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 …

Retaining learner engagement is a major challenge in online learning environments, which
is even more intensified with learning spaces increasingly built by combining resources from …

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 …

Embedding based methods are widely used for unsupervised keyphrase extraction (UKE)
tasks. Generally, these methods simply calculate similarities between phrase embeddings …

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

Keyword or keyphrase extraction is to identify words or phrases presenting the main topics
of a document. This paper proposes the AttentionRank, a hybrid attention model, to identify …

Co-creation with artificial intelligence (AI) is an upcoming trend. However, less attention has
been given to the construction of systems for Japanese novelists. In this study, we built …

Keyphrase extraction (KPE) automatically extracts phrases in a document that provide a
concise summary of the core content, which benefits downstream information retrieval and …

A document's keywords provide high-level descriptions of the content that summarize the
document's central themes, concepts, ideas, or arguments. These descriptive phrases make …