Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
This paper describes an annotation guideline for a temporal relation-tagged corpus of Chinese. Our goal is construction of corpora to be used for a corpus-based analysis of tempor...
Abstract. When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper we propose a representation for 13 relation...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper, we propose a framework to represent, compute, and re...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...