K
Kurt P. Eiselt
Researcher at Georgia Institute of Technology
Publications - 7
Citations - 63
Kurt P. Eiselt is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Sentence processing & Sentence. The author has an hindex of 5, co-authored 7 publications receiving 63 citations.
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Parsing with parallelism : a spreading-activation model of inference processing during text understanding
TL;DR: ATLAST (A Three-level Language Analysis SysTem) is an implemented integration of human language understanding at the lexical, the syntactic, and the pragmatic levels and uses a new architecture which was developed to incorporate three features: spreading activation memory, two-stage syntax, and parallel processing of syntax and semantics.
Inference processing and error recovery in sentence understanding
Kurt P. Eiselt,Richard Granger +1 more
TL;DR: This dissertation describes a new approach to lexical ambiguity resolution during sentence understanding which is implemented in a program called ATLAST, and provides a solution to the problem of error recovery which is compatible with current psycholinguistic theories of lexical disambiguation.
Proceedings Article
Having your cake and eating it too: autonomy and interaction in a model of sentence processing
TL;DR: It is argued that a hybrid approach which combines a unified processor with separate knowledge sources provides an explanation of both bodies of data, and the feasibility of this approach is demonstrated with the computational model called COMPERE.
Posted Content
A Unified Process Model of Syntactic and Semantic Error Recovery in Sentence Understanding.
TL;DR: This paper explores some of the ideas via a prototype computational model of sentence processing called COMPERE, and proposes a set of psychological experiments for testing the theories.
Book ChapterDOI
Uniform Representations for Syntax-Semantics Arbitration.
Kavi Mahesh,Kurt P. Eiselt +1 more
TL;DR: A set of principles derived from psychological findings are looked at to argue for a particular organization of linguistic knowledge along with a particular processing strategy and a computational model of sentence processing based on those principles are presented.