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1 to 10 of 20 Results

Tool for Extracting PP Attachment Disambiguation Dataset Nov 13, 2023 - Neural Techniques for German Dependency Parsing Do, Bich-Ngoc; Rehbein, Ines, 2023, "Tool for Extracting PP Attachment Disambiguation Dataset", https://doi.org/10.11588/data/RHD3KS, heiDATA, V1 This resource contains code to extract a PP attachment disambiguation dataset as described in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". The input is in CoNLL format, and the output format is similar to the one described in de Kok et al...
Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction" Nov 24, 2021 - PhD related material - Faculty of Modern Languages Judea, Alex, 2021, "Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/Z1RKOI, heiDATA, V1 This release contains the source code used for Chapter 5 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". It contains the implementation of the modular, graph-based event extractor described there. Furthermore, the release contains five...
Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction" Nov 24, 2021 - PhD related material - Faculty of Modern Languages Judea, Alex, 2021, "Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/CZZEKX, heiDATA, V1 This release contains the source code used for Chapter 4 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". The code served as a testbed for the assumption that dependency graphs can be an important information source for event extraction....
HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection Mar 26, 2021 - IWR Computer Graphics Mara, Hubert, 2019, "HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection", https://doi.org/10.11588/data/IE8CCN, heiDATA, V2 The number of known cuneiform tablets is assumed to be in the hundreds of thousands. A fraction has been published by printing photographs and manual tracings in books, which is collected by the online Cuneiform Digital Library Initiative (CDLI) catalog including some of these im...
German causal language annotations and lexicon (verbs, nouns, prepositions) (DE) Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo) Rehbein, Ines; Ruppenhofer, Josef, 2020, "German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)", https://doi.org/10.11588/data/ZHI94V, heiDATA, V1 Annotations of causal verbs, nouns and prepositions in context and lexicon file for causal verbs, nouns and prepositions.
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.
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
Abstract graphs, abstract paths, grounded paths for Freebase and NELL Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo) Nastase, Vivi; Kotnis, Bhushan, 2019, "Abstract graphs, abstract paths, grounded paths for Freebase and NELL", https://doi.org/10.11588/data/AVLFPZ, heiDATA, V1 We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the...
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...
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...

Tool for Extracting PP Attachment Disambiguation Dataset

Nov 13, 2023 - Neural Techniques for German Dependency Parsing

Do, Bich-Ngoc; Rehbein, Ines, 2023, "Tool for Extracting PP Attachment Disambiguation Dataset", https://doi.org/10.11588/data/RHD3KS, heiDATA, V1

This resource contains code to extract a PP attachment disambiguation dataset as described in the paper: Do and Rehbein (2020). "Parsers Know Best: German PP Attachment Revisited". The input is in CoNLL format, and the output format is similar to the one described in de Kok et al...

Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"

Nov 24, 2021 - PhD related material - Faculty of Modern Languages

Judea, Alex, 2021, "Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/Z1RKOI, heiDATA, V1

This release contains the source code used for Chapter 5 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". It contains the implementation of the modular, graph-based event extractor described there. Furthermore, the release contains five...

Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"

Nov 24, 2021 - PhD related material - Faculty of Modern Languages

Judea, Alex, 2021, "Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/CZZEKX, heiDATA, V1

This release contains the source code used for Chapter 4 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". The code served as a testbed for the assumption that dependency graphs can be an important information source for event extraction....

HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection

Mar 26, 2021 - IWR Computer Graphics

Mara, Hubert, 2019, "HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection", https://doi.org/10.11588/data/IE8CCN, heiDATA, V2

The number of known cuneiform tablets is assumed to be in the hundreds of thousands. A fraction has been published by printing photographs and manual tracings in books, which is collected by the online Cuneiform Digital Library Initiative (CDLI) catalog including some of these im...

German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)

Mar 26, 2020 - Empirical Linguistics and Computational Language Modeling (LiMo)

Rehbein, Ines; Ruppenhofer, Josef, 2020, "German causal language annotations and lexicon (verbs, nouns, prepositions) (DE)", https://doi.org/10.11588/data/ZHI94V, heiDATA, V1

Annotations of causal verbs, nouns and prepositions in context and lexicon file for causal verbs, nouns and prepositions.

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.

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

Abstract graphs, abstract paths, grounded paths for Freebase and NELL

Jul 15, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)

Nastase, Vivi; Kotnis, Bhushan, 2019, "Abstract graphs, abstract paths, grounded paths for Freebase and NELL", https://doi.org/10.11588/data/AVLFPZ, heiDATA, V1

We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact, and it abstracts away from individual links, allowing us to find better path candidates, as shown by the...

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...

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...

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