@conference {15311,
	title = {REXTOR: a system for generating relations from natural language},
	booktitle = {Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11},
	series = {RANLPIR {\textquoteright}00},
	year = {2000},
	month = {2000///},
	pages = {67 - 77},
	publisher = {Association for Computational Linguistics},
	organization = {Association for Computational Linguistics},
	address = {Stroudsburg, PA, USA},
	abstract = {This paper argues that a finite-state language model with a ternary expression representation is currently the most practical and suitable bridge between natural language processing and information retrieval. Despite the theoretical computational inadequacies of finite-state grammars, they are very cost effective (in time and space requirements) and adequate for practical purposes. The ternary expressions that we use are not only linguistically-motivated, but also amenable to rapid large-scale indexing. REXTOR (Relations EXtracTOR) is an implementation of this model; in one uniform framework, the system provides two separate grammars for extracting arbitrary patterns of text and building ternary expressions from them. These content representational structures serve as the input to our ternary expressions indexer. This approach to natural language information retrieval promises to significantly raise the performance of current systems.},
	doi = {10.3115/1117755.1117764},
	url = {http://dx.doi.org/10.3115/1117755.1117764},
	author = {Katz,Boris and Jimmy Lin}
}
