Due to the considerable growth of the volume of text documents on the Internet and in digital
libraries, manual analysis of these documents is no longer feasible. Having efficient …

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 …

Keyphrase provides highly-condensed information that can be effectively used for
understanding, organizing and retrieving text content. Though previous studies have …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

In this paper, we address the keyphrase extraction problem as sequence labeling and
propose a model that jointly exploits the complementary strengths of Conditional Random …

Recently, the sequence-to-sequence models have made remarkable progress on the task of
keyphrase generation (KG) by concatenating multiple keyphrases in a predefined order as a …

The wide spread use of online recruitment services has led to information explosion in the
job market. As a result, the recruiters have to seek the intelligent ways for Person-Job Fit …

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 …

Due to the exponential growth of textual data and web sources, an automatic mechanism is
required to identify relevant information embedded within them. The utility of Automatic …