Retrieving Complex Answers through Knowledge Graph and Text

Explore a lecture on advanced information retrieval techniques that combine knowledge graphs and text to provide comprehensive answers to complex queries. Discover how algorithms can automatically identify relevant entities, relations, and supporting text to create Wikipedia-like responses for any web query. Learn about supervised retrieval models that jointly analyze web documents, Wikipedia entities, and extract passages to populate knowledge articles. Gain insights into the duality between structured knowledge and unstructured text, and how this approach can enhance search results beyond traditional "ten blue links" methods. Delivered by Laura Dietz, an Assistant Professor at the University of New Hampshire and expert in information retrieval and knowledge graphs, this talk offers valuable perspectives on cutting-edge developments in search technology and complex answer retrieval.