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In this article, we study the problem of finding previous queries (e.g., posed by other users) which may be similar to new queries, and adapting their answers as the answers to the new queries.
A key challenge here is to the bridge the lexical gap between new queries and old answers.
Without a doubt, many of the United States Citizenship and Immigration Service's new queries draw quick and correct responses — even yawns and smirks of bafflement at their simplicity.
The number of new queries generated by ODQ in response to a data request depends on the quality and quantity of data requested.
To address this challenge, past research has proposed techniques similar to machine translation that "translate" old answers to ones using the words in the new queries.
Unfortunately, the capabilities of these services vary considerably, mainly as a consequence of the availability and completeness of the literature bases to which new queries are compared.
Similar(16)
To create a new query, click New > Analysis from the menu bar at the top.
The system creates a new query by combining terms from the selected records.
A new query-oriented extraction technique is proposed to extract information distributed in multiple documents.
In this paper, we propose a new query routing mechanism to improve query routing performance in such P2P networks.
The new query is used to search the catalog and provide a new ranked list of matching records.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com