Creating segmented databases from free text for text retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
MURAX: a robust linguistic approach for question answering using an on-line encyclopedia
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Using Statistical Methods to Improve Knowledge-Based News Categorization
IEEE Expert: Intelligent Systems and Their Applications
Inferential Information Extraction
Information Extraction: Towards Scalable, Adaptable Systems
Acquiring knowledge from encyclopedic texts
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Joining statistics with NLP for text categorization
ANLC '92 Proceedings of the third conference on Applied natural language processing
Robust processing of real-world natural-language texts
ANLC '92 Proceedings of the third conference on Applied natural language processing
Finite-state phrase parsing by rule sequences
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
BBN PLUM: MUC-3 test results and analysis
MUC3 '91 Proceedings of the 3rd conference on Message understanding
GE NLTooLSET: MUC-3 test results and analysis
MUC3 '91 Proceedings of the 3rd conference on Message understanding
GE: description of the NLTooLSET system as used for MUC-3
MUC3 '91 Proceedings of the 3rd conference on Message understanding
Mitre-Bedford: description of the Alembic system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
GE NLToolset: description of the system as used for MUC-4
MUC4 '92 Proceedings of the 4th conference on Message understanding
Sterling software: an NLToolset-based system for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
A new approach to text understanding
HLT '91 Proceedings of the workshop on Speech and Natural Language
Compositional question answering: A divide and conquer approach
Information Processing and Management: an International Journal
A lexico-semantic pattern language for learning ontology instances from text
Web Semantics: Science, Services and Agents on the World Wide Web
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Ordinarily, one thinks of the problem of natural language understanding as one of making a single, left-to-right pass through an input, producing a progressively refined and detailed interpretation. In text interpretation, however, the constraints of strict left-to-right processing are an encumbrance. Multi-pass methods, especially by interpreting words using corpus data and associating units of text with possible interpretations, can be more accurate and faster than single-pass methods of data extraction. Quality improves because corpus-based data and global context help to control false interpretations; speed improves because processing focuses on relevant sections.The most useful forms of pre-processing for text interpretation use fairly superficial analysis that complements the style of ordinary parsing but uses much of the same knowledge base. Lexico-semantic pattern matching, with rules that combine lexical analysis with ordering and semantic categories, is a good method for this form of analysis. This type of pre-processing is efficient, takes advantage of corpus data, prevents many garden paths and fruitless parses, and helps the parser cope with the complexity and flexibility of real text.