MACE-AL

DOI

A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.

Identifier
DOI https://doi.org/10.11588/DATA/C2OQN4
Related Identifier IsCitedBy https://www.aclweb.org/anthology/P17-1107.pdf
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/DATA/C2OQN4
Provenance
Creator Rehbein, Ines; Ruppenhofer, Josef; Steen, Julius
Publisher heiDATA
Contributor Rehbein, Ines
Publication Year 2020
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Rehbein, Ines (Leibniz Institute for the German Language)
Representation
Resource Type python code; Dataset
Format application/zip
Size 334604
Version 1.0
Discipline Humanities
Spatial Coverage Leibniz Institute for the German Language