Knowledge Graph Exploration for Natural Language Understanding in Web Information Retrieval

@inproceedings{Schuhmacher2016KnowledgeGE,
  title={Knowledge Graph Exploration for Natural Language Understanding in Web Information Retrieval},
  author={Michael Schuhmacher},
  year={2016}
}
In this thesis, we study methods to leverage information from fully-structured knowledge bases (KBs), in particular the encyclopedic knowledge graph (KG) DBpedia, for different text-related tasks from the area of information retrieval (IR) and natural language processing (NLP). The key idea is to apply entity linking (EL) methods that identify mentions of KB entities in text, and then exploit the structured information within KGs. Developing entity-centric methods for text understanding using… CONTINUE READING