Neal Snider

Neal Snider
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Main area of research
Natural language & AI

Neal Snider is a Research Manager in the Clinical Language Understanding group with research interests in the areas of information extraction and natural language processing using both machine learning and symbolic techniques.  Neal is also interested in more efficient techniques to guide human annotators to produce high quality annotations for training and testing information extraction models.    He has a Ph.D. in Linguistics from Stanford University and a B.S. in Physics from Case Western Reserve University.

Selected articles

A unified lexicon and grammar? Compositional and non-compositional phrases in the lexicon

There has been long-standing tension in the study of language between approaches that assume a clear distinction between the mental lexicon and grammar (dual-system theories,

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Introduction to the special issue: parsimony and redundancy in models of language

One of the most fundamental goals in linguistic theory is to understand the nature of linguistic knowledge, that is, the representations and mechanisms that figure

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Alignment as a consequence of expectation adaptation: syntactic priming is affected by the prime’s prediction error given both prior and recent experience

Speakers show a remarkable tendency to align their productions with their interlocutors’. Focusing on sentence production, we investigate the cognitive systems underlying such alignment (syntactic

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The source ambiguity problem: Distinguishing the effects of grammar and processing on acceptability judgments

Judgments of linguistic unacceptability may theoretically arise from either grammatical deviance or significant processing difficulty. Acceptability data are thus naturally ambiguous in theories that explicitly

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Syntactic probabilities affect pronunciation variation in spontaneous speech

Speakers frequently have a choice among multiple ways of expressing one and the same thought. When choosing between syntactic constructions for expressing a given meaning,

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