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SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
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SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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HYPERTEXT '87 Proceedings of the ACM conference on Hypertext
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FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
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FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
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Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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Data & Knowledge Engineering - NLDB2002
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ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
NaLIX: an interactive natural language interface for querying XML
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
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EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
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IEEE Transactions on Knowledge and Data Engineering
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Constructing a generic natural language interface for an XML database
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Enabling domain-awareness for a generic natural language interface
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
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Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
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Converting a natural language query sentence into a formal database query is a major challenge. We have constructed NaLIX, a natural language interface for querying XML data. Through our experience with NaLIX, we find that failures in natural language query understanding can often be dealt with as ambiguities in term meanings. These failures are typically the result of either the user's poor knowledge of the database schema or the system's lack of linguistic coverage. With automatic term expansion techniques and appropriate interactive feedback, we are able to resolve these ambiguities. In this paper, we describe our approach and present results demonstrating its effectiveness.