Dear all,
this is to announce the first release of Shalmaneser (a SHALlow
seMANtic parSER), a system for automatic sense assignment and semantic
role labeling. Shalmaneser comes with pre-trained FrameNet classifiers
for English and German.
You can download Shalmaneser from
http://www.coli.uni-saarland.de/projects/salsa/shal/
Shalmaneser has been developed with two uses in mind: research in
applications that use semantic parses, and research on better semantic
parsing. So Shalmaneser can be used either as a ``black box'' to
obtain semantic parses for free text, or as a research platform that
can be extended to new parsers, languages, or classification
paradigms.
Some features of the system:
- Shallow semantic parser: word sense disambiguation for predicates,
plus semantic role labeling
- Input: plain text. Syntactic processing integrated
- Classifiers available: trained on FrameNet data for English and German
(System also applicable to other frameworks)
- System output can be viewed graphically in the SALTO viewer:
http://www.coli.uni-saarland.de/projects/salsa/page.php?id=software
- System realized as a toolchain of independent modules communicating
through a common XML format -- hence extensible by further modules
- Interfaces for addition/exchange of parsers, learners, features
More information:
K. Erk and S. Pado: Shalmaneser - a flexible toolbox for semantic role
assignment. Proceedings of LREC-06, Genoa.
http://www.coli.uni-saarland.de/~pado/pub/papers/lrec06_erk.pdf
Please check it out, and let us know if you have any questions, comments,
or suggestions!
Katrin and Sebastian
---
Katrin Erk, Sebastian Pado
http://www.coli.uni-saarland.de/~{erk, pado}
SALSA Project
Computational Linguistics
Saarland University, Saarbruecken, Germany
this is to announce the first release of Shalmaneser (a SHALlow
seMANtic parSER), a system for automatic sense assignment and semantic
role labeling. Shalmaneser comes with pre-trained FrameNet classifiers
for English and German.
You can download Shalmaneser from
http://www.coli.uni-saarland.de/projects/salsa/shal/
Shalmaneser has been developed with two uses in mind: research in
applications that use semantic parses, and research on better semantic
parsing. So Shalmaneser can be used either as a ``black box'' to
obtain semantic parses for free text, or as a research platform that
can be extended to new parsers, languages, or classification
paradigms.
Some features of the system:
- Shallow semantic parser: word sense disambiguation for predicates,
plus semantic role labeling
- Input: plain text. Syntactic processing integrated
- Classifiers available: trained on FrameNet data for English and German
(System also applicable to other frameworks)
- System output can be viewed graphically in the SALTO viewer:
http://www.coli.uni-saarland.de/projects/salsa/page.php?id=software
- System realized as a toolchain of independent modules communicating
through a common XML format -- hence extensible by further modules
- Interfaces for addition/exchange of parsers, learners, features
More information:
K. Erk and S. Pado: Shalmaneser - a flexible toolbox for semantic role
assignment. Proceedings of LREC-06, Genoa.
http://www.coli.uni-saarland.de/~pado/pub/papers/lrec06_erk.pdf
Please check it out, and let us know if you have any questions, comments,
or suggestions!
Katrin and Sebastian
---
Katrin Erk, Sebastian Pado
http://www.coli.uni-saarland.de/~{erk, pado}
SALSA Project
Computational Linguistics
Saarland University, Saarbruecken, Germany
