Menü Überspringen
Kontakt
Presse
Deutsch
English
Not track
Datenverarbeitung
Suche
Anmelden
DIPF aktuell
Forschung
Infrastrukturen
Institut
Zurück
Kontakt
Presse
Deutsch
English
Not track
Datenverarbeitung
Suche
Startseite
>
Forschung
>
Publikationen
>
Publikationendatenbank
Ergebnis der Suche in der DIPF Publikationendatenbank
Ihre Abfrage:
(Schlagwörter: "Indexierung")
zur erweiterten Suche
Suchbegriff
Nur Open Access
Suchen
Markierungen aufheben
Alle Treffer markieren
Export
10
Inhalte gefunden
Alle Details anzeigen
Temporal analysis on pairs of classified index terms of literature databases
Ma, Zheng; Weihe, Karsten
Sammelbandbeitrag
| Aus: Markscheffel, Bernd;Fischer, Daniel;Büttner, Daniela;Kretschmer, Hildrun (Hrsg.): Collaboration - changing the global landscape of science: Proceedings of 10th International Conference on Webometrics, Informetrics and Scientometrics & 15th COLLNET Meeting 2014 | Ilmenau: Digital Bibliothek Thüringen | 2014
35058 Endnote
Autor*innen:
Ma, Zheng; Weihe, Karsten
Titel:
Temporal analysis on pairs of classified index terms of literature databases
Aus:
Markscheffel, Bernd;Fischer, Daniel;Büttner, Daniela;Kretschmer, Hildrun (Hrsg.): Collaboration - changing the global landscape of science: Proceedings of 10th International Conference on Webometrics, Informetrics and Scientometrics & 15th COLLNET Meeting 2014, Ilmenau: Digital Bibliothek Thüringen, 2014 , S. 457-464
URN:
urn:nbn:de:gbv:ilm1-2014200150
URL:
http://www.db-thueringen.de/servlets/DocumentServlet?id=25162
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Computerlinguistik; Erziehungswissenschaft; Häufigkeit; Indexierung; Inhaltanalyse; Text; Veröffentlichung; Wissen; Wissenschaft
Abstract:
Trend analysis and anomaly detection (Chan & Mahoney, 2005; Wei, Kumar, Lolla, & Keogh, 2005) is gaining more and more interest since more than a decade. It gains focus in the new era of web2.0. As part of the project Knowledge Discovery in Scientific Literature, we developed new promising perspectives to detect trend and other interesting temporal patterns of index terms in the literature databases of educational domain. More specifically, we assign categories to index terms and investigate the index term pairs of special interest. We designed several measures to capture the characteristics of the evolution of individual index terms and pairs of index terms. Result shows our methodology is effective to find interesting temporal patterns, e.g. dependency relationship between index terms and helpful to detect trend. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Automatic annotation suggestions and custom annotation layers in WebAnno
Muhie Yimam, Seid; Eckart de Castilho, Richard; Gurevych, Iryna; Biemann, Chris
Sammelbandbeitrag
| Aus: Bontcheva, Kalina; Jingbo, Zhu (Hrsg.): Proceedings of COLING 2014: System demonstrations | Stroudsburg; PA: Association for Computational Linguistics | 2014
34723 Endnote
Autor*innen:
Muhie Yimam, Seid; Eckart de Castilho, Richard; Gurevych, Iryna; Biemann, Chris
Titel:
Automatic annotation suggestions and custom annotation layers in WebAnno
Aus:
Bontcheva, Kalina; Jingbo, Zhu (Hrsg.): Proceedings of COLING 2014: System demonstrations, Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 91-96
URL:
http://www.aclweb.org/anthology/P/P14/P14-5016.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Automatisierung; Computerlinguistik; Computerprogramm; Fallstudie; Indexierung; Inhaltserschließung; Text; Textanalyse; Tool
Abstract:
In this paper, we present a flexible approach to the efficient and exhaustive manual annotation of text documents. For this purpose, we extend WebAnno (Yimam et al., 2013) an open-source web-based annotation tool. While it was previously limited to specific annotation layers, our extension allows adding and configuring an arbitrary number of layers through a web-based UI. These layers can be annotated separately or simultaneously, and support most types of linguistic annotations such as spans, semantic classes, dependency relations, lexical chains, and morphology. Further, we tightly integrate a generic machine learning component for automatic annotation suggestions of span annotations. In two case studies, we show that automatic annotation suggestions, combined with our split-pane UI concept, significantly reduces annotation time. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Semi-supervised neural networks for nested named entity recognition
Nam, Jinseok
Sammelbandbeitrag
| Aus: Faaß, Getrud;Ruppenhofer, Josef (Hrsg.): Workshop proceedings of the 12th edition of the KONVENS Conference | Hildesheim: Universitätsverlag Hildesheim | 2014
35048 Endnote
Autor*innen:
Nam, Jinseok
Titel:
Semi-supervised neural networks for nested named entity recognition
Aus:
Faaß, Getrud;Ruppenhofer, Josef (Hrsg.): Workshop proceedings of the 12th edition of the KONVENS Conference, Hildesheim: Universitätsverlag Hildesheim, 2014 , S. 144-148
URL:
http://www.uni-hildesheim.de/konvens2014/data/konvens2014-workshop-proceedings.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Algorithmus; Automatisierung; Computerlinguistik; Daten; Indexierung; Lernen; Netzwerk; Text
Abstract (english):
In this paper, we investigate a semi-supervised learning approach based on neural networks for nested named entity recognition on the GermEval 2014 dataset. The dataset consists of triples of a word, a named entity associated with that word in the first-level and one in the second-level. Additionally, the tag distribution is highly skewed, that is, the number of occurrences of certain types of tags is too small. Hence, we present a unified neural network architecture to deal with named entities in both levels simultaneously and to improve generalization performance on the classes that have a small number of labelled examples. (DIPF/Autor)
DIPF-Abteilung:
Informationszentrum Bildung
Knowledge discovery in scientific literature
Nam, Jinseok; Kirschner, Christian; Ma, Zheng; Erbs, Nicolai; Neumann, Susanne; Oelke, Daniela; […]
Sammelbandbeitrag
| Aus: Ruppenhofer, Josef; Faaß, Gertrud (Hrsg.): Proceedings of the 12th edition of the KONVENS Conference | Hildesheim: Universitätsverlag Hildesheim | 2014
34993 Endnote
Autor*innen:
Nam, Jinseok; Kirschner, Christian; Ma, Zheng; Erbs, Nicolai; Neumann, Susanne; Oelke, Daniela; Remus, Steffen; Biemann, Chris; Eckle-Kohler, Judith; Fürnkranz, Johannes; Gurevych, Iryna; Rittberger, Marc; Weihe, Karsten
Titel:
Knowledge discovery in scientific literature
Aus:
Ruppenhofer, Josef; Faaß, Gertrud (Hrsg.): Proceedings of the 12th edition of the KONVENS Conference, Hildesheim: Universitätsverlag Hildesheim, 2014 , S. 66-76
URN:
urn:nbn:de:0111-dipfdocs-182323
URL:
http://www.dipfdocs.de/volltexte/2020/18232/pdf/Knowledge_Discovery_in_Scientific_Literature_A.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Argumentation; Automatisierung; Bildungsforschung; Elektronische Bibliothek; Indexierung; Information Retrieval; Klassifikation; Semantik; Struktur; Text; Wissen; Wissenschaftliche Literatur
Abstract:
Digital libraries allow us to organize a vast amount of publications in a structured way and to extract information of user's interest. In order to support customized use of digital libraries, we develop novel methods and techniques in the Knowledge Discovery in Scientific Literature (KDSL) research program of our graduate school. It comprises several sub-projects to handle specific problems in their own fields. The sub-projects are tightly connected by sharing expertise to arrive at an integrated system. To make consistent progress towards enriching digital libraries to aid users by automatic search and analysis engines, all methods developed in the program are applied to the same set of freely available scientific articles. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
The people's web meets NLP. Collaboratively Constructed Language Resources
Gurevych, Iryna; Kim, Jungi (Hrsg.)
Sammelband
| Dordrecht: Springer | 2013
32811 Endnote
Herausgeber*innen:
Gurevych, Iryna; Kim, Jungi
Titel:
The people's web meets NLP. Collaboratively Constructed Language Resources
Erscheinungsvermerk:
Dordrecht: Springer, 2013 (Theory and applications of natural language processing)
DOI:
10.1007/978-3-642-35085-6
URL:
https://link.springer.com/book/10.1007/978-3-642-35085-6
Dokumenttyp:
2. Herausgeberschaft; Sammelband (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Automatisierung; Computerlinguistik; Computerspiel; Data Mining; Forschung; Gemeinschaft; Indexierung; Kooperation; Mehrsprachigkeit; Methodologie; Nachschlagewerk; Ontologie; Schreiben; Semantic Web; Soziale Software; Sprachanalyse; Sprache; Textanalyse; Textverarbeitung; Wissen; World wide web 2.0
Abstract (english):
The application of collective intelligence in the domain of language yielded collaboratively constructed language resources (CCLR) that can be used in a variety of ways. For example, Wikipedia, Wiktionary, and other language resources constructed through crowdsourcing such as Games with a Purpose and Mechanical Turk have been used in many ways in NLP. Researchers started using such resources to substitute for or supplement conventional lexical semantic resources such as WordNet or linguistically annotated corpora in different NLP tasks. Another research direction is to utilize NLP techniques to enhance the collaboration process and its outcome. Overall the emergence of CCLRs has generated new challenges to the research field that are to be addressed in the present book. As the research field of CCLRs matures, it has become necessary to summarize a set of results to advance and focus the further research effort.
DIPF-Abteilung:
Informationszentrum Bildung
Bringing order to digital libraries. From keyphrase extraction to index term assignment
Erbs, Nicolai; Gurevych, Iryna; Rittberger, Marc
Zeitschriftenbeitrag
| In: D-lib magazine | 2013
33962 Endnote
Autor*innen:
Erbs, Nicolai; Gurevych, Iryna; Rittberger, Marc
Titel:
Bringing order to digital libraries. From keyphrase extraction to index term assignment
In:
D-lib magazine, 19 (2013) 9
DOI:
10.1045/september2013-erbs
URL:
http://www.dlib.org/dlib/september13/erbs/09erbs.html
Dokumenttyp:
3b. Beiträge in weiteren Zeitschriften; wissenschaftsorientiert
Sprache:
Englisch
Schlagwörter:
Automatisierung; Bildung; Computerlinguistik; Dokument; Elektronische Bibliothek; Indexierung; Klassifikation; Volltext
Abstract:
Collections of topically related documents held by digital libraries are valuable resources for users; however, as collections grow, it becomes more difficult to search them for specific information. Structure needs to be introduced to facilitate searching. Assigning index terms is helpful, but it is a tedious task even for professional indexers, requiring knowledge about the collection in general, and the document in particular. Automatic index term assignment (ITA) is considered to be a great improvement. In this paper we present a hybrid approach to index term assignment, using a combination of keyphrase extraction and multi-label classification. Keyphrase extraction efficiently assigns infrequently used index terms, while multi-label classification assigns frequently used index terms. We compare results to other state-of-the-art approaches for related tasks. The assigned index terms allow for a clustering of the document collection. Using hybrid and individual approaches, we evaluate a dataset consisting of German educational documents that was created by professional indexers, and is the first one with German data that allows estimating performance of ITA on languages other than English.
DIPF-Abteilung:
Informationszentrum Bildung
Edutags - Digitale Lernressourcen sammeln und teilen
Heinen, Richard; Blees, Ingo
Zeitschriftenbeitrag
| In: Magazin Digital Lernen | 2013
33945 Endnote
Autor*innen:
Heinen, Richard; Blees, Ingo
Titel:
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
Dokumenttyp:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Sprache:
Deutsch
Schlagwörter:
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
Zeitschriftenbeitrag
| In: Hamburger eLearning-Magazin | 2013
34164 Endnote
Autor*innen:
Heinen, Richard; Kerres, Michael; Blees, Ingo; Rittberger, Marc
Titel:
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
Dokumenttyp:
3b. Beiträge in weiteren Zeitschriften; praxisorientiert
Sprache:
Deutsch
Schlagwörter:
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-Abteilung:
Informationszentrum Bildung
Automatically assigning research methods to journal articles in the domain of social sciences
Eckle-Kohler, Judith; Nghiem, Tri-Duc; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Grove, Andrew (Hrsg.): Proceedings of the 76th Annual Meeting of the Association for Information Science and Technology | Silver Spring; MD; USA: Association for Information Science and Technology | 2013
34042 Endnote
Autor*innen:
Eckle-Kohler, Judith; Nghiem, Tri-Duc; Gurevych, Iryna
Titel:
Automatically assigning research methods to journal articles in the domain of social sciences
Aus:
Grove, Andrew (Hrsg.): Proceedings of the 76th Annual Meeting of the Association for Information Science and Technology, Silver Spring; MD; USA: Association for Information Science and Technology, 2013 , S. 1-8
URL:
http://www.asis.org/asist2013/proceedings/submissions/papers/45paper.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Automatisierung; Computerlinguistik; Computerunterstütztes Verfahren; Indexierung; Metadaten; Methode; Sozialwissenschaften
Abstract:
We investigate the automatic assignment of research methods to journal articles from the domain of Social Sciences. We employ Computer Science and Computational Linguistics methodology to perform this automatic assignment of metadata. The multi-label classification system we present uses only abstracts and titles of journal articles as input. Our best system is able to assign the important research methods empirical and quantitative empirical with F-scores of 0.67 and 0.68. These research methods are in the focus of many recent manual analyses of publications databases. Our classification approach could be applied to automatically analyze large publications databases and databases of bibliographic references according to the use of empirical and quantitative empirical methods.
DIPF-Abteilung:
Informationszentrum Bildung
[Rezension des Buches Knowledge representation in the social semantic web von K. Weller]
Carstens, Carola
Zeitschriftenbeitrag
| In: Information - Wissenschaft & Praxis | 2011
31805 Endnote
Autor*innen:
Carstens, Carola
Titel:
[Rezension des Buches Knowledge representation in the social semantic web von K. Weller]
In:
Information - Wissenschaft & Praxis, 62 (2011) 4, S. 205-206
URL:
http://www.b-i-t-online.de/pdf/iwp/IWP2011-4.pdf
Dokumenttyp:
3b. Beiträge in weiteren Zeitschriften; Bibliografien/Rezensionen u.ä. (z.B. Linktipps)
Sprache:
Deutsch
Schlagwörter:
Indexierung; Internet; Rezension; Semantisches Web; Struktur; Web 2.0; Wissen
DIPF-Abteilung:
Informationszentrum Bildung
Markierungen aufheben
Alle Treffer markieren
Export