1. Articles from Hollis G

    1-2 of 2
    1. Estimating the average need of semantic knowledge from distributional semantic models.

      Estimating the average need of semantic knowledge from distributional semantic models.

      Estimating the average need of semantic knowledge from distributional semantic models.

      Mem Cognit. 2017 Jul 13;:

      Authors: Hollis G

      Abstract Continuous bag of words (CBOW) and skip-gram are two recently developed models of lexical semantics (Mikolov, Chen, Corrado, & Dean, Advances in Neural Information Processing Systems, 26, 3111-3119, 2013).

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    2. Scoring best-worst data in unbalanced many-item designs, with applications to crowdsourcing semantic judgments.

      Scoring best-worst data in unbalanced many-item designs, with applications to crowdsourcing semantic judgments.

      Scoring best-worst data in unbalanced many-item designs, with applications to crowdsourcing semantic judgments.

      Behav Res Methods. 2017 May 27;:

      Authors: Hollis G

      Abstract Best-worst scaling is a judgment format in which participants are presented with a set of items and have to choose the superior and inferior items in the set.

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    1-2 of 2
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
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