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non port: textproc/p5-WordNet-Similarity/pkg-descr

Number of commits found: 5

Wednesday, 7 Sep 2022
21:58 Stefan Eßer (se) search for other commits by this committer
Remove WWW entries moved into port Makefiles

Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.

This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.

Approved by:		portmgr (tcberner)
commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 fb16dfe
Sunday, 27 May 2018
20:15 sunpoet search for other commits by this committer
Update WWW

search.cpan.org is shutting down.
It will redirect to metacpan.org after June 25, 2018.

With hat:	perl
Original commitRevision:470993 
Thursday, 19 May 2016
10:53 amdmi3 search for other commits by this committer
- Fix trailing whitespace in pkg-descrs, categories [p-x]*

Approved by:	portmgr blanket
Original commitRevision:415500 
Tuesday, 28 Oct 2003
15:16 foxfair search for other commits by this committer
PR:             58552
Submitted by:   Cheng-Lung Sung <clsung@dragon2.net>
Update port from 0.05 to 0.06, and add BUILD_DEPENDS of BerkeleyDB.pm,
Assign maintainership to the submitter.
Original commit
Tuesday, 8 Jul 2003
01:16 adamw search for other commits by this committer
Add p5-WordNet-Similarity.

This package consists of Perl modules along with supporting Perl programs that
implement the semantic relatedness measures described by Leacock Chodorow
(1998), Jiang Conrath (1997), Resnik (1995), Lin (1998), Hirst St Onge (1998)
and the adapted gloss overlap measure by Banerjee and Pedersen (2002). The Perl
modules are designed as object classes with methods that take as input two word
senses. The semantic relatedness of these word senses is returned by these
methods. A quantitative measure of the degree to which two word senses are
related has wide ranging applications in numerous areas, such as word sense
disambiguation, information retrieval, etc. For example, in order to determine
which sense of a given word is being used in a particular context, the sense
having the highest relatedness with its context word senses is most likely to
be the sense being used. Similarly, in information retrieval, retrieving
documents containing highly related concepts are more likely to have higher
precision and recall values.

A command line interface to these modules is also present in the package. The
simple, user-friendly interface returns the relatedness measure of two given
words. A number of switches and options have been provided to modify the output
and enhance it with trace information and other useful output. Details of the
usage are provided in other sections of this README. Supporting utilities for
generating information content files from various corpora are also available in
the package. The information content files are required by three of the
measures for computing the relatedness of concepts.
Original commit

Number of commits found: 5