期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2006
卷号：2006
出版社：ACL Anthology
摘要：Carsim is a program that automatically
converts narratives into 3D scenes. Carsim
considers authentic texts describing road
accidents, generally collected from web
sites of Swedish newspapers or transcribed
from hand-written accounts by victims of
accidents. One of the program’s key features
is that it animates the generated scene
to visualize events.
To create a consistent animation, Carsim
extracts the participants mentioned in a
text and identifies what they do. In this
paper, we focus on the extraction of temporal
relations between actions. We first
describe how we detect time expressions
and events. We then present a machine
learning technique to order the sequence
of events identified in the narratives. We
finally report the results we obtained.
