A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beli...
We investigate full-scale shortest-derivation parsing (SDP), wherein the parser selects an analysis built from the fewest number of training fragments. Shortest derivation parsing...
This paper presents models and algorithms for estimating the shape of a mirrored surface from a single image of that surface, rendered under an unknown, natural illumination. Whil...
We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a ...
In this paper we investigate how people use online rating information to inform decision making. We examine whether a theory of searching for information to discriminate between a...