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
demodify.tsv
Jul 15, 2019 - DeModify
Tab-Separated Values - 5.1 MB - MD5: 12bab5c05a384c4fbe64c9afd81f9c6d
Data
embeddings.tar.gz
Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings
Gzip Archive - 40.5 MB - MD5: 2256cc7718eb340cdf0941dd8e41db9e
Data
embeddings.tar.gz
Nov 13, 2023 - Topological Field Labeler for German
Gzip Archive - 40.5 MB - MD5: 2256cc7718eb340cdf0941dd8e41db9e
Data
embeddings.tar.gz
Nov 13, 2023 - Neural Rerankers for Dependency Parsing
Gzip Archive - 93.1 MB - MD5: f2ed8e0973b3953701d0193e597737b4
Data
embeddings.tar.gz
Nov 13, 2023 - Neural PP Attachment Disambiguation Systems
Gzip Archive - 59.5 MB - MD5: 4700c7cdbf7ed1ae4901c079d3202b25
Data
en-gcn.tar.gz
Nov 13, 2023 - Neural Rerankers for Dependency Parsing
Gzip Archive - 23.8 MB - MD5: a87f5b576b0c021a0801ebc8e6c83d7c
Data
en-ptb-forest10.tar.gz
Nov 13, 2023 - Datasets for Dependency Tree Reranking
Gzip Archive - 11.1 MB - MD5: 854d27091e1be9fc2bd3505fa5ec97a5
Data
en-ptb-forest64.tar.gz
Nov 13, 2023 - Datasets for Dependency Tree Reranking
Gzip Archive - 35.0 MB - MD5: 6d218b2ea37fe551338634e6d77aeb05
Data
en-rcnn-shared.tar.gz
Nov 13, 2023 - Neural Rerankers for Dependency Parsing
Gzip Archive - 17.8 MB - MD5: 0697f8c0662f6548b6dd06b1680a09df
Data
en-rcnn.tar.gz
Nov 13, 2023 - Neural Rerankers for Dependency Parsing
Gzip Archive - 113.7 MB - MD5: 81c3265a0c8b9fbe73f790d353289a77
Data
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