Attachment #36563 for bug #58552

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#

PORTNAME=	WordNet-Similarity
PORTVERSION=	0.06
CATEGORIES=	textproc perl5
MASTER_SITES=	${MASTER_SITE_PERL_CPAN}
MASTER_SITE_SUBDIR=	WordNet
PKGNAMEPREFIX=	p5-

MAINTAINER=	clsung@dragon2.net
COMMENT=	Modules/CLI to determine semantic relatedness using the WordNet

BUILD_DEPENDS=	${SITE_PERL}/WordNet/QueryData.pm:${PORTSDIR}/textproc/p5-WordNet-QueryData \
		${SITE_PERL}/${PERL_ARCH}/BerkeleyDB.pm:${PORTSDIR}/databases/p5-BerkeleyDB
RUN_DEPENDS=	${BUILD_DEPENDS}

WNHOME?=	${LOCALBASE}/share/WordNet-1.7.1

		WordNet::Similarity::hso.3 WordNet::Similarity::vector.3 \
		WordNet::Similarity::random.3 WordNet::Similarity::res.3 \
		WordNet::Similarity::lesk.3 WordNet::Similarity::edge.3 \
		WordNet::Similarity::lin.3 WordNet::Similarity::lch.3 \
		WordNet::Similarity::wup.3

post-patch:
	@${REINPLACE_CMD} -e  \
		'/wnUnixPath/s|/usr/local/WordNet-1.7.1|${WNHOME}|; \

Line 1 Link Here

(-)./p5-WordNet-Similarity/distinfo (-1 / +1 lines)
1	MD5 (WordNet-Similarity-0.05.tar.gz) = dc82c6c971a480f3a082f6d9f1233d4a	1	MD5 (WordNet-Similarity-0.06.tar.gz) = fffa8d18a5fe9e361825beca852fbbcd




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), Wu Palmer (1994), the adapted gloss overlap measure by 
Banerjee and Pedersen (2002), and a measure based on context vectors
by Patwardhan (2003). The details of the Vector measure are described in the
Master's thesis work done by Patwardhan (2003) at the University of Minnesota
Duluth. The  Perl modules are designed as objects 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. 
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.

WWW: http://search.cpan.org/dist/WordNet-Similarity/

Lines 7-12 Link Here

(-)./p5-WordNet-Similarity/pkg-plist (+2 lines)
7	bin/wordVectors.pl	7	bin/wordVectors.pl
8	bin/treebankFreq.pl	8	bin/treebankFreq.pl
9	bin/compounds.pl	9	bin/compounds.pl
		10	bin/readDB.pl
10	%%SITE_PERL%%/dbInterface.pm	11	%%SITE_PERL%%/dbInterface.pm
11	%%SITE_PERL%%/get_wn_info.pm	12	%%SITE_PERL%%/get_wn_info.pm
12	%%SITE_PERL%%/stem.pm	13	%%SITE_PERL%%/stem.pm
Lines 22-27 Link Here
22	%%SITE_PERL%%/WordNet/Similarity/jcn.pm	23	%%SITE_PERL%%/WordNet/Similarity/jcn.pm
23	%%SITE_PERL%%/WordNet/Similarity/lch.pm	24	%%SITE_PERL%%/WordNet/Similarity/lch.pm
24	%%SITE_PERL%%/WordNet/Similarity/res.pm	25	%%SITE_PERL%%/WordNet/Similarity/res.pm
		26	%%SITE_PERL%%/WordNet/Similarity/wup.pm
25	%%SITE_PERL%%/WordNet/Similarity/vector.pm	27	%%SITE_PERL%%/WordNet/Similarity/vector.pm
26	%%SITE_PERL%%/%%PERL_ARCH%%/auto/WordNet/Similarity/.packlist	28	%%SITE_PERL%%/%%PERL_ARCH%%/auto/WordNet/Similarity/.packlist
27	@unexec rmdir %D/%%SITE_PERL%%/%%PERL_ARCH%%/auto/WordNet/Similarity 2>/dev/null \|\| true	29	@unexec rmdir %D/%%SITE_PERL%%/%%PERL_ARCH%%/auto/WordNet/Similarity 2>/dev/null \|\| true

Return to bug 58552

Lines 6-21 Link Here

(-)./p5-WordNet-Similarity/Makefile (-5 / +8 lines)
6	#	6	#
7		7
8	PORTNAME= WordNet-Similarity	8	PORTNAME= WordNet-Similarity
9	PORTVERSION= 0.05	9	PORTVERSION= 0.06
10	CATEGORIES= textproc perl5	10	CATEGORIES= textproc perl5
11	MASTER_SITES= ${MASTER_SITE_PERL_CPAN}	11	MASTER_SITES= ${MASTER_SITE_PERL_CPAN}
12	MASTER_SITE_SUBDIR= WordNet	12	MASTER_SITE_SUBDIR= WordNet
13	PKGNAMEPREFIX= p5-	13	PKGNAMEPREFIX= p5-
14		14
15	MAINTAINER= ports@FreeBSD.org	15	MAINTAINER= clsung@dragon2.net
16	COMMENT= Modules and a CLI to determine semantic relatedness using the WordNet database	16	COMMENT= Modules/CLI to determine semantic relatedness using the WordNet
17		17
18	BUILD_DEPENDS= ${SITE_PERL}/WordNet/QueryData.pm:${PORTSDIR}/textproc/p5-WordNet-QueryData	18	BUILD_DEPENDS= ${SITE_PERL}/WordNet/QueryData.pm:${PORTSDIR}/textproc/p5-WordNet-QueryData \
		19	${SITE_PERL}/${PERL_ARCH}/BerkeleyDB.pm:${PORTSDIR}/databases/p5-BerkeleyDB
19	RUN_DEPENDS= ${BUILD_DEPENDS}	20	RUN_DEPENDS= ${BUILD_DEPENDS}
20		21
21	WNHOME?= ${LOCALBASE}/share/WordNet-1.7.1	22	WNHOME?= ${LOCALBASE}/share/WordNet-1.7.1
Lines 28-34 Link Here
28	WordNet::Similarity::hso.3 WordNet::Similarity::vector.3 \	29	WordNet::Similarity::hso.3 WordNet::Similarity::vector.3 \
29	WordNet::Similarity::random.3 WordNet::Similarity::res.3 \	30	WordNet::Similarity::random.3 WordNet::Similarity::res.3 \
30	WordNet::Similarity::lesk.3 WordNet::Similarity::edge.3 \	31	WordNet::Similarity::lesk.3 WordNet::Similarity::edge.3 \
31	WordNet::Similarity::lin.3 WordNet::Similarity::lch.3	32	WordNet::Similarity::lin.3 WordNet::Similarity::lch.3 \
		33	WordNet::Similarity::wup.3
		34
32	post-patch:	35	post-patch:
33	@${REINPLACE_CMD} -e \	36	@${REINPLACE_CMD} -e \
34	'/wnUnixPath/s\|/usr/local/WordNet-1.7.1\|${WNHOME}\|; \	37	'/wnUnixPath/s\|/usr/local/WordNet-1.7.1\|${WNHOME}\|; \

Lines 1-27 Link Here

(-)./p5-WordNet-Similarity/pkg-descr (-22 / +18 lines)
1	From the README:	1	This package consists of Perl modules along with supporting Perl programs
2		2	that implement the semantic relatedness measures described by Leacock
3	This package consists of Perl modules along with supporting Perl programs that	3	Chodorow (1998), Jiang Conrath (1997), Resnik (1995), Lin (1998), Hirst St
4	implement the semantic relatedness measures described by Leacock Chodorow	4	Onge (1998), Wu Palmer (1994), the adapted gloss overlap measure by
5	(1998), Jiang Conrath (1997), Resnik (1995), Lin (1998), Hirst St Onge (1998)	5	Banerjee and Pedersen (2002), and a measure based on context vectors
6	and the adapted gloss overlap measure by Banerjee and Pedersen (2002). The Perl	6	by Patwardhan (2003). The details of the Vector measure are described in the
7	modules are designed as object classes with methods that take as input two word	7	Master's thesis work done by Patwardhan (2003) at the University of Minnesota
8	senses. The semantic relatedness of these word senses is returned by these	8	Duluth. The Perl modules are designed as objects with methods that take as
9	methods. A quantitative measure of the degree to which two word senses are	9	input two word senses. The semantic relatedness of these word senses is
10	related has wide ranging applications in numerous areas, such as word sense	10	returned by these methods. A quantitative measure of the degree to which two
11	disambiguation, information retrieval, etc. For example, in order to determine	11	word senses are related has wide ranging applications in numerous areas, such
12	which sense of a given word is being used in a particular context, the sense	12	as word sense disambiguation, information retrieval, etc. For example, in
13	having the highest relatedness with its context word senses is most likely to	13	order to determine which sense of a given word is being used in a particular
14	be the sense being used. Similarly, in information retrieval, retrieving	14	context, the sense having the highest relatedness with its context word
15	documents containing highly related concepts are more likely to have higher	15	senses is most likely to be the sense being used. Similarly, in information
16	precision and recall values.	16	retrieval, retrieving documents containing highly related concepts are more
		17	likely to have higher precision and recall values.
17		18
18	A command line interface to these modules is also present in the package. The	19	A command line interface to these modules is also present in the package. The
19	simple, user-friendly interface returns the relatedness measure of two given	20	simple, user-friendly interface returns the relatedness measure of two given
20	words. A number of switches and options have been provided to modify the output	21	words.
21	and enhance it with trace information and other useful output. Details of the
22	usage are provided in other sections of this README. Supporting utilities for
23	generating information content files from various corpora are also available in
24	the package. The information content files are required by three of the
25	measures for computing the relatedness of concepts.
26		22
27	WWW: http://search.cpan.org/dist/WordNet-Similarity/	23	WWW: http://search.cpan.org/dist/WordNet-Similarity/