Mat hematical models of natural language semantics osc illate between the two opposing approaches of wor d-based statistical and sentence-based composition al. Word-based models rely on the ideas of Harris and Firth that words occurring in similar contexts have similar meanings. Compositional models, in t he sense of Montague 1970, systematically associat e the steps of a syntactic derivation with semant ic operations acting on the interpretations of the constituents. This workshop is an attempt to brin g together active researchers of these seemingly s eparate approaches to address problems of both the oretical and practical nature.
\nOne major goal is to introduce the statistical resear chers to the advanced type-logical techniques that have been developed to handle challenging grammat ical phenomena; the second one is to help the rese archers of the logical field to enhance their syst ems with vector representations. The overall goal is to help both groups collaborate to develop syst ems where both word vectors and complex grammatica l structures can be reasoned about in a compositio nal and computationally tractable way.
\n \n \nFor more information, see https://sites.google.com/site/sta tlogmeaning/.
\nWe invite submissions in the form of 2-page abstr acts on topics relating statistical and logical mo dels of natural language. This can be a summary of an already published paper or a new contribution. Submissions will be evaluated as to their potenti al for establishing meaningful links between the l ogical and statistical approaches. Deadline: April 1st 2016. Submission webpage: https://easychair.org/conferences/?conf=sa lmom2016.
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