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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31 to 40 of 185 Results
README
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 3.1 KB - MD5: b9c05f15f634687c473e65f267b32c92
Documentation
sentiment_views.adj.txt
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 41.9 KB - MD5: da9c01785d8534555aaa1e972776537f
Data
sentiment_views.noun.txt
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 27.3 KB - MD5: 0c7cee77b6e00b86a6bb0c617e0f49c9
Data
sentiment_views.verb.txt
Sep 5, 2019 - Sentiment View Lexicon (EN)
Plain Text - 16.7 KB - MD5: fe12c4d04955984bbe5d8ea2a2cebeb9
Data
Sentiment Compound Data (DE)
Sentiment Compound Data (DE)
Sep 5, 2019
Wiegand, Michael; Bocionek, Christine; Ruppenhofer, Josef, 2019, "Sentiment Compound Data (DE)", https://doi.org/10.11588/data/LSTRK3, heiDATA, V1
This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.
holderVsTarget.gold.txt
Sep 5, 2019 - Sentiment Compound Data (DE)
Plain Text - 34.6 KB - MD5: 13ac9f60aa9ba2fbb42d0b9d2b9f6e2f
Data
LICENSE
Sep 5, 2019 - Sentiment Compound Data (DE)
Plain Text - 18.2 KB - MD5: 4a17ffc27c9f3b240fbf4fe17783c89c
Documentation
README
Sep 5, 2019 - Sentiment Compound Data (DE)
Plain Text - 3.4 KB - MD5: 5900f0947dba284902650ebd6b5fb2a6
Documentation
README
Sep 5, 2019 - Sentiment Compound Data (DE)
Plain Text - 4.1 KB - MD5: a9954351d3510f45cfead5e27dd7060a
Documentation
roleVsNoRole.gold.txt
Sep 5, 2019 - Sentiment Compound Data (DE)
Plain Text - 68.6 KB - MD5: c8273f43236ed7f1b6de13d422997f30
Data
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