No. 6: Natural Language Access to Big Data

All Papers

• Wikipedia-Based Distributional Semantics for Entity Relatedness

  Nitish Aggarwal, Paul Buitelaar

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• Extraction of (Key, Value) Pairs from Unstructured Ads

  Sunandan Chakraborty, Lakshminarayanan Subramanian, Yaw Nyarko

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• Discovering and Characterizing Emerging Events in Big Data

  Bonnie J. Dorr, Milenko Petrovic, James F. Allen, Choh Man Teng, Adam Dalton

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• Risk Event and Probability Extraction for Modeling Medical Risks

  Charles Jochim, Bogdan Sacaleanu, Léa A. Deleris

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• KELVIN: Extracting Knowledge from Large Text Collections

  James Mayfield, Paul McNamee, Craig Harman, Tim Finin, Dawn Lawrie

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• Ontology-Based Translation of Natural Language Queries to SPARQL

  Malte Sander, Ulli Waltinger, Mikhail Roshchin, Thomas Runkler

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• Taming Wild Big Data

  Jennifer Sleeman, Tim Finin

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• 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

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• Mining Large-Scale Knowledge Graphs to Discover Inference Paths for Query Expansion in NLIDB

  Peter Z. Yeh, Adwait Ratnaparkhi

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