Research profile seminar
Research profile seminar
Join work with
Rasmus Blanck
Aleksandre Maskharashvili
The ability of humans to reason under uncertainty has reflections
within natural language where we find various lexico-syntactic
constructions which allow us to express uncertain information.
Moreover, we are able draw conclusions - make inferences under
uncertainty. To give an adequate account to this crucial aspect of natural language, it has been long argued for employing probabilistic tools in defining semantics of natural language. In this abstract we address this issue by proposing a Logic with Measurable Spaces (LMS). We argue that LMS is suitable to represent the semantics of a number of important natural language phenomena. LMS draws inspiration from several sources. It is aims at being decidable (like descriptive logics). It features Sigma spaces (like Martin-Löf type-theory). It internalises the notion of the cardinality (in fact, here, measures) of spaces and ratios
thereof, allowing to capture the notion of event probability.
Lecturer: Jean-Philippe Bernardy
Date: 10/16/2019
Time: 1:15 PM - 3:00 PM
Categories: Linguistics
Organizer: CLASP
Location:
Department of Philosophy, Linguistics and Theory of Science
Dicksonsgatan 4, seminar room 112
Contact person: Stergios Chatzikyriakidis
29 Jan at 1:15 PM [Research profile seminar]
10 Feb at 1:15 PM [Research profile seminar]
12 Feb at 1:15 PM [Research profile seminar]
9 Mar at 1:15 PM [Research profile seminar]
11 Mar at 1:15 PM [Research profile seminar]
