In this paper we propose an exploratory study for the application of Computational Linguistics techniques such as the Semantic Role Labeling of natural languages (SRL) to the case of sketch understanding. Our approach originated from a preliminary psychological experiment in which participants were asked to produce hand-drawn sketches from sentences embedding various semantic features; the effe...

Story highlights form a succinct single-document summary consisting of 3-4 highlight sentences that reflect the gist of a news article. Automatically producing news highlights is very challenging. We propose a novel method to improve news highlights extraction by using microblogs. The hypothesis is that microblog posts, although noisy, are not only indicative of important pieces of information ...

We present a method for dynamically generating Bayesian networks from knowledge bases consisting of rst-order probability logic sentences. We present a subset of probability logic su cient for representing the class of Bayesian networks with discrete-valued nodes. We impose constraints on the form of the sentences that guarantee that the knowledge base contains all the probabilistic information...

This paper presents an off-line study consisting of five questionnaires in which we observed interpretational preferences for ambiguous intra-sentential pronouns in parallel structures in German and French. We tested the influence of information structural factors, in particular, we compared the effects of topicalizing versus focusing potential antecedents of the ambiguous pronoun. Results repl...

A modular parallel distributed processing architecture for parsing, representing and paraphrasing sentences with multiple hierarchical relative clauses is presented. A lowel-level network reads the segments of the sentence word by word into partially speci ed case-role representations of the acts. A higher-level network combines these representations into a list of complete act representations....