Empirical Linguistics and Computational Language Modeling (LiMo)

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Publication Year: 2019

31 to 40 of 55 Results

Lexicon of Abusive Words (EN) Sep 2, 2019 Wiegand, Michael, 2019, "Lexicon of Abusive Words (EN)", https://doi.org/10.11588/data/MKPEYV, heiDATA, V1 This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.
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
Opinion role extractor Sep 2, 2019 Wiegand, Michael, 2019, "Opinion role extractor", https://doi.org/10.11588/data/3W7AQP, heiDATA, V1 System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text
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
Twitter Titling Corpus Aug 23, 2019 van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2019, "Twitter Titling Corpus", https://doi.org/10.11588/data/IOHXDF, heiDATA, V1, UNF:6:+F3lLKziwMvjy+xyktkilw== [fileUNF] The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variat...
twitter_titling_corpus.tab Aug 23, 2019 - Twitter Titling Corpus Tabular Data - 219.0 KB - 5 Variables, 4002 Observations - UNF:6:+F3lLKziwMvjy+xyktkilw== Data
Negative Sampling for Learning Knowledge Graph Embeddings Aug 19, 2019 Kotnis, Bhushan, 2019, "Negative Sampling for Learning Knowledge Graph Embeddings", https://doi.org/10.11588/data/YYULL2, heiDATA, V1 Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure o...
kge-rl-master.zip Aug 19, 2019 - Negative Sampling for Learning Knowledge Graph Embeddings ZIP Archive - 19.4 KB - MD5: d2e8ac74e3f20d2cdec2225962c7e2f0 Code

Lexicon of Abusive Words (EN)

Sep 2, 2019

Wiegand, Michael, 2019, "Lexicon of Abusive Words (EN)", https://doi.org/10.11588/data/MKPEYV, heiDATA, V1

This goldstandard contains a bootstrapped lexicon of abusive words. The lexicon comprises a large set of English negative polar expressions annotated as either abusive or not.

lexicon-of-abusive-words-master.zip

Sep 2, 2019 - Lexicon of Abusive Words (EN)

ZIP Archive - 738.4 KB -

README.md

Sep 2, 2019 - Lexicon of Abusive Words (EN)

Markdown Text - 4.4 KB -

Documentation

Opinion role extractor

Sep 2, 2019

Wiegand, Michael, 2019, "Opinion role extractor", https://doi.org/10.11588/data/3W7AQP, heiDATA, V1

System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text

german-opinon-role-extractor-master.zip

Sep 2, 2019 - Opinion role extractor

ZIP Archive - 20.8 MB -

Code

README

Sep 2, 2019 - Opinion role extractor

Plain Text - 13.0 KB -

Documentation

Twitter Titling Corpus

Aug 23, 2019

van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2019, "Twitter Titling Corpus", https://doi.org/10.11588/data/IOHXDF, heiDATA, V1, UNF:6:+F3lLKziwMvjy+xyktkilw== [fileUNF]

The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variat...

twitter_titling_corpus.tab

Aug 23, 2019 - Twitter Titling Corpus

Tabular Data - 219.0 KB - 5 Variables, 4002 Observations -

Data

Negative Sampling for Learning Knowledge Graph Embeddings

Aug 19, 2019

Kotnis, Bhushan, 2019, "Negative Sampling for Learning Knowledge Graph Embeddings", https://doi.org/10.11588/data/YYULL2, heiDATA, V1

Reimplementation of four KG factorization methods and six negative sampling methods. Abstract Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective structure o...

kge-rl-master.zip

Aug 19, 2019 - Negative Sampling for Learning Knowledge Graph Embeddings

ZIP Archive - 19.4 KB -

Code

Add Data

Share Dataverse

Link Dataverse

Reset Modifications