Shalmaneser - A Toolchain For Shallow Semantic Parsing

Katrin Erk, Sebastian Padó


Abstract
This paper presents Shalmaneser, a software package for shallow semantic parsing, the automatic assignment of semantic classes and roles to free text. Shalmaneser is a toolchain of independent modules communicating through a common XML format. System output can be inspected graphically. Shalmaneser can be used either as a “black box” to obtain semantic parses for new datasets (classifiers for English and German frame-semantic analysis are included), or as a research platform that can be extended to new parsers, languages, or classification paradigms.
Anthology ID:
L06-1323
Volume:
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Month:
May
Year:
2006
Address:
Genoa, Italy
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/537_pdf.pdf
DOI:
Bibkey:
Cite (ACL):
Katrin Erk and Sebastian Padó. 2006. Shalmaneser - A Toolchain For Shallow Semantic Parsing. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
Shalmaneser - A Toolchain For Shallow Semantic Parsing (Erk & Padó, LREC 2006)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/537_pdf.pdf