Accessing the large volumes of information available in public knowledge bases might be
complicated for those users unfamiliar with formal languages, such as the SPARQL query …

Compared with conventional binary relation extraction, n-ary relation extraction is a
particularly challenging task due to the presence of multiple entities that span across …

Few-shot knowledge graph completion focuses on predicting unseen facts of long-tail
relations in knowledge graphs with only few reference sets. The key challenge for tackling …

Abstract Knowledge graphs are multi-relation heterogeneous graphs. Thus, the existence of
numerous multi-relation entities imposes a tough challenge to the modelling of the …

In recent years, the relation prediction has caught the attention of all walks of life, but
previous work mainly focused on the binary relations. With the continuous expansion of real …

The objective of knowledge graph question answering is to assist users in answering
questions by utilizing the information stored within the graph. Users are not required to …

Conversational recommender systems (CRS) aim to provide high-quality recommendations
through fewer multi-turn conversations. However, because short conversation histories lack …

Automatic question tagging is a crucial task in Community Question Answering (CQA)
systems such as Zhihu or Quora, as it can significantly enhance the user experience by …

Managed pressure drilling (MPD) is the most effective means to ensure drilling safety, and
MPD is able to avoid further deterioration of complex working conditions through precise …

In the process of bridge management, large amounts of domain information are
accumulated, such as basic attributes, structural defects, technical conditions, etc. However …