The goal of information retrieval (IR) systems is to find the contents most closely related to
the user's information needs from a pool of information. However, conventional IR methods …

As one of the challenging cross-modal tasks, video question answering (VideoQA) aims to
fully understand video content and answer relevant questions. The mainstream approach in …

With the increasing popularity of open educational resources in the past few decades, more
and more users watch online videos to gain knowledge. However, most educational videos …

Automatic keyphrase labelling stands for the ability of models to retrieve words or short
phrases that adequately describe documents' content. Previous work has put much effort …

Microblogging platforms have seen exponential growth, leading to an abundance of user-
generated content. The challenge now is to efficiently extract crucial information from this …

Quiz question annotation aims to assign the most relevant knowledge point to a question,
which is a key technology to support intelligent education applications. However, the …

Enormous untrimmed videos from the real world are difficult to analyze and manage.
Temporal action localization algorithms can help us to locate and recognize human activity …

Purpose The purpose of this research is to provide a framework in which new data quality
dimensions are defined. The new dimensions provide new metrics for the assessment of …

Anomaly detection in tabular data holds significant importance across various industries
such as manufacturing, healthcare, and finance. However, existing methods are constrained …

As the number of online news texts continues to increase, the algorithm of automatic
keyword extraction becomes a key content in facilitating users' fast access to the desired …