Procedure for quantitatively comparing the syntactic coverage of English grammars
HLT '91 Proceedings of the workshop on Speech and Natural Language
HLT '93 Proceedings of the workshop on Human Language Technology
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
HLT '94 Proceedings of the workshop on Human Language Technology
Overview of the University of Pennsylvania's TIPSTER project: University of Pennsylvania
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Alleviating the Problem of Wrong Coreferences in Web Person Search
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Cross-document event coreference: annotations, experiments, and observations
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Person cross document coreference with name perplexity estimates
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Dynamic parameters for cross document coreferece
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Methods of estimating the number of clusters for person cross document coreference task
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
| Hi-index | 0.00 |
Common evaluations have grown to be a major component of all the ARPA Human Language Technology programs. In the written language community, the largest evaluation program has been the series of Message Understanding Conferences, which began in 1987 [2,3]. These evaluations have focussed on the task of analyzing text and automatically filling templates describing certain classes of events. These conferences have certainly been a major impetus in the development of systems for performing such "information extraction" tasks, and thus in demonstrating the potential practical value of some of the written language processing technology.