Key concepts and areas in TDM explained – Part 4: Semantic Search

In the old days, if you would do a search in a search engine, you would get a lot of irrelevant hits that for some reason contained the keyword you used. Nowadays search engines give you much better results, because they put the keyword into context. This new way of searching is called ‘Semantic Search‘. Waleed Ammar of the Allen Intitute for Artificial Ingelligence explains semantic search, the challenges and the state-of-the-art in a few short video clips. 


How can Semantic Search be described

What are the current challenges in Semantic Search

What is the State-of-the-art in Semantic Search

About Waleed Ammar

Waleed Ammar, Research Scientist at Allen Institute for Artificial Intelligence, develops models for converting natural language text into structured representations. Before starting his Ph.D. at Carnegie Mellon University, Waleed was an SDE2 at Microsoft Research, web developer at eSpace Technologies, and teaching assistant at Alexandria University. He was awarded the Google PhD fellowship award and two Microsoft Research Tech Transfer awards.