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 Extraction (KE) is a critical component in Natural Language Processing (NLP)
systems for selecting a set of phrases from the document that could summarize the important …

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 …

Job interviews are the most widely accepted method for companies to select suitable
candidates, and a critical challenge is finding the right questions to ask job candidates …

With growing amounts of available textual data, development of algorithms capable of
automatic analysis, categorization, and summarization of these data has become a …

Unsupervised keyphrase extraction (UKE) aims to detect out a set of keyphrases of a
document without using any annotation signal for training the UKE model. Existing UKE …

The goal of keyword extraction is to extract from a text, words, or phrases indicative of what it
is talking about. In this work, we look at keyword extraction from a number of different …

Keyphrases are crucial for searching and systematizing scholarly documents. Most current
methods for keyphrase extraction are aimed at the extraction of the most significant words in …

Music plays an important role in our daily life. With the development of deep learning and
modern generation techniques, researchers have done plenty of works on automatic music …

Keyphrase generation has primarily been explored within the context of academic research
articles, with a particular focus on scientific domains and the English language. In this work …