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(Schlagwörter: "World wide web 2.0")
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Language resources and evaluation journal. Special issue on collaboratively constructed language […]
Gurevych, Iryna; Zesch, Torsten (Hrsg.)
Compilation Book
| Berlin: Springer | 2013
32564 Endnote
Editor(s)
Gurevych, Iryna; Zesch, Torsten
Title:
Language resources and evaluation journal. Special issue on collaboratively constructed language resources
Published:
Berlin: Springer, 2013 (47, 1)
URL:
http://link.springer.com/journal/10579/47/1/page/1
Publication Type:
2. Herausgeberschaft; Zeitschriftensonderheft
Language:
Englisch
Keywords:
Computerlinguistik; Sprachanalyse; Kooperation; Vernetzung; World wide web 2.0; Wiki; Wörterbuch; Sprache; Text; Analyse
Abstract (english):
The selection of papers for this Special Issue is intended to cover a broad set of topics in the fields of collective intelligence and language resources, such as (1) the use of crowdsourcing to generate training data for machine learning algorithms, (2) the use of web-based platforms to collaboratively annotate linguistic corpora, (3) the semi-automatic construction of lexical semantic resources through mining Wiktionary, and (4) the construction of a word sense inventory with results from Amazon Mechanical Turk and using it for a lexical substitution task. (DIPF/Autor)
DIPF-Departments:
Informationszentrum Bildung
Edutags als Referatory und "Suchmaschine" für Open Educational Resources
Blees, Ingo; Heinen, Richard
Journal Article
| In: Zeitschrift für Hochschulentwicklung | 2013
34076 Endnote
Author(s):
Blees, Ingo; Heinen, Richard
Title:
Edutags als Referatory und "Suchmaschine" für Open Educational Resources
In:
Zeitschrift für Hochschulentwicklung, 8 (2013) 4, S. 26-36
URN:
urn:nbn:de:0111-dipfdocs-86329
URL:
http://www.dipfdocs.de/volltexte/2014/8632/pdf/Blees_Heinen_Edutags_als_Referatory_und_Suchmaschine_zfhe.pdf
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Deutsch
Keywords:
Arbeitsmaterial; Information Retrieval; Metadaten; Modell; Open Access; Schulsystem; Soziale Software; Suchmaschine; Unterrichtsmittel; World wide web 2.0
Abstract:
Der Social-Bookmarking-/Social-Tagging-Dienst Edutags vom Learning Lab der Universität Duisburg-Essen und dem Deutschen Bildungsserver wird anhand von drei Modellen, in denen Optionen für das Aggregieren und Auffinden von Open Educational Resources (OER) skizziert werden, auf sein Potenzial als Discovery Tool für OER untersucht. Der in diesem Werkstattbericht vorgestellte Ansatz basiert im Kern auf Crowdsourcing sowie der Nachnutzung von maschinenlesbaren Lizenzen und weiteren Metadaten.
Abstract (english):
This article discusses the social bookmarking / social tagging service Edutags, which was developed by Learning Lab of University Duisburg - Essen and German Eduserver, in terms of its potential as a discovery tool for Open Educational Resources (OER). Three models are used that briefly outline options for the aggregation and retrievability of OER. The approach described here is essentially based on crowdsourcing, as well as machine-readable licenses and additional metadata.
DIPF-Departments:
Informationszentrum Bildung
Collective intelligence and language resources. Introduction to the special issue on […]
Gurevych, Iryna; Zesch, Torsten
Journal Article
| In: Language Resources and Evaluation Journal | 2013
33139 Endnote
Author(s):
Gurevych, Iryna; Zesch, Torsten
Title:
Collective intelligence and language resources. Introduction to the special issue on collaboratively constructed language resources
In:
Language Resources and Evaluation Journal, 47 (2013) 1, S. 1-7
DOI:
10.1007/s10579-012-9178-z
URL:
https://link.springer.com/article/10.1007/s10579-012-9178-z
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft
Language:
Englisch
Keywords:
Computerlinguistik; Fachwissenschaft; Gemeinschaft; Intelligenz; Kooperation; Öffentlichkeit; Text; World wide web 2.0
Abstract (english):
The selection of papers for this Special Issue is intended to cover a broad set of topics in the fields of collective intelligence and language resources, such as (1) the use of crowdsourcing to generate training data for machine learning algorithms, (2) the use of web-based platforms to collaboratively annotate linguistic corpora, (3) the semi-automatic construction of lexical semantic resources through mining Wiktionary, and (4) the construction of a word sense inventory with results from Amazon Mechanical Turk and using it for a lexical substitution task. Although the papers in this special issue cannot cover the full range of current research involving CCLRs because of limited space, the topics represent a broad sample that should provide an ample taste of work in the field.
DIPF-Departments:
Informationszentrum Bildung
Multilingual knowledge in aligned Wiktionary and OmegaWiki for translation applications
Matuschek, Michael; Meyer, Christian M.; Gurevych, Iryna
Journal Article
| In: Translation: Corpora, Computation, Cognition (TC3) | 2013
33808 Endnote
Author(s):
Matuschek, Michael; Meyer, Christian M.; Gurevych, Iryna
Title:
Multilingual knowledge in aligned Wiktionary and OmegaWiki for translation applications
In:
Translation: Corpora, Computation, Cognition (TC3), 3 (2013) 1, S. 87-118
URL:
https://www.blogs.uni-mainz.de/fb06-tc3/files/2015/11/20-149-1-PB.pdf
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Automatisierung; Computerlinguistik; Computerunterstütztes Verfahren; Mehrsprachigkeit; Quelle; Semantik; Übersetzung; World wide web 2.0; Wortschatz
Abstract:
Multilingual lexical-semantic resources play an important role in translation applications. However, multilingual resources with sufficient quality and coverage are rare as the effort of manually constructing such a resource is substantial. In recent years, the emergence of Web 2.0 has opened new possibilities for constructing large-scale lexical-semantic resources. We identified Wiktionary and OmegaWiki as two important multilingual initiatives where a community of users ("crowd") collaboratively edits and refines the lexical information. They seem especially appropriate in the multilingual domain as users from all languages and cultures can easily contribute. However, despite their advantages such as open access and coverage of multiple languages, these resources have hardly been systematically investigated and utilized until now. Therefore, the goals of our contribution are threefold: (1) We analyze how these resources emerged and characterize their content and structure; (2) We propose an alignment at the word sense level to exploit the complementary information contained in both resources for increased coverage; (3) We describe a mapping of the resources to a standardized, unified model (UBY-LMF) thus creating a large freely available multilingual resource designed for easy integration into applications such as machine translation or computer-aided translation environments.
DIPF-Departments:
Informationszentrum Bildung
Edutags - Digitale Lernressourcen sammeln und teilen
Heinen, Richard; Blees, Ingo
Journal Article
| In: Magazin Digital Lernen | 2013
33945 Endnote
Author(s):
Heinen, Richard; Blees, Ingo
Title:
Edutags - Digitale Lernressourcen sammeln und teilen
In:
Magazin Digital Lernen, (2013)
URL:
http://www.digital-lernen.de/no_cache/nachrichten/diverses/artikel/edutags-digitale-lernresourcen-sammeln-und-teilen.html
Publication Type:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Language:
Deutsch
Keywords:
Arbeitsmaterial; Indexierung; Lerninhalt; Soziale Software; Unterrichtsmittel; World wide web 2.0
Abstract:
Der Artikel gibt einen Überblick über das Tool Edutags, den Social Bookmarking-Dienst für Lehrkräfte des Deutschen Bildungsservers. Die Idee des Social Bookmarking wird erläutert, Schnittstellen zu anderen Systemen wie z.B. Lernmanagement-Systemen werden beschrieben und schließlich wird der Aufbau einer Sammlung freier Bildungsinhalte mit Hilfe von Edutags dargestellt.
Offene Ökosysteme für OER
Heinen, Richard; Kerres, Michael; Blees, Ingo; Rittberger, Marc
Journal Article
| In: Hamburger eLearning-Magazin | 2013
34164 Endnote
Author(s):
Heinen, Richard; Kerres, Michael; Blees, Ingo; Rittberger, Marc
Title:
Offene Ökosysteme für OER
In:
Hamburger eLearning-Magazin, 11 (2013) , S. 28-30
URL:
http://www.uni-hamburg.de/eLearning/eCommunity/Hamburger_eLearning_Magazin/eLearningMagazin_11.pdf
Publication Type:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Language:
Deutsch
Keywords:
Indexierung; Informationssystem; Infrastruktur; Online; Open Access; Soziale Software; Unterrichtsmedien; World wide web 2.0; Zugang
Abstract:
Der Beitrag beschreibt mit Blick auf die Verfügbarkeit von Online-Bildungsmedien das Zusammenspiel von Content-, Verweis- und Schulplattformen am Beispiel des Social Bookmarking-Dienstes Edutags. Als Aggregationsformen für Verweisplattformen werden redaktionelle Pflege, automatisierte Aggregation und User-generated Content angeführt, wobei letzterem besondere Bedeutung zukommt, da dadurch die tatsächliche Nutzung von Medien im Lehr-Lernkontext sichtbar gemacht wird. Damit die Möglichkeiten gemeinschaftlicher Wissensproduktion voll ausgeschöpft werden können, werden informationell offene Ökosysteme für Bildungsprozesse empfohlen.
DIPF-Departments:
Informationszentrum Bildung
Edutags. Social Bookmarking für die Kooperation von Lehrkräften
Blees, Ingo; Heinen, Richard
Book Chapter
| Aus: Hobohm, Hans-Christoph (Hrsg.): Informationswissenschaft zwischen virtueller Infrastruktur und materiellen Lebenswelten: Proceedings des 13. Internationalen Symposiums für Informationswissenschaft (ISI 2013) | Boizenburg: Hülsbusch | 2013
33591 Endnote
Author(s):
Blees, Ingo; Heinen, Richard
Title:
Edutags. Social Bookmarking für die Kooperation von Lehrkräften
In:
Hobohm, Hans-Christoph (Hrsg.): Informationswissenschaft zwischen virtueller Infrastruktur und materiellen Lebenswelten: Proceedings des 13. Internationalen Symposiums für Informationswissenschaft (ISI 2013), Boizenburg: Hülsbusch, 2013 (Schriften zur Informationswissenschaft, 63), S. 475-477
URN:
urn:nbn:de:kobv:525-3876
URL:
http://opus4.kobv.de/opus4-fhpotsdam/files/387/ISI%2713-komplett.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Deutsch
Keywords:
Design; Entwicklung; Kooperation; Lehrer; Soziale Software; Unterrichtsmedien; World wide web 2.0
Abstract:
Edutags ist ein Social Bookmarking Dienst, der speziell auf den Bedarf von Lehrkräften zugeschnitten ist. Dargestellt werden das partizipatorische Systemdesign, der Funktionsumfang und die weiteren Entwicklungsperspektiven.
Abstract (english):
Edutags is a social bookmarking service customized for teachers' usage. The participatory systems design, the information system's functionality and its perspective of further development are described.
DIPF-Departments:
Informationszentrum Bildung
Automatically classifying edit categories in wikipedia revisions
Daxenberger, Johannes; Gurevych, Iryna
Book Chapter
| Aus: Yarowsky, David;Baldwin, Timothy;Korhonen, Anna;Livescu, Karen;Bethard, Steven (Hrsg.): Conference on Empirical Methods in Natural Language Processing (EMNLP 2013) | Stroudsburg; PA: Association for Computational Linguistics | 2013
34053 Endnote
Author(s):
Daxenberger, Johannes; Gurevych, Iryna
Title:
Automatically classifying edit categories in wikipedia revisions
In:
Yarowsky, David;Baldwin, Timothy;Korhonen, Anna;Livescu, Karen;Bethard, Steven (Hrsg.): Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), Stroudsburg; PA: Association for Computational Linguistics, 2013 , S. 578-589
URL:
https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2013/EMNLP2013_DaxenbergerGurevych.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Automatisierung; Computerlinguistik; Computerunterstütztes Verfahren; Evaluation; Korrektur; Nachschlagewerk; Qualität; Taxonomie; Textanalyse; World wide web 2.0
Abstract:
In this paper, we analyze a novel set of features for the task of automatic edit category classification. Edit category classification assigns categories such as spelling error correction, paraphrase or vandalism to edits in a document. Our features are based on differences between two versions of a document including meta data, textual and language properties and markup. In a supervised machine learning experiment, we achieve a micro-averaged F1 score of .62 on a corpus of edits from the English Wikipedia. In this corpus, each edit has been multi-labeled according to a 21-category taxonomy. A model trained on the same data achieves state-of-the-art performance on the related task of fluency edit classification. We apply pattern mining to automatically labeled edits in the revision histories of different Wikipedia articles. Our results suggest that high-quality articles show a higher degree of homogeneity with respect to their collaboration patterns as compared to random articles.
DIPF-Departments:
Informationszentrum Bildung
The impact of topic bias on quality flaw prediction in Wikipedia
Ferschke, Oliver; Gurevych, Iryna; Rittberger, Marc
Book Chapter
| Aus: Association of Computational Linguistics (Hrsg.): 51st Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference System Demonstrations | Stroudsburg; PA: Association for Computational Linguistics | 2013
33527 Endnote
Author(s):
Ferschke, Oliver; Gurevych, Iryna; Rittberger, Marc
Title:
The impact of topic bias on quality flaw prediction in Wikipedia
In:
Association of Computational Linguistics (Hrsg.): 51st Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference System Demonstrations, Stroudsburg; PA: Association for Computational Linguistics, 2013 , S. 721-730
URN:
urn:nbn:de:0111-dipfdocs-184570
URL:
http://www.dipfdocs.de/volltexte/2020/18457/pdf/The_impact_of_topic_bias_on_quality_flaw_prediction_in_Wikipedia_A.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Algorithmus; Computerunterstütztes Verfahren; Evaluation; Nachschlagewerk; Online; Qualität; Qualitätssicherung; Reliabilität; Soziale Software; Standard; World wide web 2.0
Abstract:
With the increasing amount of user generated reference texts in the web, automatic quality assessment has become a key challenge. However, only a small amount of annotated data is available for training quality assessment systems. Wikipedia contains a large amount of texts annotated with cleanup templates which identify quality flaws. We show that the distribution of these labels is topically biased, since they cannot be applied freely to any arbitrary article. We argue that it is necessary to consider the topical restrictions of each label in order to avoid a sampling bias that results in a skewed classifier and overly optimistic evaluation results. We factor out the topic bias by extracting reliable training instances from the revision history which have a topic distribution similar to the labeled articles. This approach better reflects the situation a classifier would face in a real-life application.
DIPF-Departments:
Informationszentrum Bildung
FrameNet on the way to Babel. Creating a bilingual FrameNet using Wiktionary as interlingual […]
Hartmann, Silvana; Gurevych, Iryna
Book Chapter
| Aus: Association of Computational Linguistics (Hrsg.): 51st Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference System Demonstrations | Stroudsburg; PA: Association for Computational Linguistics | 2013
33526 Endnote
Author(s):
Hartmann, Silvana; Gurevych, Iryna
Title:
FrameNet on the way to Babel. Creating a bilingual FrameNet using Wiktionary as interlingual connection
In:
Association of Computational Linguistics (Hrsg.): 51st Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference System Demonstrations, Stroudsburg; PA: Association for Computational Linguistics, 2013 , S. 1363-1373
URL:
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.386.1725&rep=rep1&type=pdf#page=49pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Computerlinguistik; Evaluation; Konzeption; Lexikograhie; Lexikon; Methode; Semantik; Soziale Software; World wide web 2.0; Zweisprachigkeit
Abstract:
We present a new bilingual FrameNet lexicon for English and German. It is created through a simple, but powerful approach to construct a FrameNet in any language using Wiktionary as an interlingual representation. Our approach is based on a sense alignment of FrameNet and Wiktionary, and subsequent translation disambiguation into the target language. We perform a detailed evaluation of the created resource and a discussion of Wiktionary as an interlingual connection for the cross-language transfer of lexical-semantic resources. The created resource is publicly available at http://www.ukp.tu-darmstadt.de/fnwkde/
DIPF-Departments:
Informationszentrum Bildung
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