The file uttr366.ps contains the CSRI technical report: 
 
		  Automatically generating hypertext
		   by computing semantic similarity
 
                                  by
 
			   Stephen J. Green
 
 
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			       Abstract
			       --------

We describe a novel method for automatically generating hypertext
links within and between newspaper articles.  The method is based on
lexical chaining, a technique for extracting the sets of related words
that occur in texts.  Links between the paragraphs of a single article
are built by considering the distribution of the lexical chains in that
article.  Links between articles are built by considering how the
chains in the two articles are related.  By using lexical chaining we
mitigate the problems of synonymy and polysemy that plague traditional
information retrieval approaches to automatic hypertext generation.

In order to motivate our research, we discuss the results of a study
that shows that humans are inconsistent when assigning hypertext links
within newspaper articles.  Even if humans were consistent, the time
needed to build a large hypertext and the costs associated with the
production of such a hypertext make relying on human linkers an
untenable decision.  Thus we are left to automatic hypertext
generation.

Because we wish to determine how our hypertext generation methodology
performs when compared to other proposed methodologies, we present a
study comparing the hypertext linking methodology that we propose with
a methodology based on a traditional information retreival approach.
In this study, subjects were asked to perform a question-answering
task using a combination of links generated by our methodology and the
competing methodology.  We show combined results for all subjects
tested, along with results based on subjects' experience in using the
World Wide Web.

We detail the construction of a system for performing automatic
hypertext generation in the context of an online newspaper.  The
proposed system is fully capable of handling large databases of news
articles in an efficient manner.