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Title: First Release: Shallow Semantic Parser
Submitter: Katrin Erk
Description: 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

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:
- 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.

Please check it out, and let us know if you have any questions, comments,
or suggestions!

Katrin and Sebastian

Katrin Erk, Sebastian Pado{erk, pado}
SALSA Project
Computational Linguistics
Saarland University, Saarbruecken, Germany
Linguistic Field(s): Computational Linguistics
Text/Corpus Linguistics

Language Specialty: English

LL Issue: 17.1984
Date Posted: 07-Jul-2006

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