<--- Back to Details
First PageDocument Content
Computational linguistics / Artificial intelligence / Linguistics / Computational science / Question answering / Semantic parsing / Training /  test /  and validation sets / Cyc / Artificial neural network / Reading comprehension / Named-entity recognition / Wikipedia
Date: 2017-04-30 21:08:35
Computational linguistics
Artificial intelligence
Linguistics
Computational science
Question answering
Semantic parsing
Training
test
and validation sets
Cyc
Artificial neural network
Reading comprehension
Named-entity recognition
Wikipedia

Reading Wikipedia to Answer Open-Domain Questions Adam Fisch, Jason Weston & Antoine Bordes Danqi Chen∗ Facebook AI Research Computer Science 770 Broadway

Add to Reading List

Source URL: arxiv.org

Download Document from Source Website

File Size: 1,95 MB

Share Document on Facebook

Similar Documents

FORM A: GACP ACCOMPLISHMENT REPORT Name: Philip A. Durkee Institution: Naval Postgraduate School TITLE: Development and Validation of Multiple-Satellite Data Sets for Global Aerosol Radiative Forcing. ABSTRACT: Aerosol p

FORM A: GACP ACCOMPLISHMENT REPORT Name: Philip A. Durkee Institution: Naval Postgraduate School TITLE: Development and Validation of Multiple-Satellite Data Sets for Global Aerosol Radiative Forcing. ABSTRACT: Aerosol p

DocID: 1laZ8 - View Document

FORM A: GACP ACCOMPLISHMENT REPORT Name: Philip A. Durkee Institution: Naval Postgraduate School TITLE: Development and Validation of Multiple-Satellite Data Sets for Global Aerosol Radiative Forcing. ABSTRACT: Aerosol p

FORM A: GACP ACCOMPLISHMENT REPORT Name: Philip A. Durkee Institution: Naval Postgraduate School TITLE: Development and Validation of Multiple-Satellite Data Sets for Global Aerosol Radiative Forcing. ABSTRACT: Aerosol p

DocID: 1l9we - View Document

EURS and EURSvalidator 5.0 – Supported Validation Sets and Functionality 1. Supported Validation Sets  The following table provides a summary of the available validation sets (x) in EURS and EURSvalidator.

EURS and EURSvalidator 5.0 – Supported Validation Sets and Functionality 1. Supported Validation Sets The following table provides a summary of the available validation sets (x) in EURS and EURSvalidator.

DocID: 1gwvn - View Document

Roman Hornung, Christoph Bernau, Caroline Truntzer, Thomas Stadler, Anne-Laure Boulesteix Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction

Roman Hornung, Christoph Bernau, Caroline Truntzer, Thomas Stadler, Anne-Laure Boulesteix Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction

DocID: 1gozx - View Document

ON THE USE OF OBSERVATION DATA SETS FOR THE VALIDATION OF SRNWP SURFACE SCHEMES Jean-François Mahfouf (Météo-France/CNRM) and the SRNWP ET on surface processes

ON THE USE OF OBSERVATION DATA SETS FOR THE VALIDATION OF SRNWP SURFACE SCHEMES Jean-François Mahfouf (Météo-France/CNRM) and the SRNWP ET on surface processes

DocID: 1d9Ce - View Document