MACE-AL (ICPSR doi:10.11588/data/C2OQN4)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

MACE-AL

Identification Number:

doi:10.11588/data/C2OQN4

Distributor:

heiDATA

Date of Distribution:

2020-03-26

Version:

1

Bibliographic Citation:

Rehbein, Ines; Ruppenhofer, Josef; Steen, Julius, 2020, "MACE-AL", https://doi.org/10.11588/data/C2OQN4, heiDATA, V1

Study Description

Citation

Title:

MACE-AL

Subtitle:

A method for detecting errors in automatic annotations (POS, NER etc.)

Identification Number:

doi:10.11588/data/C2OQN4

Authoring Entity:

Rehbein, Ines (Leibniz Institute for the German Language)

Ruppenhofer, Josef (Leibniz Institute for the German Language)

Steen, Julius (Department of Computational Linguistics, Heidelberg University, Germany)

Date of Production:

2017

Distributor:

heiDATA

Date of Distribution:

2020-03-26

Study Scope

Keywords:

Arts and Humanities, Computer and Information Science, Annotation tool, Annotation noise, Error detection, Automatically annotated text

Topic Classification:

Annotation noise, Error detection in automatic annotations, Error detection for POS, NER etc.

Abstract:

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

Kind of Data:

python code

Methodology and Processing

Other Study-Related Materials

Label:

MACE-AL.zip

Notes:

application/zip