Event Recognition

Event recognition We present a program for segmenting texts ac- cording to the separate events they describe. A modular architecture is described that al- lows us to examine the contributions …...

This paper analyzes the contribution of se- mantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety of morphosyntactic features …...

We present in this paper an unsupervised approach to recognize events, time and place expressions in Ara- bic texts. Arabic is a resource –scarce language and we don’t easily have …...

This paper describes a system for temporal processing of text, which participated in the Temporal Evaluations 2013 campaign. The system employs a number of machine learning classifiers to perform the …...

Identifying documents that describe a specific type of event is challenging due to the high complexity and variety of event descriptions. We propose a multi-faceted event recognition approach, which identifies …...

AbstractIdentifying events of a specific type is a challenging task as events in texts are described in numerous and diverse ways. Aiming to resolve high complexities of event descriptions, previous …...

AbstractA huge body of continuously growing written knowledge is available on the web in the form of social media posts, RSS feeds, and news articles. Real-time information extraction from such …...

AbstractRecognizing the internal structure of events is a challenging language processing task of great importance for text understanding. We present a supervised model for automatically identifying when one event is …...

AbstractThere is an incredible amount of information available in the form of textual documents due to the growth of information sources. In order to get the information into an actionable …...