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(Schlagwörter: "Argumentation")
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Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using […]
Habernal, Ivan; Gurevych, Iryna
Book Chapter
| Aus: Association for Computational Linguistics (Hrsg.): Proceedings of the 54th annual meeting of the Association for Computational Linguistics (ACL 2016): Long papers | Stroudsburg; PA: Association for Computational Linguistics | 2016
36970 Endnote
Author(s):
Habernal, Ivan; Gurevych, Iryna
Title:
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM
In:
Association for Computational Linguistics (Hrsg.): Proceedings of the 54th annual meeting of the Association for Computational Linguistics (ACL 2016): Long papers, Stroudsburg; PA: Association for Computational Linguistics, 2016 , S. 1589-1599
URL:
http://www.aclweb.org/anthology/P16-1150
Publication Type:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Algorithmus; Argumentation; Automatisierung; Computerlinguistik; Kommunikation; Online; Prognose; Qualität; Rhetorik; Soziale Software; Textanalyse; Überzeugung; World wide web 2.0
Abstract (english):
We propose a new task in the field of computational argumentation in which we investigate qualitative properties of Web arguments, namely their convincingness. We cast the problem as relation classification, where a pair of arguments having the same stance to the same prompt is judged. We annotate a large datasets of 16k pairs of arguments over 32 topics and investigate whether the relation "A is more convincing than B" exhibits properties of total ordering; these findings are used as global constraints for cleaning the crowdsourced data. We propose two tasks: (1) predicting which argument from an argument pair is more convincing and (2) ranking all arguments to the topic based on their convincingness. We experiment with feature-rich SVM and bidirectional LSTM and obtain 0.76-0.78 accuracy and 0.35-0.40 Spearman's correlation in a cross-topic evaluation. We release the newly created corpus UKPConvArg1 and the experimental software under open licenses. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Recognizing the absence of opposing arguments in persuasive essays
Stab, Christian; Gurevych, Iryna
Book Chapter
| Aus: Association for Computational Linguistics (Hrsg.): Proceedings of the 3rd Workshop on Argument Mining held in conjunction with the 2016 Annual Meeting of the Association for Computational Linguistics (ACL 2016) | Stroudsburg; PA: Association for Computational Linguistics | 2016
36976 Endnote
Author(s):
Stab, Christian; Gurevych, Iryna
Title:
Recognizing the absence of opposing arguments in persuasive essays
In:
Association for Computational Linguistics (Hrsg.): Proceedings of the 3rd Workshop on Argument Mining held in conjunction with the 2016 Annual Meeting of the Association for Computational Linguistics (ACL 2016), Stroudsburg; PA: Association for Computational Linguistics, 2016 , S. 113-118
URL:
http://aclweb.org/anthology/W/W16/W16-2813.pdf
Publication Type:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Argumentation; Aufsatz; Computerlinguistik; Dokument; Gegensatz; Klassifikation; Modell
Abstract (english):
In this paper, we introduce an approach for recognizing the absence of opposing arguments in persuasive essays. We model this task as a binary document classification and show that adversative transitions in combination with unigrams and syntactic production rules significantly outperform a challenging heuristic baseline. Our approach yields an accuracy of 75.6% and 84% of human performance in a persuasive essay corpus with various topics. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Mass collaboration on the web. Textual content analysis by means of natural language processing
Habernal, Ivan; Daxenberger, Johannes; Gurevych, Iryna
Book Chapter
| Aus: Cress, Ulrike;Moskaliuk, Johannes;Jeong, Heisawn (Hrsg.): Mass collaboration and education | Cham: Springer | 2016
35504 Endnote
Author(s):
Habernal, Ivan; Daxenberger, Johannes; Gurevych, Iryna
Title:
Mass collaboration on the web. Textual content analysis by means of natural language processing
In:
Cress, Ulrike;Moskaliuk, Johannes;Jeong, Heisawn (Hrsg.): Mass collaboration and education, Cham: Springer, 2016 , S. 367-390
DOI:
10.1007/978-3-319-13536-6_18
Publication Type:
4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Language:
Englisch
Keywords:
Argumentation; Computerlinguistik; Data Mining; Daten; Inhaltsanalyse; Text; Web log; Wiki; Wissen
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. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in […]
Habernal, Ivan; Gurevych, Iryna
Book Chapter
| Aus: Association for Computational Linguistics (Hrsg.): Proceedings of the 2016 conference on Empirical Methods in Natural Language Processing (EMNLP) | Stroudsburg; PA: Association for Computational Linguistics | 2016
36989 Endnote
Author(s):
Habernal, Ivan; Gurevych, Iryna
Title:
What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation
In:
Association for Computational Linguistics (Hrsg.): Proceedings of the 2016 conference on Empirical Methods in Natural Language Processing (EMNLP), Stroudsburg; PA: Association for Computational Linguistics, 2016 , S. 1214-1223
URL:
https://aclweb.org/anthology/D16-1129
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Argumentation; Bewertung; Computerlinguistik; Klassifikation; Qualität; Überzeugung
Abstract (english):
This article tackles a new challenging task in computational argumentation. Given a pair of two arguments to a certain controversial topic, we aim to directly assess qualitative properties of the arguments in order to explain why one argument is more convincing than the other one. We approach this task in a fully empirical manner by annotating 26k explanations written in natural language. These explanations describe convincingness of arguments in the given argument pair, such as their strengths or flaws. We create a new crowd-sourced corpus containing 9,111 argument pairs, multi-labeled with 17 classes, which was cleaned and curated by employing several strict quality measures. We propose two tasks on this data set, namely (1) predicting the full label distribution and (2) classifying types of flaws in less convincing arguments. Our experiments with feature-rich SVM learners and Bidirectional LSTM neural networks with convolution and attention mechanism reveal that such a novel fine-grained analysis of Web argument convincingness is a very challenging task. We release the new UKPConvArg2 corpus and software under permissive licenses to the research community. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Forschungsinitiative Sprachdiagnostik und Sprachförderung - Ergebnisse
Redder, Angelika; Naumann, Johannes; Tracy, Rosemarie (Hrsg.)
Compilation Book
| Münster: Waxmann | 2015
36374 Endnote
Editor(s)
Redder, Angelika; Naumann, Johannes; Tracy, Rosemarie
Title:
Forschungsinitiative Sprachdiagnostik und Sprachförderung - Ergebnisse
Published:
Münster: Waxmann, 2015
Publication Type:
2. Herausgeberschaft; Sammelband (keine besondere Kategorie)
Language:
Deutsch
Keywords:
Argumentation; Auditive Wahrnehmung; Bildungsforschung; Bildungssprache; Coaching; Deutsch; Deutschland; Diagnostik; Didaktik; Effektivität; Elementarbereich; Eltern; Empirische Forschung; Erzieher; Fachkraft; Fähigkeit; Grundschule; Grundschüler; Implementierung; Kompetenz; Lesekompetenz; Musische Erziehung; Pädagoge; Schlüsselqualifikation; Schreibkompetenz; Schriftsprache; Sekundarstufe I; Spracherziehung; Sprachförderung; Sprachkompetenz; Test; Training; Türkisch; Unterstützung; Wortschatz
Abstract:
Die "Forschungsinitativa Sprachdiagnostik und Sprachförderung (FiSS)" schlägt in ihrer zweiten Laufzeit die Brücke von der anwendungsbezogenen Grundlagenforschung hin zur Intervention. Wie sind zielgenaue diagnostische Verfahren und wirksame Programme zur Sprachförderung auszugestalten? Welche Faktoren müssen bei ihrer Konzeption und Durchführung beachtet werden? Was können Erzieherinnen und Erzieher, was können Lehrkräfte und Eltern tun, um die sprachliche Qualifizierung ihrer Kinder mit positiven Impulsen anzustoßen und zu begleiten? Der zweite Band der Forschungsinitiative versammelt wichtige Ergebnisse und resümiert darüber hinaus das Forschungsensemle als Ganzes. Er entwickelt Perspektiven für die Implementierung von Sprachförderung in Schulen und Kitas ebenso wie für die Weiterentwicklung der Forschung. (DIPF/Orig.)
DIPF-Departments:
Bildungsqualität und Evaluation
Linking the thoughts. Analysis of argumentation structures in scientific publications
Kirschner, Christian; Eckle-Kohler, Judith; Gurevych, Iryna
Book Chapter
| Aus: Association for Computational Linguistics (Hrsg.): Proceedings of the 2nd Workshop on Argumentation Mining held in conjunction with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT 2015) | Denver; CO: Association for Computational Linguistics | 2015
35503 Endnote
Author(s):
Kirschner, Christian; Eckle-Kohler, Judith; Gurevych, Iryna
Title:
Linking the thoughts. Analysis of argumentation structures in scientific publications
In:
Association for Computational Linguistics (Hrsg.): Proceedings of the 2nd Workshop on Argumentation Mining held in conjunction with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT 2015), Denver; CO: Association for Computational Linguistics, 2015 , S. 1-11
URL:
https://aclweb.org/anthology/W/W15/W15-05.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Argumentation; Automatisierung; Bildungsforschung; Computerlinguistik; Data Mining; Klassifikation; Textanalyse; Veröffentlichung
Abstract:
This paper presents the results of an annotation study focused on the fine-grained analysis of argumentation structures in scientific publications. Our new annotation scheme specifies four types of binary argumentative relations between sentences, resulting in the representation of arguments as small graph structures. We developed an annotation tool that supports the annotation of such graphs and carried out an annotation study with four annotators on 24 scientific articles from the domain of educational research. For calculating the inter-annotator agreement, we adapted existing measures and developed a novel graph based agreement measure which reflects the semantic similarity of different annotation graphs. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Annotating argument components and relations in persuasive essays
Stab, Christian; Gurevych, Iryna
Book Chapter
| Aus: Tsujii, Junichi;Hajic, Jan (Hrsg.): Proceedings of COLING 2014: Technical papers | Stroudsburg; PA: Association for Computational Linguistics | 2014
34976 Endnote
Author(s):
Stab, Christian; Gurevych, Iryna
Title:
Annotating argument components and relations in persuasive essays
In:
Tsujii, Junichi;Hajic, Jan (Hrsg.): Proceedings of COLING 2014: Technical papers, Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 1501-1510
URL:
http://anthology.aclweb.org/C/C14/C14-1142.pdf
Publication Type:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Argumentation; Automatisierung; Computerlinguistik; Diskurs; Klassifikation; Modell; Qualität; Reliabilität; Text; Textanalyse
Abstract:
In this paper, we present a novel approach to model arguments, their components and relations in persuasive essays in English. We propose an annotation scheme that includes the annotation of claims and premises as well as support and attack relations for capturing the structure of argumentative discourse. We further conduct a manual annotation study with three annotators on 90 persuasive essays. The obtained inter-rater agreement of αU = 0.72 for argument components and α = 0.81 for argumentative relations indicates that the proposed annotation scheme successfully guides annotators to substantial agreement. The final corpus and the annotation guidelines are freely available to encourage future research in argument recognition. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Knowledge discovery in scientific literature
Nam, Jinseok; Kirschner, Christian; Ma, Zheng; Erbs, Nicolai; Neumann, Susanne; Oelke, Daniela; […]
Book Chapter
| Aus: Ruppenhofer, Josef; Faaß, Gertrud (Hrsg.): Proceedings of the 12th edition of the KONVENS Conference | Hildesheim: Universitätsverlag Hildesheim | 2014
34993 Endnote
Author(s):
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
Title:
Knowledge discovery in scientific literature
In:
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
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
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-Departments:
Informationszentrum Bildung
Identifying argumentative discourse structures in persuasive essays
Stab, Christian; Gurevych, Iryna
Book Chapter
| Aus: Moschitti, Alessandro;Pang, Bo;Daelemans, Walter (Hrsg.): Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014) | Stroudsburg; PA: Association for Computational Linguistics | 2014
34986 Endnote
Author(s):
Stab, Christian; Gurevych, Iryna
Title:
Identifying argumentative discourse structures in persuasive essays
In:
Moschitti, Alessandro;Pang, Bo;Daelemans, Walter (Hrsg.): Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 46-56
URL:
http://aclweb.org/anthology/D/D14/D14-1006.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Argumentation; Aufsatz; Computerlinguistik; Klassifikation; Struktur; Textanalyse
Abstract:
In this paper, we present a novel approach for identifying argumentative discourse structures in persuasive essays. The structure of argumentation consists of several components (i.e. claims and premises) that are connected with argumentative relations. We consider this task in twoconsecutive steps. First, we identify the components of arguments using multiclass classification. Second, we classify a pair of argument components as either support or non-support for identifying the structure of argumentative discourse. For both tasks, we evaluate several classifiers and propose novel feature sets including structural, lexical, syntactic and contextual features. In our experiments, we obtain a macro F1-score of 0.726 for identifying argument components and 0.722 for argumentative relations. (DIPF/Org.)
DIPF-Departments:
Informationszentrum Bildung
Argumentation integrity in intercultural education. A teaching project about a […]
Bender-Szymanski, Dorothea
Journal Article
| In: Intercultural Education | 2013
34008 Endnote
Author(s):
Bender-Szymanski, Dorothea
Title:
Argumentation integrity in intercultural education. A teaching project about a religious-ideological dialogue as challenge for school
In:
Intercultural Education, 24 (2013) 6, S. 573-591
DOI:
10.1080/14675986.2013.845932
URL:
http://dx.doi.org/10.1080/14675986.2013.845932
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Englisch
Keywords:
Argumentation; Befragung; Deutschland; Empirische Untersuchung; Evaluation; Gesprächsführung; Interkulturelle Kompetenz; Interkulturelles Lernen; Interreligiöser Dialog; Interreligiöses Lernen; Islam; Lehrerausbildung; Moslem; Projektunterricht; Simulation; Unterrichtsgestaltung
Abstract:
In this article, we describe the multiple phases of a teaching project that was constructed around an actual request by a Muslim community in the Federal Republic of Germany (FRG) to establish an Islamic cultural centre. The request provoked a sometimes heated discussion among politicians and citizens that was published in daily newspapers. A large number of the arguments that appeared in the newspapers failed to meet fair argumentation standards and strategies. The teaching project described here therefore aimed to sensitize future teachers to issues of argumentation integrity in dialogues, especially between persons with different religious and ideological convictions. The project was subdivided into three main phases, which treated the topic from different perspectives and with different methods: a simulation game dealing with the request by the Muslim community, a theory-based phase in which participants became acquainted with a construct of argumentation integrity and from this deduced standards and strategies relating to unfair argumentation, and an application phase in which the participants had to examine published arguments by politicians relating to the request by the Muslim community in order to identify rule violations in argumentations. The empirical results suggest that the project promoted insight into unfair argumentation. Such insight can improve interreligious and intercultural communication processes at school.
DIPF-Departments:
Bildung und Entwicklung
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