Abstract | ||
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Probabilistic models of sentence comprehension are increasingly relevant to questions concerning human language processing. However, such models are often limited to syntactic factors. This paper introduces a novel sentence processing model that consists of a parser augmented with a probabilistic logic-based model of coreference resolution, which allows us to simulate how context interacts with syntax in a reading task. Our simulations show that a Weakly Interactive cognitive architecture can explain data which had been provided as evidence for the Strongly Interactive hypothesis. |
Year | Venue | Keywords |
---|---|---|
2010 | ACL | sentence comprehension,probabilistic model,probabilistic logic-based model,weakly interactive cognitive architecture,psycholinguistic model,reading task,human language processing,context interacts,coreference resolution,novel sentence processing model,interactive hypothesis |
Field | DocType | Volume |
Coreference,Sentence processing,Computer science,Natural language processing,Artificial intelligence,Parsing,Probabilistic logic,Cognitive architecture,Linguistics,Syntax,Sentence,Comprehension | Conference | P10-1 |
Citations | PageRank | References |
5 | 0.48 | 10 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Amit Dubey | 1 | 158 | 18.23 |