Given a document and a target aspect (eg, a topic of interest), aspect-based abstractive
summarization attempts to generate a summary with respect to the aspect. Previous studies …

Abstractive summarization models heavily rely on copy mechanisms, such as the pointer
network or attention, to achieve good performance, measured by textual overlap with …

Fast-developing fields such as Artificial Intelligence (AI) often outpace the efforts of
encyclopedic sources such as Wikipedia, which either do not completely cover recently …

The task of sentence completion, which aims to infer the missing text of a given sentence,
was carried out to assess the reading comprehension level of machines as well as humans …

We consider the problem of topic-focused abstractive summarization, where the goal is to
generate an abstractive summary focused on a particular topic, a phrase of one or multiple …

In this paper, we present a new corpus of clickbait articles annotated by university students
along with a corresponding shared task: clickbait articles use a headline or teaser that hides …

This paper outlines the system using which team Nowruz participated in SemEval 2022 Task
7 Identifying Plausible Clarifications of Implicit and Underspecified Phrases for both …

Text summarization has been an important task for natural language processing. It aims to
compress the source document (s) into a more concise version that covers the most …

Predictability corpora built via Cloze task generally accompany eye-tracking data for the
study of processing costs of linguistic structures in tasks of reading for comprehension. Two …

Wikipedia has increasingly become an important resource for education and knowledge
acquisition, and the automatic generation of Wikipedia articles could greatly improve the …