Proximal nodes: a model to query document databases by content and structure
ACM Transactions on Information Systems (TOIS)
Integrating contents and structure in text retrieval
ACM SIGMOD Record
Information Extraction: Techniques and Challenges
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Automatic grammar induction and parsing free text: a transformation-based approach
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
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We present a model to describe linguistic patterns regarding their textual contexts. The description of contexts takes into account all the information about text structure and contents. The model is an algebra that manipulates arbitrary regions of text. We show how to use the model to describe linguistic patterns and contextual rules in order to identify semantic information among parts of text.