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Patent

An iterative technique for phrase query formation and an information retrieval system employing same

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TLDR
In this paper, an information retrieval system and method are provided in which an operator inputs one or more query words which are used to determine a search key for searching through a corpus of documents, and which returns any matches between the search key and the corpora of documents as a phrase containing the word data matching the query word(s), a non-stop (content) word next adjacent to the matching word data, and all intervening stop-words between the matching data and the next adjacent nonstop word.
Abstract
An information retrieval system and method are provided in which an operator inputs one or more query words which are used to determine a search key for searching through a corpus of documents, and which returns any matches between the search key and the corpus of documents as a phrase containing the word data matching the query word(s), a non-stop (content) word next adjacent to the matching word data, and all intervening stop-words between the matching word data and the next adjacent non-stop word. The operator, after reviewing one or more of the returned phrases can then use one or more of the next adjacent non-stop-words as new query words to reformulate the search key and perform a subsequent search through the document corpus. This process can be conducted iteratively, until the appropriate documents of interest are located. The additional non-stop-words from each phrase are preferably aligned with each other (e.g., by columnation) to ease viewing of the "new" content words.

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References
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Book

Automatic text processing

Gerard Salton
Journal ArticleDOI

Improving Retrieval Performance by Relevance Feedback

TL;DR: Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce query formulations following an initial retrieval operation to demonstrate the effectiveness of the various methods.
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Common Lisp the Language

Guy L. Steele
TL;DR: This greatly expanded edition of the defacto standard is written by the Vice- Chairman of X3J13 (the ANSI committee responsible for the standardization of Common Lisp) and contains the entire text of the first edition plus six completely new chapters.
Journal ArticleDOI

Recent trends in hierarchic document clustering: a critical review

TL;DR: Algorithms that can be used to allow the implementation of hierarchic agglomerative clustering methods for document retrieval, and experimental evidence suggests that nearest neighbor clusters provide a reasonably efficient and effective means of including interdocument similarity information in document retrieval systems.
Journal ArticleDOI

Trainable grammars for speech recognition

TL;DR: This paper presents a generalization of these algorithms to certain denumerable‐state, hidden Markov processes that permits automatic training of the stochastic analog of an arbitrary context free grammar.