sqout.stern.nyu.edu

The SQoUT Project

The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department. The SQoUT Project at NYU/Columbia. Showed how to retrieve structured information from unstructured textual data. Such systems allow users to ask complicated questions over unstructured text and get concrete answers, thus enabling users to spend less time searching for information and more time analyzing and understanding the results. Our work focuses on:.

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The SQoUT Project | sqout.stern.nyu.edu Reviews

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The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department. The SQoUT Project at NYU/Columbia. Showed how to retrieve structured information from unstructured textual data. Such systems allow users to ask complicated questions over unstructured text and get concrete answers, thus enabling users to spend less time searching for information and more time analyzing and understanding the results. Our work focuses on:.

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The SQoUT Project | sqout.stern.nyu.edu Reviews

https://sqout.stern.nyu.edu

The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department. The SQoUT Project at NYU/Columbia. Showed how to retrieve structured information from unstructured textual data. Such systems allow users to ask complicated questions over unstructured text and get concrete answers, thus enabling users to spend less time searching for information and more time analyzing and understanding the results. Our work focuses on:.

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sqout.stern.nyu.edu

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The SQoUT Project

http://sqout.stern.nyu.edu/datasets.html

The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department.

2

The SQoUT Project

http://sqout.stern.nyu.edu/publications.html

The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department. Optimizing SQL Queries over Text Databases. A Jain, A. Doan, and L. Gravano,. Proceedings of the of the 24th IEEE International Conference on Data Engineering (ICDE 2008). Towards a Query Optimizer for Text-Centric Tasks. P Ipeirotis, E. Agichtein, P. Jain, and L. Gravano,. ACM Transactions on Database Systems (TODS), vol. 32, no. 4, article 21, November 2007. Best Paper Award,.

3

The SQoUT Project

http://sqout.stern.nyu.edu/people.html

The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department. Faculty member, Emory University). Faculty member, University of Wisconsin-Madison).

4

The SQoUT Project

http://sqout.stern.nyu.edu/software.html

The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department. Quality-Aware Query Optimizer for Information Extraction.

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Panagiotis G. Ipeirotis

http://pages.stern.nyu.edu/~panos

George A. Kellner Faculty Fellow. Leonard N. Stern School of Business. 44 West 4th Street. New York, NY 10012. Email: panos@stern.nyu.edu. This page is largely depracated. Please visit my current website at www.ipeirotis.com. Research Interests: Crowdsourcing, Text and Web Mining. Economic-aware analysis of user-generated content. Crowdsourcing, Mechanical Turk, and Human computation. Software and Data Sets. Quality Management on Mechanical Turk. For the latest news, check my blog. Serres, my home town.

people.stern.nyu.edu

Panagiotis G. Ipeirotis

http://people.stern.nyu.edu/panos

George A. Kellner Faculty Fellow. Leonard N. Stern School of Business. 44 West 4th Street. New York, NY 10012. Email: panos@stern.nyu.edu. This page is largely depracated. Please visit my current website at www.ipeirotis.com. Research Interests: Crowdsourcing, Text and Web Mining. Economic-aware analysis of user-generated content. Crowdsourcing, Mechanical Turk, and Human computation. Software and Data Sets. Quality Management on Mechanical Turk. For the latest news, check my blog. Serres, my home town.

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The SQoUT Project

The SQoUT Project at Stern School of Business, NYU. New York University, IOMS Department. Columbia University, CS Department. The SQoUT Project at NYU/Columbia. Showed how to retrieve structured information from unstructured textual data. Such systems allow users to ask complicated questions over unstructured text and get concrete answers, thus enabling users to spend less time searching for information and more time analyzing and understanding the results. Our work focuses on:.

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