grows, reading and summarizing texts of large
collections turns into a challenging task. Many documents do not come with descriptive …

Recent years have witnessed a proliferation of valuable original natural language contents
found in subscription-based media outlets, web novel platforms, and outputs of large …

Recent work in training large language models (LLMs) to follow natural language
instructions has opened up exciting opportunities for natural language interface design …

We introduce a FEVER-like dataset COVID-Fact of $4,086 $ claims concerning the COVID-
19 pandemic. The dataset contains claims, evidence for the claims, and contradictory claims …

In the age of social media, faced with a huge amount of knowledge and information,
accurate and effective keyphrase extraction methods are needed to be applied in …

Large-scale pre-trained language models, such as BERT and GPT-2, have achieved
excellent performance in language representation learning and free-form text generation …

In our study, we examine the impact of citation network structures on the ability to discern
valuable research topics in Computer Science literature. We use the bibliographic …

Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a
given document. Recently, researchers have conducted in-depth studies on this task from …