Nowadays, insider attacks are emerging as one of the top cybersecurity threats. However,
the detection of insider threats is a more arduous task for many reasons. A significant cause …

Abstract Knowledge Base Question Answering (KBQA) task is an important research
direction in natural language processing. Due to the flexibility and ambiguity of natural …

Due to the advances made in recent years, embedding methods caused a significant
increase in the accuracy of text or graph processing methods. Embedding methods exhibit a …

Abstract Knowledge graph embedding has found widespread application across various
fields due to its inherent structured data. However, some non-graph-based models …

In knowledge base question answering (KBQA) systems, relation detection and entity
recognition are two core components. However, since the relation detection in KBQA …

Knowledge Question Answering is one of the important research directions in the field of
robot intelligence. It is mainly based on background knowledge to analyze users' questions …

Risk identification is fundamental to effective risk management in any construction project. It
is especially true for tunnel projects where technicality and complexity increase the risks …

Named Entity Recognition and Relation Extraction are two crucial and challenging subtasks
in Information Extraction. Despite the successes achieved by the traditional approaches …

In recent years, new word embedding methods have clearly improved the accuracy of NLP
tasks. A review of the progress of these methods shows that the complexity of these models …

Extracting entities and relations from raw texts is a crucial and challenging task in the field of
Information Extraction. Despite the successes achieved by the traditional approaches …