This study aims at identifying when an event written in text occurs. In particular, we classify a sentence for an event into four time-slots; morning, daytime, evening, and night....
Event tracking is the task of discovering temporal patterns of popular events from text streams. Existing approaches for event tracking have two limitations: scalability and inabi...
Viet Ha-Thuc, Yelena Mejova, Christopher Harris, P...
In digital humanities projects, particularly for historical research and cultural heritage, GIS has played an increasingly important role. However, most implementations have conce...
Fredric C. Gey, Ryan Shaw, Ray R. Larson, Barry Pa...
This paper reports on the annotation of all English verbs included in WordNet 2.0 with TimeML event classes. Two annotators assign each verb present in WordNet the most relevant e...
Recently, social text streams (e.g., blogs, web forums, and emails) have become ubiquitous with the evolution of the web. In some sense, social text streams are sensors of the rea...