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Publication Year: 2019 Subject: Arts and Humanities

21 to 30 of 33 Results

Negative Sampling for Learning Knowledge Graph Embeddings Aug 19, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) 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...
Opinion role extractor Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) 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
Sentiment Compound Data (DE) Sep 5, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) 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.
Sentiment View Lexicon (EN) Sep 5, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) Wiegand, Michael; Ruppenhofer, Josef; Schulder, Marc, 2019, "Sentiment View Lexicon (EN)", https://doi.org/10.11588/data/2JK48O, heiDATA, V1 This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.
SFB 933 Materiale Textkulturen - Teilprojekt A01(Heidelberg University) Feb 7, 2019SFB 933: Materiale Textkulturen Datenpublikationen des Teilprojekts A01 des SFB 933: Materiale Textkulturen.
SFB 933 Materiale Textkulturen - Teilprojekt B11(Heidelberg University) Feb 1, 2019SFB 933: Materiale Textkulturen Datenpublikationen des Teilprojekts B11 des SFB 933: Materiale Textkulturen.
SFB 933 Materiale Textkulturen - Teilprojekt C05(Heidelberg University) Feb 5, 2019SFB 933: Materiale Textkulturen Datenpublikationen des Teilprojekts C05 des SFB 933: Materiale Textkulturen.
SFB 933: Materiale Textkulturen(Heidelberg University) Feb 1, 2019 Datenpublikationen des SFB 933: Materiale Textkulturen.
The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset] Sep 2, 2019 - Heidelberg University Language and Cognition Lab Gerwien, Johannes, 2019, "The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset]", https://doi.org/10.11588/data/L7QPUY, heiDATA, V1, UNF:6:Gpy3ySsey0gDHrTBkgp1Bg== [fileUNF] This data set contains eye tracking data collected with an SMI RED 500 eye tracking system. The experimental design, elicitation method, coding, and criteria for excluding/including data are documented in the article: Gerwien, J. (2019) "The interpretation and prediction of event...
The MSC Data Set Oct 7, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) Marasović, Ana; Zhou, Mengfei; Frank, Anette, 2019, "The MSC Data Set", https://doi.org/10.11588/data/JEESIQ, heiDATA, V1 From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and...

Negative Sampling for Learning Knowledge Graph Embeddings

Aug 19, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

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...

Opinion role extractor

Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

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

Sentiment Compound Data (DE)

Sep 5, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

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.

Sentiment View Lexicon (EN)

Sep 5, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

Wiegand, Michael; Ruppenhofer, Josef; Schulder, Marc, 2019, "Sentiment View Lexicon (EN)", https://doi.org/10.11588/data/2JK48O, heiDATA, V1

This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.

SFB 933 Materiale Textkulturen - Teilprojekt A01(Heidelberg University)

Feb 7, 2019SFB 933: Materiale Textkulturen

Datenpublikationen des Teilprojekts A01 des SFB 933: Materiale Textkulturen.

SFB 933 Materiale Textkulturen - Teilprojekt B11(Heidelberg University)

Feb 1, 2019SFB 933: Materiale Textkulturen

Datenpublikationen des Teilprojekts B11 des SFB 933: Materiale Textkulturen.

SFB 933 Materiale Textkulturen - Teilprojekt C05(Heidelberg University)

Feb 5, 2019SFB 933: Materiale Textkulturen

Datenpublikationen des Teilprojekts C05 des SFB 933: Materiale Textkulturen.

SFB 933: Materiale Textkulturen(Heidelberg University)

Feb 1, 2019

Datenpublikationen des SFB 933: Materiale Textkulturen.

The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset]

Sep 2, 2019 - Heidelberg University Language and Cognition Lab

Gerwien, Johannes, 2019, "The interpretation and prediction of event participants in Mandarin verb-final active and passive sentences [Dataset]", https://doi.org/10.11588/data/L7QPUY, heiDATA, V1, UNF:6:Gpy3ySsey0gDHrTBkgp1Bg== [fileUNF]

This data set contains eye tracking data collected with an SMI RED 500 eye tracking system. The experimental design, elicitation method, coding, and criteria for excluding/including data are documented in the article: Gerwien, J. (2019) "The interpretation and prediction of event...

The MSC Data Set

Oct 7, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

Marasović, Ana; Zhou, Mengfei; Frank, Anette, 2019, "The MSC Data Set", https://doi.org/10.11588/data/JEESIQ, heiDATA, V1

From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015) (see "Related Publication" below): Heuristically sense-annotated training data acquired from EUROPARL and...

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