Papers by Rivka Malca

1 papers
Neural Transition Based Parsing of Web Queries: An Entity Based Approach (D18-1)

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Challenge: Existing query parsers that account for the unique grammar of web queries rely on resources not available outside of big web corporations.
Approach: They propose a biLSTM query parser that explicitly accounts for the unique grammar of queries.
Outcome: The proposed query parser outperforms existing state-of-the-art parsers on 2500 annotated queries.

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