CFP

Editors: James Hammerton james.hammerton@ucd.ie, University College Dublin
Miles Osborne osborne@cogsci.ed.ac.uk, University of Edinburgh
Susan Armstrong susan.armstrong@issco.unige.ch, University of Geneva
Walter Daelemans walter.daelemans@uia.ua.ac.be, University of Antwerp

The Journal of Machine Learning Research invites authors to submit
papers for the Special Issue on Machine Learning approaches to Shallow
Parsing.

Background
----------

Over the last decade there has been an increased interest in applying
machine learning techniques to corpus-based natural language
processing. In particular many techniques have been applied to shallow
parsing of large corpora, where rather than produce a detailed
syntactic or semantic analysis of each sentence, key parts of the
syntactic structure or key pieces of semantic information are
identified or extracted. For example, such tasks include identifying
the noun phrases in a text, extracting non-overlapping chunks of text
that identify the major phrases in a sentence or extracting the
subject, main verb and object from a sentence.

Applications of shallow parsing include data mining from unstructured
textual material (e.g. web pages, newswires), information extraction,
question answering, automated annotation of linguistic corpora and the
preprocessing of data for linguistic tasks such as machine translation
or full scale parsing.

For further details, including the submission guidelines, see:

http://www.ai.mit.edu/projects/jmlr/special/parsing.html

Key dates
---------

Submission deadline: 2nd September 2001

Notification of acceptance: 16th November 2001

Final drafts: 3rd February 2002