LINGUIST List 17.1984

Fri Jul 07 2006

Software: First Release: Shallow Semantic Parser

Editor for this issue: Svetlana Aksenova <>

Directory         1.    Katrin Erk, First Release: Shallow Semantic Parser

Message 1: First Release: Shallow Semantic Parser
Date: 07-Jul-2006
From: Katrin Erk <>
Subject: First Release: Shallow Semantic Parser

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 Semantics Syntax Text/Corpus Linguistics

Subject Language(s): English (eng) German, Standard (deu)