heiDATA

Metrics

189,636 Downloads

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

1 to 10 of 52 Results

Climate policy commitment devices [Dataset] Jan 15, 2019 - AWI Experimental Economics Dengler, Sebastian; Gerlagh, Reyer; Trautmann, Stefan T.; van de Kuilen, Gijs, 2019, "Climate policy commitment devices [Dataset]", https://doi.org/10.11588/data/R8HGIB, heiDATA, V1, UNF:6:G5JiC8JlmlC3TYlJ68qogw== [fileUNF] We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interven...
Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset] Jan 29, 2019 - AWI Experimental Economics Trautmann, Stefan T., 2019, "Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]", https://doi.org/10.11588/data/0HJW2A, heiDATA, V1, UNF:6:Rk3oq4gQ95R1nr48tgqV+Q== [fileUNF] Psychological distance effects have attracted the attention of behavioral economists in the context of descriptive modeling and behavioral policy. Indeed, psychological distance effects have been shown for an increasing number of domains and applications relevant to economic deci...
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...
Datenpublikation zu materialen Formierungen musiktheoretischer Konzepte: Praxeologie eines Fachschrifttums im ausgehenden Mittelalter Feb 1, 2019 - SFB 933 Materiale Textkulturen - Teilprojekt B11 Sauer, Hein, 2019, "Datenpublikation zu materialen Formierungen musiktheoretischer Konzepte: Praxeologie eines Fachschrifttums im ausgehenden Mittelalter", https://doi.org/10.11588/data/MM6ZGU, heiDATA, V1 Das Projekt untersucht in der Überlieferung musiktheoretischer Texte an der Wende vom Spätmittelalter zur frühen Neuzeit die inhaltliche Konstitution, materiale Gestaltung und praktische Verwendung von Handschriften (und auch frühen Drucken): Wie wird theoretisches Wissen über Mu...
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling [Source Code] Feb 4, 2019 - AIPHES Marasovic, Ana, 2019, "SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling [Source Code]", https://doi.org/10.11588/data/LWN9XE, heiDATA, V1 This repository contains code for reproducing experiments done in Marasovic and Frank (2018). Paper abstract: For over a decade, machine learning has been used to extract opinion-holder-target structures from text to answer the question "Who expressed what kind of sentiment towar...
Abstract Anaphora Resolution [Source Code] Feb 4, 2019 - AIPHES Marasovic, Ana, 2019, "Abstract Anaphora Resolution [Source Code]", https://doi.org/10.11588/data/UDMPY5, heiDATA, V1 Abstract Anaphora Resolution (AAR) aims to find the interpretation of nominal expressions (e.g., this result, those two actions) and pronominal expressions (e.g., this, that, it) that refer to abstract-object-antecedents such as facts, events, plans, actions, or situations. The f...
Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset] Feb 5, 2019 - Computer Assisted Clinical Medicine Davids, M.; Zöllner, F.; Ruttorf, M.; Nees, F.; Flor, H.; Schumann, G.; Schad, L.; the Imagen Consortium, 2019, "Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]", https://doi.org/10.11588/data/RR5BMF, heiDATA, V1 43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra...
DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset] Feb 6, 2019 - Computer Assisted Clinical Medicine Zöllner, Frank; Lietzmann, Florian; Attenberger, Ulrike; Haneder, Stefan; Michaely, Henrik; Schad, Lothar, 2019, "DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]", https://doi.org/10.11588/data/5RSAM3, heiDATA, V1 To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH). Dynamic contrast enhanced magnetic reso...
Source Code, Data and Additional Material for the Thesis: "Aspects of Coherence for Entity Analysis" Feb 6, 2019 - AIPHES Heinzerling, Benjamin, 2019, "Source Code, Data and Additional Material for the Thesis: "Aspects of Coherence for Entity Analysis"", https://doi.org/10.11588/data/9JKAVW, heiDATA, V1 This dataset contains source code and system output used in the PhD thesis "Aspects of Coherence for Entity Analysis". This dataset is split into three parts corresponding to the chapters describing the three main contributions of the thesis: chapter3.tar.gz: Java source code for...
BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018) Feb 6, 2019 - AIPHES Heinzerling, Benjamin, 2019, "BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)", https://doi.org/10.11588/data/V9CXPR, heiDATA, V1 BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE). In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages better than alternative subword approaches, while r...

Climate policy commitment devices [Dataset]

Jan 15, 2019 - AWI Experimental Economics

Dengler, Sebastian; Gerlagh, Reyer; Trautmann, Stefan T.; van de Kuilen, Gijs, 2019, "Climate policy commitment devices [Dataset]", https://doi.org/10.11588/data/R8HGIB, heiDATA, V1, UNF:6:G5JiC8JlmlC3TYlJ68qogw== [fileUNF]

We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interven...

Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]

Jan 29, 2019 - AWI Experimental Economics

Trautmann, Stefan T., 2019, "Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]", https://doi.org/10.11588/data/0HJW2A, heiDATA, V1, UNF:6:Rk3oq4gQ95R1nr48tgqV+Q== [fileUNF]

Psychological distance effects have attracted the attention of behavioral economists in the context of descriptive modeling and behavioral policy. Indeed, psychological distance effects have been shown for an increasing number of domains and applications relevant to economic deci...

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...

Datenpublikation zu materialen Formierungen musiktheoretischer Konzepte: Praxeologie eines Fachschrifttums im ausgehenden Mittelalter

Feb 1, 2019 - SFB 933 Materiale Textkulturen - Teilprojekt B11

Sauer, Hein, 2019, "Datenpublikation zu materialen Formierungen musiktheoretischer Konzepte: Praxeologie eines Fachschrifttums im ausgehenden Mittelalter", https://doi.org/10.11588/data/MM6ZGU, heiDATA, V1

Das Projekt untersucht in der Überlieferung musiktheoretischer Texte an der Wende vom Spätmittelalter zur frühen Neuzeit die inhaltliche Konstitution, materiale Gestaltung und praktische Verwendung von Handschriften (und auch frühen Drucken): Wie wird theoretisches Wissen über Mu...

SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling [Source Code]

Feb 4, 2019 - AIPHES

Marasovic, Ana, 2019, "SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling [Source Code]", https://doi.org/10.11588/data/LWN9XE, heiDATA, V1

This repository contains code for reproducing experiments done in Marasovic and Frank (2018). Paper abstract: For over a decade, machine learning has been used to extract opinion-holder-target structures from text to answer the question "Who expressed what kind of sentiment towar...

Abstract Anaphora Resolution [Source Code]

Feb 4, 2019 - AIPHES

Marasovic, Ana, 2019, "Abstract Anaphora Resolution [Source Code]", https://doi.org/10.11588/data/UDMPY5, heiDATA, V1

Abstract Anaphora Resolution (AAR) aims to find the interpretation of nominal expressions (e.g., this result, those two actions) and pronominal expressions (e.g., this, that, it) that refer to abstract-object-antecedents such as facts, events, plans, actions, or situations. The f...

Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]

Feb 5, 2019 - Computer Assisted Clinical Medicine

Davids, M.; Zöllner, F.; Ruttorf, M.; Nees, F.; Flor, H.; Schumann, G.; Schad, L.; the Imagen Consortium, 2019, "Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]", https://doi.org/10.11588/data/RR5BMF, heiDATA, V1

43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra...

DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]

Feb 6, 2019 - Computer Assisted Clinical Medicine

Zöllner, Frank; Lietzmann, Florian; Attenberger, Ulrike; Haneder, Stefan; Michaely, Henrik; Schad, Lothar, 2019, "DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]", https://doi.org/10.11588/data/5RSAM3, heiDATA, V1

To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH). Dynamic contrast enhanced magnetic reso...

Source Code, Data and Additional Material for the Thesis: "Aspects of Coherence for Entity Analysis"

Feb 6, 2019 - AIPHES

Heinzerling, Benjamin, 2019, "Source Code, Data and Additional Material for the Thesis: "Aspects of Coherence for Entity Analysis"", https://doi.org/10.11588/data/9JKAVW, heiDATA, V1

This dataset contains source code and system output used in the PhD thesis "Aspects of Coherence for Entity Analysis". This dataset is split into three parts corresponding to the chapters describing the three main contributions of the thesis: chapter3.tar.gz: Java source code for...

BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)

Feb 6, 2019 - AIPHES

Heinzerling, Benjamin, 2019, "BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)", https://doi.org/10.11588/data/V9CXPR, heiDATA, V1

BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE). In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages better than alternative subword approaches, while r...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications