Data publications of the Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling”

The Leibniz ScienceCampus “Empirical Linguistics and Computational Language Modeling” (LiMo) is a cooperative research project between the Leibniz Institute for the German Language (Leibniz-Institut für Deutsche Sprache, IDS) in Mannheim and the Department of Computational Linguistics at Heidelberg University (ICL). The general aims of the project are to develop new methods, models, and tools for compiling and analysing automatically large German textual corpora covering different domains, genres and language varieties.

The project is supported by funds from the Baden-Württemberg Ministry of Science, Research and the Arts and the Leibniz Association together with funds provided by the Leibniz Institute for the German Language and Heidelberg University.

Funding Period: 2015 – 2020

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1 to 10 of 57 Results
quamr.zip
Jul 12, 2019 - AMR parse quality prediction [Source Code]
ZIP Archive - 12.7 MB - MD5: 7057006601db4c004d0f5e041e508e08
CodeData
demodify.data_split.tsv
Jul 15, 2019 - DeModify
Tab-Separated Values - 112.2 KB - MD5: 9859efc83ee0b6a30af19448be4d6f0b
Data
demodify.tsv
Jul 15, 2019 - DeModify
Tab-Separated Values - 5.1 MB - MD5: 12bab5c05a384c4fbe64c9afd81f9c6d
Data
README
Jul 15, 2019 - DeModify
Plain Text - 2.7 KB - MD5: f4d3244cd7ed0511b580c40dda38fa26
Documentation
acl-201302_word-resegmented.tar.gz
Jul 15, 2019 - ACL word segmentation correction
Gzip Archive - 371.1 MB - MD5: 96d089771cde56bb9ac5296189fb403b
Data
text files
README
Jul 15, 2019 - ACL word segmentation correction
Plain Text - 782 B - MD5: b305fd3ce016837f601aa137fd8ecf63
Documentation
AbstractGraphs_Garder2014data.tar.gz
Jul 15, 2019 - Abstract graphs, abstract paths, grounded paths for Freebase and NELL
Gzip Archive - 2.5 GB - MD5: dc2a64fb2d88cccf5e62d9400cbca1af
Data
AbstractPathsGroundedPaths.tar.gz
Jul 15, 2019 - Abstract graphs, abstract paths, grounded paths for Freebase and NELL
Gzip Archive - 204.7 MB - MD5: 6dfafe4e7d5b29a882b59f43ec9eb4ae
Data
README_AbstractGraphs.txt
Jul 15, 2019 - Abstract graphs, abstract paths, grounded paths for Freebase and NELL
Plain Text - 2.7 KB - MD5: 4c073cf79f74569a44e3687f97b0be91
kge-rl-master.zip
Aug 19, 2019 - KGE Algorithms
ZIP Archive - 19.4 KB - MD5: d2e8ac74e3f20d2cdec2225962c7e2f0
Code
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