Habernal, Ivan ; Daxenberger, Johannes ; Gurevych, Iryna
Hrsg.: Cress, Ulrike ; Moskaliuk, Johannes ; Jeong, Heisawn (2016)
Mass Collaboration on the Web: Textual Content Analysis by Means of Natural Language Processing.
In: Mass Collaboration and Education
doi: 10.1007/978-3-319-13536-6_18
Buchkapitel, Bibliographie
Kurzbeschreibung (Abstract)
This chapter describes perspectives for utilizing natural language processing (NLP) to analyze artifacts arising from mass collaboration on the web. In recent years, the amount of user-generated content on the web has grown drastically. This content is typically noisy and un- or at best semi-structured, so that traditional analysis tools cannot properly handle it. To discover linguistic structures in this data, manual analysis is not feasible due to the large quantities of data. In this chapter, we explain and analyze web-based resources of mass collaboration, namely, wikis, web forums, debate platforms, and blog comments. We introduce recent advances and ongoing efforts to analyze textual content in two of these resources with the help of NLP. This includes an approach to discover flows of knowledge in online mass collaboration as well as methods to mine argumentative structures in natural language text. Finally, we outline application scenarios of the previously discussed techniques and resources within the domain of education.
| Typ des Eintrags: | Buchkapitel |
|---|---|
| Erschienen: | 2016 |
| Herausgeber: | Cress, Ulrike ; Moskaliuk, Johannes ; Jeong, Heisawn |
| Autor(en): | Habernal, Ivan ; Daxenberger, Johannes ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Mass Collaboration on the Web: Textual Content Analysis by Means of Natural Language Processing |
| Sprache: | Englisch |
| Publikationsjahr: | Februar 2016 |
| Verlag: | Springer International Publishing |
| Buchtitel: | Mass Collaboration and Education |
| Reihe: | Computer-Supported Collaborative Learning Series |
| Band einer Reihe: | 16 |
| DOI: | 10.1007/978-3-319-13536-6_18 |
| URL / URN: | http://doi.org/10.1007/978-3-319-13536-6_18 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | This chapter describes perspectives for utilizing natural language processing (NLP) to analyze artifacts arising from mass collaboration on the web. In recent years, the amount of user-generated content on the web has grown drastically. This content is typically noisy and un- or at best semi-structured, so that traditional analysis tools cannot properly handle it. To discover linguistic structures in this data, manual analysis is not feasible due to the large quantities of data. In this chapter, we explain and analyze web-based resources of mass collaboration, namely, wikis, web forums, debate platforms, and blog comments. We introduce recent advances and ongoing efforts to analyze textual content in two of these resources with the help of NLP. This includes an approach to discover flows of knowledge in online mass collaboration as well as methods to mine argumentative structures in natural language text. Finally, we outline application scenarios of the previously discussed techniques and resources within the domain of education. |
| Freie Schlagworte: | UKP_a_LangTech4eHum;UKP_p_TextAsProcess;UKP_invited;UKP_reviewed;UKP_a_ArMin;UKP_a_TexMinAn |
| ID-Nummer: | TUD-CS-2015-0083 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
| PPN: | |
| Zugehörige Links: | |
| Projekte: | CEDIFOR |
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| Suche nach Titel in: | TUfind oder in Google |
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