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Subject: Computer and Information Science

11 to 20 of 93 Results

Rektorbuch RA 653 - University of Heidelberg Apr 16, 2015 - IWR Computer Graphics Krömker, Susanne; Mara, Hubert, 2015, "Rektorbuch RA 653 - University of Heidelberg", https://doi.org/10.11588/data/10054, heiDATA, V1 Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph...
Seal of the University of Heidelberg - Siegel UAH AccNr 60/2012 Jul 28, 2015 - IWR Computer Graphics Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH AccNr 60/2012", https://doi.org/10.11588/data/10058, heiDATA, V1 Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph...
MARC21-MARCXML-Konverter Nov 2, 2016 - Perspektive Bibliothek Boiger, Wolfgang, 2016, "MARC21-MARCXML-Konverter", https://doi.org/10.11588/data/10091, heiDATA, V1 Quellcode für eine Perl-Implementierung eines MARC21-MARCXML-Konverters.
Text und Data Mining an wissenschaftlichen Repositorien und Publikationsservern in Deutschland - Zusammenfassung der Ergebnisse einer Umfrage im Februar und März 2016 Nov 2, 2016 - Perspektive Bibliothek Drees, Bastian, 2016, "Text und Data Mining an wissenschaftlichen Repositorien und Publikationsservern in Deutschland - Zusammenfassung der Ergebnisse einer Umfrage im Februar und März 2016", https://doi.org/10.11588/data/10090, heiDATA, V2 Es wurden die auf den Homepages angegebenen Ansprechpartner wissenschaftlicher Repositorien und Publikationsserver in Deutschland zu ihren Erfahrungen mit Text und Data Mining befragt. Die Befragung fand zwischen dem 22. und 26.2.2016 per E-Mail statt. Es wurden Ansprechpartner v...
Source Code, Data and Additional Material for the Thesis: "Identification of Software Features in Issue Tracking System Data" Feb 14, 2017 - PhD related Material - Faculty of Mathematics and Computer Science Merten, Thorsten, 2017, "Source Code, Data and Additional Material for the Thesis: "Identification of Software Features in Issue Tracking System Data"", https://doi.org/10.11588/data/10089, heiDATA, V2 This dataset provides the code and the data sets used in the PHD thesis "Identification of Software Features in Issue Tracking System Data" as well as the files that represent the results measured in experiments. For problem studies (e.g. chapters 10 and 11) the folders include t...
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...
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...
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...

Rektorbuch RA 653 - University of Heidelberg

Apr 16, 2015 - IWR Computer Graphics

Krömker, Susanne; Mara, Hubert, 2015, "Rektorbuch RA 653 - University of Heidelberg", https://doi.org/10.11588/data/10054, heiDATA, V1

Capturing the Heidelberg University's sealings with a 3D-scanner provides new visualizations and virtual restoration possibilities for the partially preserved damaged objects. High-resolution 3D-models are analyzed due to their surface features, which cannot be documented with ph...

Seal of the University of Heidelberg - Siegel UAH AccNr 60/2012

Jul 28, 2015 - IWR Computer Graphics

Krömker, Susanne; Mara, Hubert, 2015, "Seal of the University of Heidelberg - Siegel UAH AccNr 60/2012", https://doi.org/10.11588/data/10058, heiDATA, V1

MARC21-MARCXML-Konverter

Nov 2, 2016 - Perspektive Bibliothek

Boiger, Wolfgang, 2016, "MARC21-MARCXML-Konverter", https://doi.org/10.11588/data/10091, heiDATA, V1

Quellcode für eine Perl-Implementierung eines MARC21-MARCXML-Konverters.

Text und Data Mining an wissenschaftlichen Repositorien und Publikationsservern in Deutschland - Zusammenfassung der Ergebnisse einer Umfrage im Februar und März 2016

Nov 2, 2016 - Perspektive Bibliothek

Drees, Bastian, 2016, "Text und Data Mining an wissenschaftlichen Repositorien und Publikationsservern in Deutschland - Zusammenfassung der Ergebnisse einer Umfrage im Februar und März 2016", https://doi.org/10.11588/data/10090, heiDATA, V2

Es wurden die auf den Homepages angegebenen Ansprechpartner wissenschaftlicher Repositorien und Publikationsserver in Deutschland zu ihren Erfahrungen mit Text und Data Mining befragt. Die Befragung fand zwischen dem 22. und 26.2.2016 per E-Mail statt. Es wurden Ansprechpartner v...

Source Code, Data and Additional Material for the Thesis: "Identification of Software Features in Issue Tracking System Data"

Feb 14, 2017 - PhD related Material - Faculty of Mathematics and Computer Science

Merten, Thorsten, 2017, "Source Code, Data and Additional Material for the Thesis: "Identification of Software Features in Issue Tracking System Data"", https://doi.org/10.11588/data/10089, heiDATA, V2

This dataset provides the code and the data sets used in the PHD thesis "Identification of Software Features in Issue Tracking System Data" as well as the files that represent the results measured in experiments. For problem studies (e.g. chapters 10 and 11) the folders include t...

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...

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...

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...

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