Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Automatically evaluating answers to definition questions
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Nuggeteer: automatic nugget-based evaluation using descriptions and judgements
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Heuristic algorithm for extraction of facts using relational model and syntactic data
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Hi-index | 0.00 |
In this paper we describe automatic information nuggetization and its application to text comparison. More specifically, we take a close look at how machine-generated nuggets can be used to create evaluation material. A semiautomatic annotation scheme is designed to produce gold-standard data with exceptionally high inter-human agreement.