Stanford question answering dataset

    • [DOCX File]University IT

      https://info.5y1.org/stanford-question-answering-dataset_1_3e475b.html

      Sep 08, 2016 · The non-Stanford party has attached the following annual third party audit report, certification, or attestation covering its privacy, security and IT operations and processes, including its risk assessment and risk management process; data collection, use, disclosure, storage and destruction policies; software development life cycle; breach/Incident response process; privacy and security ...

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    • MSFT Fiscal Year 2018 Second Quarter Earnings ... - Microsoft

      We reached the human parity milestone in machine reading comprehension using the Stanford Question Answering Dataset benchmark, which is the ability for AI to read a document and answer questions about it. We are using this and other AI advances to address some of society’s most pressing challenges by partnering broadly across industries.

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    • [DOC File]Proceedings Template - WORD

      https://info.5y1.org/stanford-question-answering-dataset_1_02665c.html

      Further edited by G. Murray, Jan. 13th. 2011 - adjusted 'top' space to .75' and ensured text in Introduction 'matched' LaTeX. Edited by G. Murray on Aug. 23rd. 2007 for 'ACM Reference Format' / updated reference examples.

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    • [DOC File]Stanford Institute for Economic Policy Research (SIEPR)

      https://info.5y1.org/stanford-question-answering-dataset_1_0d0fa6.html

      The Worldwide Patent Viewer dataset provided by Medtrack allowed us to link patent categories (i.e., patent class and subclass) to specific therapeutic markets (Diestre and Rajagopalan, 2012). Accordingly, we could link each focal firm’s patent (looking at its class and subclass) to specific therapeutic markets.

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    • [DOC File]ONTOLOGY-DRIVEN MULTI-SOURCE QUESTION ANSWERING

      https://info.5y1.org/stanford-question-answering-dataset_1_4edbb2.html

      ONTOLOGY-DRIVEN QUESTION ANSWERING AND ONTOLOGY QUALITY EVALUATION. by. SAMIR TARTIR. M.S. of Computer Science, University of Jordan, Jordan, 2002. B.Sc. of Computer Science, University of Jordan, Jordan, 1998. A Dissertation Submitted to the Graduate Faculty of the University of Georgia in Partial Fulfillment of the Requirements for the Degree.

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    • [DOCX File]University IT

      https://info.5y1.org/stanford-question-answering-dataset_1_491b27.html

      Apr 28, 2017 · The data is saved in the MyBrain app indefinitely and pushed to the study team nightly. The team will store the data in RedCap. We will remove the names, phone numbers, email addresses, geolocation, and IP addresses from the data, and send the information to …

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    • [DOC File]Problem Set #1

      https://info.5y1.org/stanford-question-answering-dataset_1_466567.html

      2) Computer exercises (#’s 16-18). Use the computer to generate the graphics and paste them into a digital version of this assignment while leaving room for you to digitally or hand write your responses if you so wish. 3) ‘How to Lie with Statistics’ Essay(s) (#’s 19-23). For this section, prepare a typed paragraph answering each question.

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    • [DOC File]Focus, Contrast, and Appeal - Stanford University

      https://info.5y1.org/stanford-question-answering-dataset_1_a7da2c.html

      Stanford University. Hayagreeva Rao. Stanford University. March 31, 2008. Revised September 12, 2008. Word count: 10,907 Categorical Contrast and Audience Appeal: Niche Width and Critical Success in Winemaking. Abstract

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    • MSFT Earnings Conference Call - c.s-microsoft.com

      We reached the human parity milestone in machine reading comprehension using the Stanford Question Answering Dataset benchmark, which is the ability for AI to read a document and answer questions about it. We are using this and other AI advances to address some of society’s most pressing challenges by partnering broadly across industries.

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    • [DOC File]Optimal Branching Design and the ... - Stanford University

      https://info.5y1.org/stanford-question-answering-dataset_1_e7754f.html

      Because the 2006 Harris Interactive dataset used in Study 1 consisted of original data collection, we present full question wordings below. For the other datasets (all of which were constructed by the ANES), we provide variable codes such that interested readers can look up wordings on the ANES website: www.electionstudies.org.

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