Modeling Integration Effects in Language with Probabilistic Logic
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Informatics
Abstract
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Publications
Amit Dubey (author)
(2010)
The influence of discourse on syntax : a psycholinguistic model of sentence processing
Amit Dubey (Author)
(2011)
A model of discourse predictions in human sentence processing
Amit Dubey (Author)
(2011)
A probabilistic model of discourse effects on sentence processing
Dubey A
(2013)
Probabilistic modeling of discourse-aware sentence processing.
in Topics in cognitive science
Frank Keller (Author)
(2010)
Cognitively plausible models of human language processing
Kreiner H
(2013)
Number agreement in sentence comprehension: The relationship between grammatical and conceptual factors
in Language and Cognitive Processes
Kwon N
(2013)
Null pronominal ( pro ) resolution in Korean, a discourse-oriented language
in Language and Cognitive Processes
Oliver Stewart (Author)
(2011)
Fast contextual integration based on parafoveal information
Sturt P
(2010)
Syntactic priming in comprehension: Parallelism effects with and without coordination
in Journal of Memory and Language
Description | A syntax/semantics interface for a psycholinguistics model |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Primary Audience | |
Results and Impact | The cognitive modeling community has expressed a great deal of interest in simulating incremental syntactic processing. Syntax is, of course, not the end of the language understanding process. However, there has not been as much work on simulating word-by-word incrementality in semantic and pragmatic processing. Before developing a model of incremental semantic interpretation, though, it is necessary to have a firm grasp on how syntactic structures are converted to semantic ones. Indeed, existing computational models of the syntax/semantics interface generally cannot produce a meaningful semantic representation of an utterance until the syntax has been completely processed -- even in cases when they assume the syntax is analyzed incrementally. In this talk, I will outline a sketch of an incremental syntax/semantics interface, giving particular emphasis on how the syntax/semantics interface lays the foundation for dealing with issues such as argument structure ambiguity, quantifier scope ambiguity, and syntactically-licensed presuppositions and implicatures. A critical part of the model is how behavioural predictions are made from the computational simulations. I assume that the syntax/semantics interface is situated in a probabilistic model, using an incremental probabilistic parser as the syntactic model, and, a "probabilistic logic" for semantic interpretation. The semantic interpreter, instead of attempting to prove the truth-conditional semantics of a utterance, rather computes the probability of a (possibly ambiguous) interpretation. This not only has an obvious role in disambiguation, but also creates predictions on how "surprised" the sentence processor is as new material is processed incrementally. |
Year(s) Of Engagement Activity | 2010 |
Description | Inferring grounding through coherence and rationality |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Primary Audience | |
Results and Impact | This paper analyses dialogues where understanding and agreement are problematic. We argue that pragmatic theories can account for such dialogues only by models that combine linguistic principles of discourse coherence and cognitive models of practical rationality. Presented at SemDial 2010: 14th workshop on the semantics and pragmatics of dialogue |
Year(s) Of Engagement Activity |