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Documents authored by Fäth, Christian

Document
DOI: 10.4230/OASIcs.LDK.2021.20
An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology

Authors: Christian Chiarcos, Maxim Ionov, Luis Glaser, and Christian Fäth

Published in: OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)

Abstract
In language technology and language sciences, tab-separated values (TSV) represent a frequently used formalism to represent linguistically annotated natural language, often addressed as "CoNLL formats". A large number of such formats do exist, but although they share a number of common features, they are not interoperable, as different pieces of information are encoded differently in these dialects. CoNLL-RDF refers to a programming library and the associated data model that has been introduced to facilitate processing and transforming such TSV formats in a serialization-independent way. CoNLL-RDF represents CoNLL data, by means of RDF graphs and SPARQL update operations, but so far, without machine-readable semantics, with annotation properties created dynamically on the basis of a user-defined mapping from columns to labels. Current applications of CoNLL-RDF include linking between corpora and dictionaries [Mambrini and Passarotti, 2019] and knowledge graphs [Tamper et al., 2018], syntactic parsing of historical languages [Chiarcos et al., 2018; Chiarcos et al., 2018], the consolidation of syntactic and semantic annotations [Chiarcos and Fäth, 2019], a bridge between RDF corpora and a traditional corpus query language [Ionov et al., 2020], and language contact studies [Chiarcos et al., 2018]. We describe a novel extension of CoNLL-RDF, introducing a formal data model, formalized as an ontology. The ontology is a basis for linking RDF corpora with other Semantic Web resources, but more importantly, its application for transformation between different TSV formats is a major step for providing interoperability between CoNLL formats.
Cite as

Christian Chiarcos, Maxim Ionov, Luis Glaser, and Christian Fäth. An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 20:1-20:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{chiarcos_et_al:OASIcs.LDK.2021.20,
  author =	{Chiarcos, Christian and Ionov, Maxim and Glaser, Luis and F\"{a}th, Christian},
  title =	{{An Ontology for CoNLL-RDF: Formal Data Structures for TSV Formats in Language Technology}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{20:1--20:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.20},
  URN =		{urn:nbn:de:0030-drops-145566},
  doi =		{10.4230/OASIcs.LDK.2021.20},
  annote =	{Keywords: language technology, data models, CoNLL-RDF, ontology}
}
Document
Complete Volume
DOI: 10.4230/OASIcs.LDK.2019
OASIcs, Volume 70, LDK'19, Complete Volume

Authors: Maria Eskevich, Gerard de Melo, Christian Fäth, John P. McCrae, Paul Buitelaar, Christian Chiarcos, Bettina Klimek, and Milan Dojchinovski

Published in: OASIcs, Volume 70, 2nd Conference on Language, Data and Knowledge (LDK 2019)

Abstract
OASIcs, Volume 70, LDK'19, Complete Volume
Cite as

2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Proceedings{eskevich_et_al:OASIcs.LDK.2019,
  title =	{{OASIcs, Volume 70, LDK'19, Complete Volume}},
  booktitle =	{2nd Conference on Language, Data and Knowledge (LDK 2019)},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-105-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{70},
  editor =	{Eskevich, Maria and de Melo, Gerard and F\"{a}th, Christian and McCrae, John P. and Buitelaar, Paul and Chiarcos, Christian and Klimek, Bettina and Dojchinovski, Milan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019},
  URN =		{urn:nbn:de:0030-drops-105045},
  doi =		{10.4230/OASIcs.LDK.2019},
  annote =	{Keywords: Computing methodologies, Natural language processing, Knowledge representation and reasoning}
}
Document
Front Matter
DOI: 10.4230/OASIcs.LDK.2019.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Maria Eskevich, Gerard de Melo, Christian Fäth, John P. McCrae, Paul Buitelaar, Christian Chiarcos, Bettina Klimek, and Milan Dojchinovski

Published in: OASIcs, Volume 70, 2nd Conference on Language, Data and Knowledge (LDK 2019)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, pp. 0:i-0:xvi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{eskevich_et_al:OASIcs.LDK.2019.0,
  author =	{Eskevich, Maria and de Melo, Gerard and F\"{a}th, Christian and McCrae, John P. and Buitelaar, Paul and Chiarcos, Christian and Klimek, Bettina and Dojchinovski, Milan},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{2nd Conference on Language, Data and Knowledge (LDK 2019)},
  pages =	{0:i--0:xvi},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-105-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{70},
  editor =	{Eskevich, Maria and de Melo, Gerard and F\"{a}th, Christian and McCrae, John P. and Buitelaar, Paul and Chiarcos, Christian and Klimek, Bettina and Dojchinovski, Milan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019.0},
  URN =		{urn:nbn:de:0030-drops-103641},
  doi =		{10.4230/OASIcs.LDK.2019.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Short Paper
DOI: 10.4230/OASIcs.LDK.2019.9
Graph-Based Annotation Engineering: Towards a Gold Corpus for Role and Reference Grammar

Authors: Christian Chiarcos and Christian Fäth

Published in: OASIcs, Volume 70, 2nd Conference on Language, Data and Knowledge (LDK 2019)

Abstract
This paper describes the application of annotation engineering techniques for the construction of a corpus for Role and Reference Grammar (RRG). RRG is a semantics-oriented formalism for natural language syntax popular in comparative linguistics and linguistic typology, and predominantly applied for the description of non-European languages which are less-resourced in terms of natural language processing. Because of its cross-linguistic applicability and its conjoint treatment of syntax and semantics, RRG also represents a promising framework for research challenges within natural language processing. At the moment, however, these have not been explored as no RRG corpus data is publicly available. While RRG annotations cannot be easily derived from any single treebank in existence, we suggest that they can be reliably inferred from the intersection of syntactic and semantic annotations as represented by, for example, the Universal Dependencies (UD) and PropBank (PB), and we demonstrate this for the English Web Treebank, a 250,000 token corpus of various genres of English internet text. The resulting corpus is a gold corpus for future experiments in natural language processing in the sense that it is built on existing annotations which have been created manually. A technical challenge in this context is to align UD and PB annotations, to integrate them in a coherent manner, and to distribute and to combine their information on RRG constituent and operator projections. For this purpose, we describe a framework for flexible and scalable annotation engineering based on flexible, unconstrained graph transformations of sentence graphs by means of SPARQL Update.
Cite as

Christian Chiarcos and Christian Fäth. Graph-Based Annotation Engineering: Towards a Gold Corpus for Role and Reference Grammar. In 2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, pp. 9:1-9:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{chiarcos_et_al:OASIcs.LDK.2019.9,
  author =	{Chiarcos, Christian and F\"{a}th, Christian},
  title =	{{Graph-Based Annotation Engineering: Towards a Gold Corpus for Role and Reference Grammar}},
  booktitle =	{2nd Conference on Language, Data and Knowledge (LDK 2019)},
  pages =	{9:1--9:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-105-4},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{70},
  editor =	{Eskevich, Maria and de Melo, Gerard and F\"{a}th, Christian and McCrae, John P. and Buitelaar, Paul and Chiarcos, Christian and Klimek, Bettina and Dojchinovski, Milan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2019.9},
  URN =		{urn:nbn:de:0030-drops-103731},
  doi =		{10.4230/OASIcs.LDK.2019.9},
  annote =	{Keywords: Role and Reference Grammar, NLP, Corpus, Semantic Web, LLOD, Syntax, Semantics}
}
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