11 found
Roger Levy [10]Roger P. Levy [1]
  1.  50
    Expectation-based syntactic comprehension.Roger Levy - 2008 - Cognition 106 (3):1126-1177.
  2.  55
    The effect of word predictability on reading time is logarithmic.Nathaniel J. Smith & Roger Levy - 2013 - Cognition 128 (3):302-319.
  3.  17
    Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing.Richard Futrell, Edward Gibson & Roger P. Levy - 2020 - Cognitive Science 44 (3):e12814.
    A key component of research on human sentence processing is to characterize the processing difficulty associated with the comprehension of words in context. Models that explain and predict this difficulty can be broadly divided into two kinds, expectation‐based and memory‐based. In this work, we present a new model of incremental sentence processing difficulty that unifies and extends key features of both kinds of models. Our model, lossy‐context surprisal, holds that the processing difficulty at a word in context is proportional to (...)
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  4.  14
    Comprehension priming as rational expectation for repetition: Evidence from syntactic processing.Mark Myslín & Roger Levy - 2016 - Cognition 147 (C):29-56.
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  5.  17
    Abstract knowledge versus direct experience in processing of binomial expressions.Emily Morgan & Roger Levy - 2016 - Cognition 157:384-402.
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  6.  22
    The processing of extraposed structures in English.Roger Levy, Evelina Fedorenko, Mara Breen & Edward Gibson - 2012 - Cognition 122 (1):12-36.
  7.  18
    Task effects reveal cognitive flexibility responding to frequency and predictability: Evidence from eye movements in reading and proofreading.Elizabeth R. Schotter, Klinton Bicknell, Ian Howard, Roger Levy & Keith Rayner - 2014 - Cognition 131 (1):1-27.
  8.  41
    A Computational Model of Linguistic Humor in Puns.Justine T. Kao, Roger Levy & Noah D. Goodman - 2016 - Cognitive Science 40 (5):1270-1285.
    Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures—ambiguity and distinctiveness—derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly with human (...)
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  9. Optimal processing times in reading: a formal model and empirical investigation.Nathaniel J. Smith & Roger Levy - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  10. Rational eye movements in reading combining uncertainty about previous words with contextual probability.Klinton Bicknell & Roger Levy - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  11.  16
    A Generative Model for Semantic Role Labeling.Cynthia A. Thompson, Roger Levy & Christopher D. Manning - unknown
    Determining the semantic role of sentence constituents is a key task in determining sentence meanings lying behind a veneer of variant syntactic expression. We present a model of natural language generation from semantics using the FrameNet semantic role and frame ontology. We train the model using the FrameNet corpus and apply it to the task of automatic semantic role and frame identification, producing results competitive with previous work (about 70% role labeling accuracy). Unlike previous models used for this task, our (...)
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