Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study.

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Title: Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study.
Authors: Lalor JP; College of Information and Computer Sciences, University of Massachusetts, Amherst., Wu H; Department of Psychology and Human Development, Vanderbilt University., Munkhdalai T; Microsoft Research, Montréal, Québec., Yu H; College of Information and Computer Sciences, University of Massachusetts, Amherst.; Department of Computer Science, University of Massachusetts, Lowell.
Source: Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing [Proc Conf Empir Methods Nat Lang Process] 2018 Oct-Nov; Vol. 2018, pp. 4711-4716.
Publication Type: Journal Article
Journal Info: Publisher: ACL Country of Publication: United States NLM ID: 101669294 Publication Model: Print Cited Medium: Print NLM ISO Abbreviation: Proc Conf Empir Methods Nat Lang Process Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
An: 33241233
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study.
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  Data: <searchLink fieldCode="AU" term="%22Lalor+JP%22">Lalor JP</searchLink>; College of Information and Computer Sciences, University of Massachusetts, Amherst.<br /><searchLink fieldCode="AU" term="%22Wu+H%22">Wu H</searchLink>; Department of Psychology and Human Development, Vanderbilt University.<br /><searchLink fieldCode="AU" term="%22Munkhdalai+T%22">Munkhdalai T</searchLink>; Microsoft Research, Montréal, Québec.<br /><searchLink fieldCode="AU" term="%22Yu+H%22">Yu H</searchLink>; College of Information and Computer Sciences, University of Massachusetts, Amherst.; Department of Computer Science, University of Massachusetts, Lowell.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22ACL%22">ACL </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101669294 <i>Publication Model: </i>Print <i>Cited Medium: </i>Print <i>NLM ISO Abbreviation: </i>Proc Conf Empir Methods Nat Lang Process <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33241233
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.18653/v1/d18-1500
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      – Code: eng
        Text: English
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        StartPage: 4711
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      – TitleFull: Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study.
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            NameFull: Lalor JP
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            NameFull: Wu H
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            NameFull: Munkhdalai T
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            NameFull: Yu H
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            – D: 01
              M: 10
              Text: 2018 Oct-Nov
              Type: published
              Y: 2018
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            – Type: volume
              Value: 2018
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            – TitleFull: Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing
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