While automatic keyphrase extraction has been examined extensively, state-of-theart
performance on this task is still much lower than that on many core natural language …

Keyphrases can provide highly condensed and valuable information that allows users to
quickly acquire the main ideas. The task of automatically extracting them have received …

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 …

With the advent of Web 2.0, there exist many online platforms that results in massive textual
data production such as social networks, online blogs, magazines etc. This textual data …

False information in the domain of online health related articles is of great concern, which
has been witnessed abundantly in the current pandemic situation of Covid-19. Recent …

Natural language processing for finance has gained significant attention from both
academia and the industry as the continuously increasing amount of financial texts has …

Recent technological advancements have led to a significant increase in digital documents.
A document's key information is generally represented by the keyphrases that provide the …

Automatic keywords extraction is a method that extracts words or phrases from a document
which can express the main idea of the document. In this paper, we propose an …

Nowadays, automatic multidocument text summarization systems can successfully retrieve
the summary sentences from the input documents. But, it has many limitations such as …

Aiming at the shortcomings of the TextRank method (TM) which only considers the co-
occurrence between words and the incipient word importance when extracting keywords …