Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Whither written language evaluation?
HLT '94 Proceedings of the workshop on Human Language Technology
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Graph-based event coreference resolution
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
Unsupervised event coreference resolution with rich linguistic features
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A pairwise event coreference model, feature impact and evaluation for event coreference resolution
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
Challenges from information extraction to information fusion
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A discriminative hierarchical model for fast coreference at large scale
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Joint entity and event coreference resolution across documents
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Using discourse information for paraphrase extraction
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Exploring coreference uncertainty of generically extracted event mentions
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
| Hi-index | 0.00 |
We have developed cross document event tracking technology that extends our earlier efforts in cross document person coreference. The software takes class of events, like "resignations" and clusters documents that mention resignations into equivalence classes. Documents belong to the same equivalence class if they mention the same "resignation" event, i.e. resignations involving the same person, time, and organization. Other events evaluated include "elections" and "espionage" events. Results range from 45--90% F-measure scores and we present a brief interannotator study for the "elections" data set.