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mbalazin authored Feb 29, 2024
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Expand Up @@ -41,11 +41,11 @@ Being able to query relational databases in natural language can be considered a



In this talk we provide insights into the fascinating world of applying natural language processing and machine learning techniques to tackle this fundamental database problem. First, we explain how pretrained language models can be used to translate natural language questions into SQL. Afterward, we show how we can automatically generate training datasets when working with new databases where little to no training data is available. Finally, we address the limits of current systems when dealing with real-word applications and sketch research directions of how to tackle these challenges.
In this talk we provide insights into the fascinating world of applying natural language processing and machine learning techniques to tackle this fundamental database problem. First, we explain how pretrained language models can be used to translate natural language questions into SQL. Afterward, we show how we can automatically generate training datasets when working with new databases where little to no training data is available. Finally, we address the limits of current systems when dealing with real-world applications and sketch research directions of how to tackle these challenges.
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<p><strong>Bio</strong>:
Kurt Stockinger is currently a Visiting Scholar at University of Washington. In his parallel life across the Atlantic, he is a Professor of Computer Science, Director of Studies in Data Science and Head of the Intelligent Information Systems Group. He is also an external lecturer at University of Zurich. Kurt Stockingers’ research focuses on Data Science with emphasis on Big Data, Natural Language Query Processing, Query Optimization and Quantum Computing. Essentially, his research interests are at the intersection of databases, natural language processing and machine learning. Previously Kurt Stockinger worked at Credit Suisse in Zurich, Switzerland, at Lawrence Berkeley National Laboratory in Berkeley, California, at California Institute of Technology, California as well as at CERN in Geneva, Switzerland. He holds a Ph.D. in computer science from CERN / University of Vienna.
Kurt Stockinger is currently a Visiting Scholar at University of Washington. In his parallel life across the Atlantic, he is a Professor of Computer Science, Director of Studies in Data Science and Head of the Intelligent Information Systems Group. He is also an external lecturer at University of Zurich. Kurt Stockinger's research focuses on Data Science with emphasis on Big Data, Natural Language Query Processing, Query Optimization and Quantum Computing. Essentially, his research interests are at the intersection of databases, natural language processing and machine learning. Previously Kurt Stockinger worked at Credit Suisse in Zurich, Switzerland, at Lawrence Berkeley National Laboratory in Berkeley, California, at California Institute of Technology, California as well as at CERN in Geneva, Switzerland. He holds a Ph.D. in computer science from CERN / University of Vienna.
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