Neo-Davidsonian-Based Event Class Semantic Representation

Incremental Neo-Davidsonian semantic construction for TAG

We propose a Neo-Davidsonian semantics approach as a framework for constructing a semantic interpretation simultaneously with a strictly incremental syntactic derivation using the PLTAG formalism, which supports full connectedness of all words under a single node at each point in time. This paper explains why Neo-Davidsonian semantics is particularly suitable for incremental semantic constructi...

Event-related potentials to event-related words: grammatical class and semantic attributes in the representation of knowledge.

A number of recent studies have provided contradictory evidence on the question of whether grammatical class plays a role in the neural representation of lexical knowledge. Most of the previous studies comparing the processing of nouns and verbs, however, confounded word meaning and grammatical class by comparing verbs referring to actions with nouns referring to objects. Here, we recorded elec...

Unifying Class - Based Representation

Deriving Syntactic Properties of Arguments and Adjuncts from Neo-Davidsonian Semantics

This paper aims to show that certain syntactic differences between arguments and adjuncts can be thought of as a transparent reflection of differences between their contributions to neo-Davidsonian logical forms. Specifically, the crucial underlying distinction will be that between modifying an event variable directly, and modifying an event variable indirectly via a thematic relation. I note a...

Semantic event representation and recognition using syntactic attribute graph grammar

The representation and recognition of complex semantic events (e.g. illegal parking, stealing objects) is a challenging task for high-level understanding of video sequence. To solve this problem, an attribute graph grammar for events modeling is studied in this paper. This grammar models the variability of semantic events by a set of meaningful ‘‘event components” with the spatio-temporal const...