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Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators
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In: Front Artif Intell (2022)
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Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages ...
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Coreference-aware Surprisal Predicts Brain Response ...
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Abstract:
Recent evidence supports a role for coreference processing in guiding human expectations about upcoming words during reading, based on covariation between reading times and word surprisal estimated by a coreference-aware semantic processing model (Jaffe et al. 2020).The present study reproduces and elaborates on this finding by (1) enabling the parser to process subword information that might better approximate human morphological knowledge, and (2) extending evaluation of coreference effects from self-paced reading to human brain imaging data. Results show that an expectation-based processing effect of coreference is still evident even in the presence of the stronger psycholinguistic baseline provided by the subword model, and that the coreference effect is observed in both self-paced reading and fMRI data, providing evidence of the effect's robustness. ...
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URL: https://dx.doi.org/10.48448/pp22-tv48 https://underline.io/lecture/38369-coreference-aware-surprisal-predicts-brain-response
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Surprisal Estimators for Human Reading Times Need Character Models ...
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Coreference information guides human expectations during natural reading ...
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The Importance of Category Labels in Grammar Induction with Child-directed Utterances ...
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Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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Tractable models of natural language semantics for recognizing spoken directions
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In: Dissertations available from ProQuest (2003)
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A Parameterized Action Representation for Virtual Human Agents
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In: Center for Human Modeling and Simulation (2000)
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A Parameterized Action Representation for Virtual Human Agents
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In: Center for Human Modeling and Simulation (2000)
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A Machine Translation System from English to American Sign Language
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In: Center for Human Modeling and Simulation (2000)
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