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Software Details

Title: Shallow Semantic Parser, New Release
Submitter: Sebastian Pado
Description: Dear all,

This is to announce the release 1.1 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. (Further details below.)

Improvements over the previous release (1.0) include:

- Pre-trained English classifiers for FrameNet release 1.3 (i.e. improved
coverage and accuracy)
- Support for TreeTagger as POS Tagger for both English and German
- Removal of numerous bugs

You can download the software from this URL:

Again, please let us know if you have any questions, comments, or suggestions!

Sebastian Pado and Katrin Erk

Purpose of Shalmaneser

Shalmaneser has been developed with two uses in mind: research in
applications that use shallow semantic parses, and research on better
shallow 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.

Features of Shalmaneser

- 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.
Linguistic Field(s): Computational Linguistics

LL Issue: 18.786
Date Posted: 14-Mar-2007

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