Natural Language Access to Big Data: Papers from the AAAI Fall Symposium
Dan G. Tecuci, Ulli Waltinger, Daniel Sonntag, Cochairs
November 13–15, 2014, Arlington, Virginia
Technical Report FS-14-06
Contents
Wikipedia-Based Distributional Semantics for Entity Relatedness
Nitish Aggarwal, Paul Buitelaar
Extraction of (Key, Value) Pairs from Unstructured Ads
Sunandan Chakraborty, Lakshminarayanan Subramanian, Yaw Nyarko
Discovering and Characterizing Emerging Events in Big Data
Bonnie J. Dorr, Milenko Petrovic, James F. Allen, Choh Man Teng, Adam Dalton
Risk Event and Probability Extraction for Modeling Medical Risks
Charles Jochim, Bogdan Sacaleanu, Léa A. Deleris
KELVIN: Extracting Knowledge from Large Text Collections
James Mayfield, Paul McNamee, Craig Harman, Tim Finin, Dawn Lawrie
Ontology-Based Translation of Natural Language Queries to SPARQL
Malte Sander, Ulli Waltinger, Mikhail Roshchin, Thomas Runkler
Taming Wild Big Data
Jennifer Sleeman, Tim Finin
Recommending Missing Symbols of Augmentative and Alternative Communication by Means of Explicit Semantic Analysis
Gyula Voros, Peter Rabi, Balazs Pinter, Andras Sarkany, Daniel Sonntag, Andras Lorincz
Mining Large-Scale Knowledge Graphs to Discover Inference Paths for Query Expansion in NLIDB
Peter Z. Yeh, Adwait Ratnaparkhi