Empirical Linguistics and Computational Language Modeling (LiMo)

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Publication Year: 2020

11 to 20 of 27 Results

readme-pretrained.txt Mar 26, 2020 - Pre-trained POS tagging models for German social media Plain Text - 3.1 KB - MD5: 1a3740097d932694d280a13ddab6f2f4 Documentation
A harmonised testsuite for social media POS tagging (DE) Mar 26, 2020 Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "A harmonised testsuite for social media POS tagging (DE)", https://doi.org/10.11588/data/KXLMHN, heiDATA, V1 A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information....
social-media-POS-testsuite.conllu Mar 26, 2020 - A harmonised testsuite for social media POS tagging (DE) Unknown - 2.9 MB - MD5: 8bf35bfb77317b4d789fb0387454f118 Data
Converter for content-to-head style syntactic dependencies Mar 26, 2020 Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc; Frank, Anette, 2020, "Converter for content-to-head style syntactic dependencies", https://doi.org/10.11588/data/HE3BAZ, heiDATA, V1 A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).
convert.zip Mar 26, 2020 - Converter for content-to-head style syntactic dependencies ZIP Archive - 10.1 MB - MD5: 30167cb475d743ced8aa63e6349a99ce CodeDocumentation
readme.txt Mar 26, 2020 - Converter for content-to-head style syntactic dependencies Plain Text - 1.2 KB - MD5: fc57366f049837b691c85a50b3e47b46 Documentation
MACE-AL-TREE Mar 26, 2020 Rehbein, Ines; Ruppenhofer, Josef, 2020, "MACE-AL-TREE", https://doi.org/10.11588/data/THPEBR, heiDATA, V1 An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.
MACE-AL-TREE.zip Mar 26, 2020 - MACE-AL-TREE ZIP Archive - 141.9 KB - MD5: 7de327971177c2124d8f388a19b1c4c6 Code
MACE-AL Mar 26, 2020 Rehbein, Ines; Ruppenhofer, Josef; Steen, Julius, 2020, "MACE-AL", https://doi.org/10.11588/data/C2OQN4, heiDATA, V1 A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.
MACE-AL.zip Mar 26, 2020 - MACE-AL ZIP Archive - 326.8 KB - MD5: 056a7e70a8f8b6e8fa72e3eead763d39 Code

readme-pretrained.txt

Mar 26, 2020 - Pre-trained POS tagging models for German social media

Plain Text - 3.1 KB -

Documentation

A harmonised testsuite for social media POS tagging (DE)

Mar 26, 2020

Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "A harmonised testsuite for social media POS tagging (DE)", https://doi.org/10.11588/data/KXLMHN, heiDATA, V1

A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically converted, based on the STTS pos tags. The data does not contain (manually corrected) lemma information....

social-media-POS-testsuite.conllu

Mar 26, 2020 - A harmonised testsuite for social media POS tagging (DE)

Unknown - 2.9 MB -

Data

Converter for content-to-head style syntactic dependencies

Mar 26, 2020

Rehbein, Ines; Steen, Julius; Do, Bich-Ngoc; Frank, Anette, 2020, "Converter for content-to-head style syntactic dependencies", https://doi.org/10.11588/data/HE3BAZ, heiDATA, V1

A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for adpositions, copula and coordination). For more information, see (Rehbein, Steen, Do & Frank 2017).

convert.zip

Mar 26, 2020 - Converter for content-to-head style syntactic dependencies

ZIP Archive - 10.1 MB -

CodeDocumentation

readme.txt

Mar 26, 2020 - Converter for content-to-head style syntactic dependencies

Plain Text - 1.2 KB -

Documentation

MACE-AL-TREE

Mar 26, 2020

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

An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.

MACE-AL-TREE.zip

Mar 26, 2020 - MACE-AL-TREE

ZIP Archive - 141.9 KB -

Code

MACE-AL

Mar 26, 2020

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

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

MACE-AL.zip

Mar 26, 2020 - MACE-AL

ZIP Archive - 326.8 KB -

Code

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