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 …

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 …

The large and growing amounts of online scholarly data present both challenges and
opportunities to enhance knowledge discovery. One such challenge is to automatically …

Abstractive text summarization is the task of compressing and rewriting a long document into
a short summary while maintaining saliency, directed logical entailment, and non …

In this work, we explore how to train task-specific language models aimed towards learning
rich representation of keyphrases from text documents. We experiment with different …

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 …

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

Generating keyphrases that summarize the main points of a document is a fundamental task
in natural language processing. Although existing generative models are capable of …

We study the problem of generating keyphrases that summarize the key points for a given
document. While sequence-to-sequence (seq2seq) models have achieved remarkable …