The aim of automatic Indexing Is to achieve a compact representation of a document suitable for retrieval. FASIT (Fully Automatic Syntactically based Indexing of Text) Identifies content bearing textual units without a full parse, and, without using semantic criteria, groups these units Into quaslsynonymous sets. Tested on a database of 250 documents and 22 queries, FASIT performed better than both thesaurus and stem based Indexing systems. Retrievals Indicate that the basic Idea of FASIT—that significant terms In the text can be Identified through syntactic patterns—Is valid and that FASIT deserves serious consideration as an advance over stem based systems.

No abstract

No abstract

A technique is described for automatic reformulation of boolean queries. Based on patron relevance judgements of an initial retrieval, prevalence measures are derived for terms appearing in the retrieved set of documents that reflect a term's distribution among the relevant and non‐relevant documents. These measures are then used to guide the construction of a boolean query for a subsequent retrieval. To illustrate the technique, a series of tests is described of its application to a small data base in an experimental environment. Results compare favourably with feedback as employed in a SMART‐type system. More extensive testing is suggested to validate the technique.

High cholesterol adversely affects RNFL thickness in patients with MS with ON.