Named Entity Linking and Question Answering over Linked data as probabilistic inference
Vortrag im Kolloquium Informatik von Prof. Dr. Philipp Cimiano (Bielefeld University) Mittwoch, 10.05, 16:00 Uhr (c.t.), Raum D 239
Referent: Prof. Dr. Philipp Cimiano (Bielefeld University)
Gastgeber: Prof. Dr. Steffen Staab
Title: Named Entity Linking and Question Answering over Linked data as probabilistic inference
We present new approaches to the problems of named entity linking and
question answering over linked data. Named entity linking consists in
linking a name in a text to an entity in a knowledge base that
represents its denotation. Question answering over linked data consists
in interpreting a natural language question in terms of a SPARQL query
that can be evaluated over a given RDF dataset.
We model both problems as statistical learning problems and present
undirected probabilistic graphical models for both problems. Inference
is done via approximative methods using Markov Chain Monte Carlo Method
and in particular using the Metropolis Hastings algorithm. Parameter
optimization is performed via a Learning-to-Rank Approach based on
We present our model structure for both problems as well as the features
used, and discuss our results on standard bechmarking datasets.
Philipp Cimiano is the head of the Semantic Computing Group at Bielefeld University. He is also affiliated with the Cognitive Interaction Technology Excellence Cluster. Before joining the University of Bielefeld, he was an assistant professor at Delft University of Technology (2008-2009) and a postdoctoral researcher at the Institute AIFB of Universität Kalsruhe (TH). Philipp is mainly interested in topics at the intersection between knowledge representation and text processing including: text mining, computational semantics, information retrieval, question answering, ontology learning, ontology localization, etc. He is editorial board member of the Semantic Web Journal.