| 1. |
- Bernardy, Jean-Philippe, 1978, et al.
(författare)
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Bayesian Inference Semantics for Natural Language
- 2022
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Ingår i: Probabilistic Approaches to Linguistic Theory / edited by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili.. - Stanford : CSLI Publications. - 9781684000791 ; , s. 161-228
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Bokkapitel (refereegranskat)abstract
- We present a Bayesian Inference Semantics for natural language, which computes the probability conditions of sentences compositionally, through semantic functions matching with the types of their syntactic constituents. This system captures the vagueness of classifier terms and scalar modifiers. It also offers a straightforward treatment of the sorites paradox. Our framework expresses probabilistic inferences, which rely on lexically encoded priors, and it captures the effect of informational update on these inferences, through Bayesian modelling. The central device with which we represent probabilistic interpretation is the assignment of measurable spaces to objects and properties. We estimate the probability of a predication by measuring the density of relevant objects in the space of the property that the predicate denotes. We explore two alternative models for the priors. The first one is based on Gaussian distributions, but it exhibits computational intractability with some cases of Monte Carlo sampling. The second is based on uniform densities, and in a number of important instances, it allows us to avoid Monte Carlo sampling. We construct a test suite to illustrate the range of syntactic and semantic constructions, and the inference types, that our system covers.
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| 2. |
- Cooper, Robin, 1947, et al.
(författare)
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Learning Language Games Probabilistically: From Crying to Compositionality
- 2022
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Ingår i: Probabilistic Approaches to Linguistic Theory, ed. by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili, CSLI Publications. - Stanford : Center for the Study of Language and Information. - 9781684000791
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Bokkapitel (refereegranskat)
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| 3. |
- Eshghi, Arash, et al.
(författare)
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Action coordination and learning in dialogue
- 2022
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Ingår i: Probabilistic Approaches to Linguistic Theory / edited by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili. - Stanford : Center for the Study of Language and Information. - 9781684000791 ; , s. 357-418
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 4. |
- Kelleher, John D., et al.
(författare)
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Distributional semantics for situated spatial language? Functional, geometric and perceptual perspectives
- 2022
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Ingår i: Probabilistic approaches to linguistic theory, CSLI Publications. - Stanford university, Stanford, California, USA : Center for the Study of Language and Information, The University of Chicago Press. - 9781684000791
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Konferensbidrag (refereegranskat)abstract
- Distributional semantics has been at the core of recent developments in deep learning work for natural language processing. This distributional semantics plus neural processing paradigm has resulted in significant improvements in state of the art results across a large number of tasks, including parsing, text classification, and machine translation. However, there are a number of areas of natural language processing research where this shift in paradigm has not resulted in significant improvements in system performance. One such area is in situated dialogue systems (such as those studied in the field of human-robot interaction), and in particular with respect to the processing of spatial references. This chapter examines why this lack of progress has occurred, through a review of existing research on grounding language in perception that is structured around three forms of semantic information available in situated dialogue: functional, geometric and perceptual. Through this review we identify which aspects of perceptual grounding distributional semantics naturally accommodates and which aspects it does not. Building on this insight we suggest avenues for future work that attempt to integrate distributional and non-distributional information in order to progress research in perceptual grounding of language, and discuss the broader implications of our findings for computational representations of natural language semantics.
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| 5. |
- Noble, Bill, et al.
(författare)
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Probabilistic pragmatics: A dialogical perspective
- 2022
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Ingår i: Probabilistic Approaches to Linguistic Theory / edited by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, and Aleksandre Maskharashvili. - Stanford, CA : CSLI Publications. - 9781684000791 ; , s. 227-258
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Bokkapitel (refereegranskat)
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| 6. |
- Sayeed, Asad, 1980
(författare)
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Reanalysis, probability, and the faculty of language
- 2022
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Ingår i: Probabilistic approaches to linguistic theory / edited by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili.. - Stanford : Center for the Study of Language and Information. - 9781684000791 ; , s. 159-226
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Bokkapitel (refereegranskat)
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| 7. |
- Somashekarappa, Vidya, 1994
(författare)
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Neuro-computation for Language processing
- 2022
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Ingår i: Probabilistic approaches to linguistic theory / edited by Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili.. - Stanford : Center for the Study of Language and Information. - 1557-5772. - 9781684000791 ; , s. 259-183
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Bokkapitel (refereegranskat)
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