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Complex Event Forecasting with Prediction Suffix Trees: Extended Technical Report ...
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Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation ...
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ColloQL: Robust Cross-Domain Text-to-SQL Over Search Queries ...
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Abstract:
Translating natural language utterances to executable queries is a helpful technique in making the vast amount of data stored in relational databases accessible to a wider range of non-tech-savvy end users. Prior work in this area has largely focused on textual input that is linguistically correct and semantically unambiguous. However, real-world user queries are often succinct, colloquial, and noisy, resembling the input of a search engine. In this work, we introduce data augmentation techniques and a sampling-based content-aware BERT model (ColloQL) to achieve robust text-to-SQL modeling over natural language search (NLS) questions. Due to the lack of evaluation data, we curate a new dataset of NLS questions and demonstrate the efficacy of our approach. ColloQL's superior performance extends to well-formed text, achieving 84.9% (logical) and 90.7% (execution) accuracy on the WikiSQL dataset, making it, to the best of our knowledge, the highest performing model that does not use execution guided decoding. ... : IntEx-SemPar Workshop at EMNLP 2020, 12 pages, 3 figures ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Databases cs.DB; FOS Computer and information sciences; Information Retrieval cs.IR
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URL: https://arxiv.org/abs/2010.09927 https://dx.doi.org/10.48550/arxiv.2010.09927
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A Hybrid Semantic Parsing Approach for Tabular Data Analysis ...
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How to define co-occurrence in different domains of study? ...
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CLaRO: a Data-driven CNL for Specifying Competency Questions ...
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Competency Questions and SPARQL-OWL Queries Dataset and Analysis ...
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Discovery of potential collaboration networks from open knowledge sources ...
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Using Linguistic Analysis to Translate Arabic Natural Language Queries to SPARQL ...
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Mining Generalized Patterns from Large Databases using Ontologies ...
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