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Publication Year: 2019

11 to 20 of 63 Results

SFB 933: Materiale Textkulturen(Heidelberg University) Feb 1, 2019 Datenpublikationen 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 - Teilprojekt B11(Heidelberg University) Feb 1, 2019SFB 933: Materiale Textkulturen Datenpublikationen des Teilprojekts B11 des SFB 933: Materiale Textkulturen.
SFB 933 Materiale Textkulturen - Teilprojekt A01(Heidelberg University) Feb 7, 2019SFB 933: Materiale Textkulturen Datenpublikationen des Teilprojekts A01 des SFB 933: Materiale Textkulturen.
SFB 1036(Heidelberg University) Jun 7, 2019 Data publications from SFB 1036.
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.
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.
Selectional Preference Embeddings (EMNLP 2017) Jan 31, 2019 - AIPHES Heinzerling, Benjamin, 2019, "Selectional Preference Embeddings (EMNLP 2017)", https://doi.org/10.11588/data/FJQ4XL, heiDATA, V1 Joint embeddings of selectional preferences, words, and fine-grained entity types. The vocabulary consists of: verbs and their dependency relation separated by "@", e.g. "sink@nsubj" or "elect@dobj" words and short noun phrases, e.g. "Titanic" fine-grained entity types using the...
Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset] May 28, 2019 - KnopLab Buchmuller, Benjamin C; Herbst, Konrad; Meurer, Matthias; Kirrmaier, Daniel; Sass, Ehud; Levy, Emmanuel D; Knop, Michael, 2019, "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]", https://doi.org/10.11588/data/L45TRX, heiDATA, V2 Data accompanying the paper "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast" by Buchmuller and Herbst et al, 2019, Nat Communications. This contains raw NGS data for all genotyping analysis in the publication as well as the source code of the...
Point Beauty Contest: Measuring the Distribution of Focal Points on the Individual Level [Dataset] Nov 4, 2019 - AWI Experimental Economics Schmidt, Robert, 2019, "Point Beauty Contest: Measuring the Distribution of Focal Points on the Individual Level [Dataset]", https://doi.org/10.11588/data/PA87NV, heiDATA, V1, UNF:6:XeJX5PG6nEvxhO8ACToIDQ== [fileUNF] We propose the Point Beauty Contest, a mechanism to identify the distribution of focal points on the individual level. By contrast to conventional coordination, subjects coordinate by the distribution of points. This allows for nuanced coordination strategies, as subjects can inv...

SFB 933: Materiale Textkulturen(Heidelberg University)

Feb 1, 2019

Datenpublikationen 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 - Teilprojekt B11(Heidelberg University)

Feb 1, 2019SFB 933: Materiale Textkulturen

Datenpublikationen des Teilprojekts B11 des SFB 933: Materiale Textkulturen.

SFB 933 Materiale Textkulturen - Teilprojekt A01(Heidelberg University)

Feb 7, 2019SFB 933: Materiale Textkulturen

Datenpublikationen des Teilprojekts A01 des SFB 933: Materiale Textkulturen.

SFB 1036(Heidelberg University)

Jun 7, 2019

Data publications from SFB 1036.

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.

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.

Selectional Preference Embeddings (EMNLP 2017)

Jan 31, 2019 - AIPHES

Heinzerling, Benjamin, 2019, "Selectional Preference Embeddings (EMNLP 2017)", https://doi.org/10.11588/data/FJQ4XL, heiDATA, V1

Joint embeddings of selectional preferences, words, and fine-grained entity types. The vocabulary consists of: verbs and their dependency relation separated by "@", e.g. "sink@nsubj" or "elect@dobj" words and short noun phrases, e.g. "Titanic" fine-grained entity types using the...

Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]

May 28, 2019 - KnopLab

Buchmuller, Benjamin C; Herbst, Konrad; Meurer, Matthias; Kirrmaier, Daniel; Sass, Ehud; Levy, Emmanuel D; Knop, Michael, 2019, "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]", https://doi.org/10.11588/data/L45TRX, heiDATA, V2

Data accompanying the paper "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast" by Buchmuller and Herbst et al, 2019, Nat Communications. This contains raw NGS data for all genotyping analysis in the publication as well as the source code of the...

Point Beauty Contest: Measuring the Distribution of Focal Points on the Individual Level [Dataset]

Nov 4, 2019 - AWI Experimental Economics

Schmidt, Robert, 2019, "Point Beauty Contest: Measuring the Distribution of Focal Points on the Individual Level [Dataset]", https://doi.org/10.11588/data/PA87NV, heiDATA, V1, UNF:6:XeJX5PG6nEvxhO8ACToIDQ== [fileUNF]

We propose the Point Beauty Contest, a mechanism to identify the distribution of focal points on the individual level. By contrast to conventional coordination, subjects coordinate by the distribution of points. This allows for nuanced coordination strategies, as subjects can inv...

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