Distributional semantics is a usage-based model of meaning, based on the assumption that
the statistical distribution of linguistic items in context plays a key role in characterizing their …

Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …

Robust and flexible event representations are important to many core areas in language
understanding. Scripts were proposed early on as a way of representing sequences of …

Distributional semantics develops theories and methods to represent the meaning of natural
language expressions, with vectors encoding their statistical distribution in linguistic …

Distributional data tells us that a man can swallow candy, but not that a man can swallow a
paintball, since this is never attested. However both are physically plausible events. This …

Prior research has explored the ability of computational models to predict a word semantic fit
with a given predicate. While much work has been devoted to modeling the typicality relation …

Ellipsis is a linguistic phenomenon characterized by the omission of one or more sentence
elements. Solving such a linguistic construction is not a trivial issue in natural language …

Distributional semantic models (DSMs) are a primary method for distilling semantic
information from corpora. However, a key question remains: What types of semantic …

This paper proposes to study a fine-grained semantic novelty detection task, which can be
illustrated with the following example. It is normal that a person walks a dog in the park, but if …

In this paper, we introduce a new distributional method for modeling predicate-argument
thematic fit judgments. We use a syntax-based DSM to build a prototypical representation of …