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

Stance detection aims to detect the stance toward a corresponding target. Existing works
use the assumption that the target is known in advance, which is often not the case in the …

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 …

The task of scholarly keyphrase boundary classification aims at identifying keyphrases from
scientific papers and classifying them with their types from a set of predefined classes (eg …

Keyphrase generation is the task of summarizing the contents of any given article into a few
salient phrases (or keyphrases). Existing works for the task mostly rely on large-scale …

Adapting keyphrase generation models to new domains typically involves few-shot fine-
tuning with in-domain labeled data. However, annotating documents with keyphrases is …

This paper introduces CovScore, an automatic reference-less methodology for evaluating
thematic title sets, extracted from a corpus of documents. While such extraction methods are …

Abstract Scientific Information Extraction (SciIE) is a vital task and is increasingly being
adopted in biomedical data mining to conceptualize and epitomize knowledge triplets from …

Reproducibility studies are treated as means to verify the validity of a scientific method, but
what else can we learn from such experiments? We addressed this question taking …

Keyphrases encapsulate the core information of a text, acting as effective tools for
organizing and retrieving extensive data. Their utility spans various applications, including …