Is natural language querying practical?
ACM SIGMIS Database
Indexing and access for digital libraries and the Internet: human, database, and domain factors
Journal of the American Society for Information Science
International Journal of Human-Computer Studies
Natural Language Information Retrieval
Natural Language Information Retrieval
Information Retrieval
IEEE Intelligent Systems
IEEE Intelligent Systems
Anchor text mining for translation of Web queries: A transitive translation approach
ACM Transactions on Information Systems (TOIS)
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A major obstacle to online shopping is the lack of meaning understanding and precision in e-catalog searching engines. Natural language query should be able to solve these problems but historically has been unable to, owing to difficulties of scaling to the complexities and performance demands of large-scale online catalogs. Recent research, however, has enabled NLQ search to hold its own in terms of timing while it improves precision and parsing capability.