Text similarity measurement is the basis of natural language processing tasks, which play an
important role in information retrieval, automatic question answering, machine translation …

Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in
semantic search. Prior conceptual graph construction approaches typically extract high …

Taxonomies consist of machine-interpretable semantics and provide valuable knowledge for
many web applications. For example, online retailers (eg, Amazon and eBay) use …

Automatic construction of a taxonomy supports many applications in e-commerce, web
search, and question answering. Existing taxonomy expansion or completion methods …

E-commerce platforms are committed to planning various marketing campaigns to make
profits, and the impact of marketing campaigns is determined by the number of consumers …

Automatically constructing taxonomy finds many applications in e-commerce and web
search. One critical challenge is as data and business scope grow in real applications, new …

Named entity recognition (NER) is a fundamental component in many applications, such as
Web Search and Voice Assistants. Although deep neural networks greatly improve the …

Taxonomies have found wide applications in various domains, especially online for item
categorization, browsing, and search. Despite the prevalent use of online catalog …

Knowledge graphs have been pivotal in supporting downstream applications like search,
recommendation, and question answering, among others. Therefore, knowledge graphs …