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12th International Conference on Language Resources and Evaluation (LREC)

作者： Declerck, Thierry McCrae, John Hartung, Matthias Gracia, Jorge Chiarcos, Christian Montiel, Elena Cimiano, Philipp Revenko, Artem Sauri, Roser Lee, Deirdre Racioppa, Stefania Nasir, Jamal Orlikowski, Matthias Lanau-Coronas, Marta Faeth, Christian Rico, Mariano Elahi, Mohammad Fazleh Khvalchik, Maria Gonzalez, Meritxell Cooney, Katharine DFKI GmbH Kaiserslautern Germany Natl Univ Ireland Galway Galway Ireland Semalytix GmbH Bielefeld Germany Univ Zaragoza Zaragoza Spain Goethe Univ Frankfurt Frankfurt Germany Univ Politecn Madrid Madrid Spain Bielefeld Univ Bielefeld Germany Semant Web Co Vienna Austria Oxford Univ Press Oxford England Derilinx Dublin Ireland

ISBN: (纸本)9791095546344

In this paper we describe the contributions made by the European H2020 project "Pret-a-LLOD" ('Ready-to-use Multilingual linked Language data for Knowledge Services across Sectors') to the further development of the linguistic linked open data (LLOD) infrastructure. Pret-a-LLOD aims to develop a new methodology for building data value chains applicable to a wide range of sectors and applications and based around language resources and language technologies that can be integrated by means of semantic technologies. We describe the methods implemented for increasing the number of language data sets in the LLOD. We also present the approach for ensuring interoperability and for porting LLOD data sets and services to other infrastructures, as well as the contribution of the projects to existing standards.

关键词： linguistic linked open data Standards Infrastructure

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Ontological Modeling of Lists for Modern Greek Derivation 17th

Ontological Modeling of Lists for Modern Greek Derivation

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17th Research Conference on Metadata and Semantic Research (MTSR)

作者： Vasilogamvrakis, Nikos Sfakakis, Michalis Ionian Univ Dept Arch Lib Sci & Museol Corfu Greece

ISBN: (纸本)9783031659898;9783031659904

In the present article, we explore ontological models about lists in order to test them towards a Modern Greek (MG) morphological test-bed. The research topic has been aroused because of the lack of coverage in the current morpho-ontological models and because a suitable list model would considerably facilitate morph behaviour and productivity, word-list complexity or contrastive derivational analysis. After defining a suitable morphological framework, two MG lexical instances are represented by each one of the explored list models, where applicable, to evaluate their suitability. Among the models, we stress the profound design of those like OLO and CO but, on the other hand, their incapability of representing our MG -X, 0, X modeling pattern. To deal with this, we propose a new MG ontological model, based on the CO, incorporating this characteristic.

关键词： Modern Greek morphology ontologies Semantic Web linguistic linked open data list models morph ordering

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Neurosymbolic Narrative Generation for Cultural Heritage 2

Neurosymbolic Narrative Generation for Cultural Heritage

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2nd International Conference on Hybrid Human-Artificial Intelligence (HHAI)

作者： Palma, Cosimo Univ Naples Lorientale Naples Italy Univ Pisa Pisa Italy

ISBN: (纸本)9781643683942;9781643683959

Aim of my research is to exploit linguistic linked open data (LLOD) as base for advanced Cultural Heritage (CH) fruition by means of Automatic Story Generation (ASG). Following the rationale that discovering and reviving already existing (yet latent) narratives is worthier than automatically generating them from anew in eliciting the user's interest, the input-2-graph and the graph-2-sequence ASG-pipeline phases, heavily relying on LLOD, will be given a deeper focus, whereby the final Natural Language Generation (NLG) module will be constrained by the entities and relations established in the Knowledge Graph (KG) generation modules (a configuration typical of the neurosymbolic approach). In order to enhance possibilities of implementation in real-life contexts, the elaborated pipeline will be modular, i.e. self-sufficient in its constituent parts. Beyond the countless possible application scenarios ranging from education to entertainment, this solution detangles the user from his role of mere consumer, and empowers him not only to control the creation process [3.1], but also to find already within it, and not necessarily in the final outcome, a valuable source for intellectual growth. This work intends the addressing of a specific societal need as an avalanche to simultaneously fill knowledge gaps identified in and among the related scientific domains.

关键词： Neurosymbolic AI linguistic linked open data Cultural Heritage Automatic Story Generation Knowledge Graphs

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LL(O)D and NLP perspectives on semantic change for humanities research

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SEMANTIC WEB 2022年第6期13卷 1051-1080页

作者： Armaselu, Florentina Apostol, Elena-Simona Khan, Anas Fahad Liebeskind, Chaya McGillivray, Barbara Truica, Ciprian-Octavian Utka, Andrius Oleskeviciene, Giedre Valunaite van Erp, Marieke Univ Luxembourg Luxembourg Ctr Contemporary & Digital Hist C2DH Luxembourg Luxembourg Univ Politehn Bucuresti Fac Automat Control & Comp Comp Sci & Engn Dept Bucharest Romania CNR Ist Linguist Computaz A Zampolli Rome Italy Jerusalem Coll Technol Dept Comp Sci Jerusalem Israel Kings Coll London Dept Digital Humanities London England Alan Turing Inst London England Vytautas Magnus Univ Ctr Computat Linguist Kaunas Lithuania Mykolas Romeris Univ Inst Humanities Vilnius Lithuania KNAW Humanities Cluster DHLab Amsterdam Netherlands

This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research. The paper's aim is to provide the starting point for the construction of a workflow and set of multilingual diachronic ontologies within the humanities use case of the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, CA18209. The survey focuses on the essential aspects needed to understand the current trends and to build applications in this area of study.

关键词： linguistic linked open data natural language processing semantic change ontologies humanities

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Paving the way for enriched metadata of linguistic linked data

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SEMANTIC WEB 2022年第6期13卷 1133-1157页

作者： di Buono, Maria Pia Oliveira, Hugo Goncalo Mititelu, Verginica Barbu Spahiu, Blerina Nolano, Gennaro Univ Naples LOrientale Dept Literary Linguist & Comparat Studies UniOr NLP Res Grp Naples Italy Univ Coimbra Dept Informat Engn CISUC Coimbra Portugal Romanian Acad Res Inst Artificial Intelligence Bucharest Romania Univ Milano Bicocca Dept Informat Syst & Commun Milan Italy

The need for reusable, interoperable, and interlinked linguistic resources in Natural Language Processing downstream tasks has been proved by the increasing efforts to develop standards and metadata suitable to represent several layers of information. Nevertheless, despite these efforts, the achievement of full compatibility for metadata in linguistic resource production is still far from being reached. Access to resources observing these standards is hindered either by (i) lack of or incomplete information, (ii) inconsistent ways of coding their metadata, and (iii) lack of maintenance. In this paper, we offer a quantitative and qualitative analysis of descriptive metadata and resources availability of two main metadata repositories: LOD Cloud and Annohub. Furthermore, we introduce a metadata enrichment, which aims at improving resource information, and a metadata alignment to META-SHARE ontology, suitable for easing the accessibility and interoperability of such resources.

关键词： linguistic linked open data metadata enrichment meta-share Annohub LOD Cloud

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The Index Thomisticus Treebank as linked data in the LiLa Knowledge Base 13

The Index Thomisticus Treebank as Linked Data in the LiLa Kn...

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13th International Conference on Language Resources and Evaluation (LREC)

作者： Mambrini, Francesco Passarotti, Marco Moretti, Giovanni Pellegrini, Matteo Univ Cattolica Sacro Cuore Milan Italy

ISBN: (纸本)9791095546726

Although the Universal Dependencies initiative today allows for cross-linguistically consistent annotation of morphology and syntax in treebanks for several languages, syntactically annotated corpora are not yet interoperable with many lexical resources that describe properties of the words that occur therein. In order to cope with such limitation, we propose to adopt the principles of the linguistic linked open data community, to describe and publish dependency treebanks as LLOD. In particular, this paper illustrates the approach pursued in the LiLa Knowledge Base, which enables interoperability between corpora and lexical resources for Latin, to publish as linguistic linked open data the annotation layers of two versions of a Medieval Latin treebank (the Index Thomisticus Treebank).

关键词： Treebank linguistic linked open data Latin

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Unifying Morphology Resources with OntoLex-Morph. A Case Study in German 13

Unifying Morphology Resources with OntoLex-Morph. A Case Stu...

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13th International Conference on Language Resources and Evaluation (LREC)

作者： Chiarcos, Christian Faeth, Christian Ionov, Maxim Goethe Univ Frankfurt Appl Computat Linguist ACoLi Frankfurt Germany

ISBN: (纸本)9791095546726

The OntoLex vocabulary has become a widely used community standard for machine-readable lexical resources on the web. The primary motivation to use OntoLex in favor of tool- or application-specific formalisms is to facilitate interoperability and information integration across different resources. One of its extension that is currently being developed is a module for representing morphology, OntoLex-Morph. In this paper, we show how OntoLex-Morph can be used for the encoding and integration of different types of morphological resources on a unified basis. With German as the example, we demonstrate it for (a) a full-form dictionary with inflection information (Unimorph), (b) a dictionary of base forms and their derivations (UDer), (c) a dictionary of compounds (from GermaNet), and (d) lexicon and inflection rules of a finite-state parser/generator (SMOR/Morphisto). These data are converted to OntoLex-Morph, their linguistic information is consolidated and corresponding lexical entries are linked with each other. The main contribution of this paper is the discussion of the current state of OntoLex-Morph and its validation on different types of real-world resources for a single language. In the longer term, the successful application of OntoLex-Morph to such diverse data, along with the adjustments to the vocabulary observed in the process, will be a means to establish interoperability among morphological resources as well as between them and classical lexical data such as dictionaries, WordNets, or thesauri.

关键词： morphology OntoLex linguistic linked open data

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Towards a new Ontology for Sign Languages 13

Towards a new Ontology for Sign Languages

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13th International Conference on Language Resources and Evaluation (LREC)

作者： Declerck, Thierry German Res Ctr Artificial Intelligence DFKI Saarland Informat Campus D3 2 D-66123 Saarbrucken Germany

ISBN: (纸本)9791095546726

We present the current status of a new ontology for representing constitutive elements of Sign Languages (SL). This development emerged from investigations on how to represent multimodal lexical data in the OntoLex-Lemon framework, with the goal to publish such data in the linguistic linked open data (LLOD) cloud. While studying the literature and various sites dealing with sign languages, we saw the need to harmonise all the data categories (or features) defined and used in those sources, and to organise them in an ontology to which lexical descriptions in OntoLex-Lemon could be linked. We make the code of the first version of this ontology available, so that it can be further developed collaboratively by both the linked data and the SL communities.

关键词： Sign Languages Ontology linguistic linked open data OntoLex-Lemon

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Cross-Lingual Link Discovery for Under-Resourced Languages 13

Cross-Lingual Link Discovery for Under-Resourced Languages

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13th International Conference on Language Resources and Evaluation (LREC)

作者： Rosner, Michael Ahmadi, Sina Apostol, Elena-Simona Bosque-Gil, Julia Chiarcos, Christian Dojchinovski, Milan Gkirtzou, Katerina Gracia, Jorge Gromann, Dagmar Liebeskind, Chaya Oleskeviene, Giedre Valunaite Serasset, Gilles Truica, Ciprian-Octavian Univ Malta Msida Malta NUI Galway Galway Ireland Univ Politehn Bucuresti Fac Automat Control & Comp Bucharest Romania Univ Zaragoza Aragon Inst Engn Res I3A Zaragoza Spain Goethe Univ Appl Computat Linguist Frankfurt Germany CTU Fac Informat Technol Prague Czech Republic Athena Res Ctr Inst Language & Speech Proc Athena Greece Mykolas Romeris Univ Inst Humanities Vilnius Lithuania Univ Grenoble Alpes CNRS Grenoble INP LIG Grenoble France Univ Vienna Vienna Austria Jerusalem Coll Technol Jerusalem Israel Uppsala Univ Dept Informat Technol Uppsala Sweden

ISBN: (纸本)9791095546726

In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages. We first introduce the goals of cross-lingual linking and associated technologies, and in particular, the role that the linked data paradigm (Bizer et al., 2011) applied to language data can play in this context. We define under-resourced languages with a specific focus on languages actively used on the internet, i.e., languages with a digitally versatile speaker community, but limited support in terms of language technology. We argue that languages for which considerable amounts of textual data and (at least) a bilingual word list are available, techniques for cross-lingual linking can be readily applied, and that these enable the implementation of downstream applications for under-resourced languages via the localisation and adaptation of existing technologies and resources.

关键词： linguistic data linguistic linked open data linking link discovery

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DefyingWikidata: Validation of Terminological Relations in the Web of data 12

DefyingWikidata: Validation of Terminological Relations in t...

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12th International Conference on Language Resources and Evaluation (LREC)

作者： Martin-Chozas, Patricia Ahmadi, Sina Montiel-Ponsoda, Elena Univ Politecn Madrid Ontol Engn Grp Madrid Spain Natl Univ Ireland Galway Insight Ctr Data Analyt Galway Ireland

ISBN: (纸本)9791095546344

In this paper we present an approach to validate terminological data retrieved from open encyclopaedic knowledge bases. This need arises from the enrichment of automatically extracted terms with information from existing resources in the linguistic linked open data cloud. Specifically, the resource employed for this enrichment is WIKIdata, since it is one of the biggest knowledge bases freely available within the Semantic Web. During the experiment, we noticed that certain RDF properties in the Knowledge Base did not contain the data they are intended to represent, but a different type of information. In this paper we propose an approach to validate the retrieved data based on four axioms that rely on two linguistic theories: the x-bar theory and the multidimensional theory of terminology. The validation process is supported by a second knowledge base specialised in linguistic data;in this case, CONCEPTNET. In our experiment, we validate terms from the legal domain in four languages: Dutch, English, German and Spanish. The final aim is to generate a set of sound and reliable terminological resources in RDF to contribute to the population of the linguistic linked open data cloud.

关键词： linguistic linked open data knowledge representation terminological relations resource population multilingualism

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