The transition of search engine usersā intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Automatically categorizing documents into pre-deļ¬ned topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...