TY - GEN
T1 - Joint inference for event timeline construction
AU - Do, Quang Xuan
AU - Lu, Wei
AU - Roth, Dan
PY - 2012
Y1 - 2012
N2 - This paper addresses the task of constructing a timeline of events mentioned in a given text. To accomplish that, we present a novel representation of the temporal structure of a news article based on time intervals. We then present an algorithmic approach that jointly optimizes the temporal structure by coupling local classifiers that predict associations and temporal relations between pairs of temporal entities with global constraints. Moreover, we present ways to leverage knowledge provided by event coreference to further improve the system performance. Overall, our experiments show that the joint inference model significantly outperformed the local classifiers by 9.2% of relative improvement in F1. The experiments also suggest that good event coref-erence could make remarkable contribution to a robust event timeline construction system.
AB - This paper addresses the task of constructing a timeline of events mentioned in a given text. To accomplish that, we present a novel representation of the temporal structure of a news article based on time intervals. We then present an algorithmic approach that jointly optimizes the temporal structure by coupling local classifiers that predict associations and temporal relations between pairs of temporal entities with global constraints. Moreover, we present ways to leverage knowledge provided by event coreference to further improve the system performance. Overall, our experiments show that the joint inference model significantly outperformed the local classifiers by 9.2% of relative improvement in F1. The experiments also suggest that good event coref-erence could make remarkable contribution to a robust event timeline construction system.
UR - http://www.scopus.com/inward/record.url?scp=84876787774&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876787774&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84876787774
SN - 9781937284435
T3 - EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference
SP - 677
EP - 687
BT - EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference
T2 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012
Y2 - 12 July 2012 through 14 July 2012
ER -