research product . program source code . 2020

MACE-AL-TREE A method for error detection in dependency parse trees

Rehbein, Ines (Leibniz Institute for the German Language); Ruppenhofer, Josef (Leibniz Institute for the German Language);
  • Published: 01 Jan 2020
  • Publisher: heiDATA
Abstract
An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.
Subjects
free text keywords: Annotation error, Annotation noise, Arts and Humanities, Computer and Information Science, Dependency parse tree, Error detection, Error detection in automatic parse trees, Error detection in parser output, Noisy data, Parsing, Tool, Treebanks, Humanities
Communities
Digital Humanities and Cultural Heritage
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program source code . 2020
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