Empirical Linguistics and Computational Language Modeling (LiMo)

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1 to 10 of 85 Results

X-SRL Dataset and mBERT Word Aligner Feb 17, 2021 Daza, Angel, 2021, "X-SRL Dataset and mBERT Word Aligner", https://doi.org/10.11588/data/HVXXIJ, heiDATA, V1 This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English sentences) into the target side (for example a German translation of th...
README.md Feb 17, 2021 - X-SRL Dataset and mBERT Word Aligner Markdown Text - 6.0 KB - MD5: 00d9aab1a8323bf228abd46cd51a666b Documentation
xsrl_mbert_aligner.zip Feb 17, 2021 - X-SRL Dataset and mBERT Word Aligner ZIP Archive - 37.7 KB - MD5: 6b35c476556dfdb2b9b25a7a1cdc755d Code
German Twitter Titling Corpus Jan 20, 2021 van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2020, "German Twitter Titling Corpus", https://doi.org/10.11588/data/AOSUY6, heiDATA, V2, UNF:6:14BxjwJS7Q3mfI6ei7iBBw== [fileUNF] The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a...
GTTC_addendum.tab Jan 20, 2021 - German Twitter Titling Corpus Tab-Delimited - 19.7 KB - MD5: 0f6e049cae118929ae2265482e3b76b6 Data
README.MD Jan 20, 2021 - German Twitter Titling Corpus Markdown Text - 1.2 KB - MD5: 2fb7128786b3a52452273bb4546963c5 Documentation
tweeDe Mar 26, 2020 Rehbein, Ines; Ruppenhofer, Josef; Do, Bich-Ngoc, 2020, "tweeDe", https://doi.org/10.11588/data/S90S35, heiDATA, V1 A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework
readme.txt Mar 26, 2020 - tweeDe Plain Text - 4.3 KB - MD5: f331fd03061fbc1b28085934d6a9b10f Documentation
tweeDe.conllu Mar 26, 2020 - tweeDe Unknown - 945.9 KB - MD5: 32d20db78b577a921d9fd4bc3868770e Data
Pre-trained POS tagging models for German social media Mar 26, 2020 Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "Pre-trained POS tagging models for German social media", https://doi.org/10.11588/data/W3JBV4, heiDATA, V1 Pre-trained POS tagging models for the HunPos tagger (Halácsy et al. 2007) the biLSTM-char-CRF tagger (Reimers & Gurevych 2017) Online-Flors (Yin et al. 2015). References: Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In Proceedings of th...

X-SRL Dataset and mBERT Word Aligner

Feb 17, 2021

Daza, Angel, 2021, "X-SRL Dataset and mBERT Word Aligner", https://doi.org/10.11588/data/HVXXIJ, heiDATA, V1

This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English sentences) into the target side (for example a German translation of th...

README.md

Feb 17, 2021 - X-SRL Dataset and mBERT Word Aligner

Markdown Text - 6.0 KB - MD5: 00d9aab1a8323bf228abd46cd51a666b

Documentation

xsrl_mbert_aligner.zip

Feb 17, 2021 - X-SRL Dataset and mBERT Word Aligner

ZIP Archive - 37.7 KB - MD5: 6b35c476556dfdb2b9b25a7a1cdc755d

Code

German Twitter Titling Corpus

Jan 20, 2021

van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2020, "German Twitter Titling Corpus", https://doi.org/10.11588/data/AOSUY6, heiDATA, V2, UNF:6:14BxjwJS7Q3mfI6ei7iBBw== [fileUNF]

The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a...

GTTC_addendum.tab

Jan 20, 2021 - German Twitter Titling Corpus

Tab-Delimited - 19.7 KB - MD5: 0f6e049cae118929ae2265482e3b76b6

Data

README.MD

Jan 20, 2021 - German Twitter Titling Corpus

Markdown Text - 1.2 KB - MD5: 2fb7128786b3a52452273bb4546963c5

Documentation

tweeDe

Mar 26, 2020

Rehbein, Ines; Ruppenhofer, Josef; Do, Bich-Ngoc, 2020, "tweeDe", https://doi.org/10.11588/data/S90S35, heiDATA, V1

A German UD Twitter treebank, with >12,000 tokens from 519 tweets, annotated in the Universal Dependencies framework

readme.txt

Mar 26, 2020 - tweeDe

Plain Text - 4.3 KB - MD5: f331fd03061fbc1b28085934d6a9b10f

Documentation

tweeDe.conllu

Mar 26, 2020 - tweeDe

Unknown - 945.9 KB - MD5: 32d20db78b577a921d9fd4bc3868770e

Data

Pre-trained POS tagging models for German social media

Mar 26, 2020

Rehbein, Ines; Ruppenhofer, Josef; Zimmermann, Victor, 2020, "Pre-trained POS tagging models for German social media", https://doi.org/10.11588/data/W3JBV4, heiDATA, V1

Pre-trained POS tagging models for the HunPos tagger (Halácsy et al. 2007) the biLSTM-char-CRF tagger (Reimers & Gurevych 2017) Online-Flors (Yin et al. 2015). References: Halácsy, P., Kornai, A., and Oravecz, C. (2007). HunPos: An open source trigram tagger. In Proceedings of th...

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