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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11 to 20 of 148 Results
kge-rl-master.zip
Aug 19, 2019 - Negative Sampling for Learning Knowledge Graph Embeddings
ZIP Archive - 19.4 KB - MD5: d2e8ac74e3f20d2cdec2225962c7e2f0
Code
twitter_titling_corpus.tab
Aug 23, 2019 - Twitter Titling Corpus
Tabular Data - 219.0 KB - 5 Variables, 4002 Observations - UNF:6:+F3lLKziwMvjy+xyktkilw==
Data
german-opinon-role-extractor-master.zip
Sep 2, 2019 - Opinion role extractor
ZIP Archive - 20.8 MB - MD5: 6704c06c5a8566eb05c3a8e0e0baebc2
Code
README
Sep 2, 2019 - Opinion role extractor
Plain Text - 13.0 KB - MD5: c4eb5b271a38da142c703216f9648f09
Documentation
lexicon-of-abusive-words-master.zip
Sep 2, 2019 - Lexicon of Abusive Words (EN)
ZIP Archive - 738.4 KB - MD5: 46f33f5b7a9c866b1a2fb6dc956b945d
README.md
Sep 2, 2019 - Lexicon of Abusive Words (EN)
Markdown Text - 4.4 KB - MD5: 3cbbac5ff1534a6e9c3fcc9a1b0be976
Documentation
GermEval-2018-Data-master.zip
Sep 2, 2019 - GermEval-2018 Corpus (DE)
ZIP Archive - 14.8 MB - MD5: 6471a35acf802906383e6d19e5241b37
Code
README.md
Sep 2, 2019 - GermEval-2018 Corpus (DE)
Markdown Text - 2.1 KB - MD5: 82583130d72db06eb5fe686c1a8338ac
Documentation
LICENSE
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 18.2 KB - MD5: 4a17ffc27c9f3b240fbf4fe17783c89c
Documentation
README
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 3.1 KB - MD5: b9c05f15f634687c473e65f267b32c92
Documentation
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