DM: ML Papers & Cora: Two search engines for postscript papers

[Andrew McCallum]

[Apologies for multiple postings; we hope this is of interest.]

We are pleased to announce the availability of two search engines
for Postscript papers on the Web.  "ML Papers" provides access to
Machine Learning papers.  "Cora" provides access to papers on
computer science as a whole.  Both allow keyword searches over
partial text of postscript-formatted papers they have found by
spidering the Web.

  * For ML Papers:     http://gubbio.cs.berkeley.edu/mlpapers/
  * For Cora:          http://www.cora.justresearch.com


About ML Papers:

"ML Papers", first released in 1997, is a search engine that
automatically extracts titles, authors and abstracts from postscript
papers found on the Web; it was (to our knowledge) the first
publically available search engine of such a form.  Its index
currently consists about 12,000 postscript papers, mostly related to
Machine Learning, Datamining, Statistics, etc, and a Web interface
provides search functionality over them.  Links to postscripts
and their referring pages are returned in response to queries, and
titles/authors/abstracts of these papers are also displayed.  
You can see ML Papers at http://gubbio.cs.berkeley.edu/mlpapers/

"ML Papers," which was recently moved from MIT to UC Berkeley, was
created by Andrew Ng.  Its companion "Vision Papers" search engine can
also be accessed at http://www.ai.mit.edu/people/ayn/cgi/vpapers.


About Cora:

"Cora" provides access to over 50,000 research papers on all computer
science subjects.  Search queries can include special operators such
as +, -, "", title:, author:, reference:, and url:, (all with their
typical meanings).  Citation references have been processed to 
provide forward and backward crosslinks---showing both (1) papers
referenced by the current paper, and (2) papers that reference the
current paper.  References have also been parsed in order to provide
automatically-generated BibTeX entries.  The papers are categorized
into a "Yahoo-like" topic hierarchy with 75 leaves.  In the near
future, the citation structure will be analyzed in order to
automatically identify seminal and survey articles in each category.
Cora is at http://www.cora.justresearch.com

"Cora" is the result of a continuing research project at Just 
Research, 
led by Andrew McCallum with interns Kamal Nigam, Jason Rennie and
Kristie Seymore.  Just Research is the U.S. research organization of
Justsystem Corporation, the leading independent software company in
Japan, and is located near the Carnegie Mellon campus.  A paper
describing Cora will be presented at the AAAI Spring Symposium, and
can be found at 
http://www.cs.cmu.edu/~mccallum/papers/cora-aaaiss98.ps.


Feel free to share this announcement with others.  Enjoy and please
send feedback.

  Andrew Ng
  ang@cs.berkeley.edu
  "ML Papers"

  Andrew McCallum
  mccallum@justresearch.com, mccallum@cs.cmu.edu
  "Cora"