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

Scientific articles contain various types of domain-specific entities and relations between
them. The entities and their relations succinctly capture important information about the topic …

Automatic keyphrases extraction (AKE) is a principal task in natural language processing
(NLP). Several techniques have been exploited to improve the process of extracting …

Natural Language Processing (NLP) has always been a major focus of companies and
institutions alike. There have been many significant contributions in this field of Computer …

Multi-document summarization finds its application in many downstream information
retrieval and natural language processing tasks. In the light of recent developments in social …

Nowadays many research articles are prefaced with research highlights to summarize the
main findings of the paper. Highlights not only help researchers precisely and quickly …

Keyphrases in a research paper succinctly capture the primary content of the paper and also
assist in indexing the paper at a concept level. Given the huge rate at which scientific papers …

Keyphrase extraction is a critical task in text information retrieval, which traditionally employs
both supervised and unsupervised approaches. Supervised methods generally rely on large …

The huge growth in scientific publications makes it difficult for researchers to keep track of
new research even in narrow sub-fields. While an abstract is a traditional way to present a …

To keep pace with the increased generation and digitization of documents, automated
methods that can improve search, discovery and mining of the vast body of literature are …