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Linking the thoughts. Analysis of argumentation structures in scientific publications
Kirschner, Christian; Eckle-Kohler, Judith; Gurevych, Iryna
Sammelbandbeitrag
| 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
Autor*innen:
Kirschner, Christian; Eckle-Kohler, Judith; Gurevych, Iryna
Titel:
Linking the thoughts. Analysis of argumentation structures in scientific publications
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 , S. 1-11
URL:
https://aclweb.org/anthology/W/W15/W15-05.pdf
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
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-Abteilung:
Informationszentrum Bildung
Constructive feedback, thinking process and cooperation. Assessing the quality of classroom […]
Sousa, Tahir; Flekova, Lucie; Mieskes, Margot; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Möller, Sebastian (Hrsg.): Proceedings of the Interspeech 2015 Conference Dresden | Berlin: Technische Universität | 2015
35635 Endnote
Autor*innen:
Sousa, Tahir; Flekova, Lucie; Mieskes, Margot; Gurevych, Iryna
Titel:
Constructive feedback, thinking process and cooperation. Assessing the quality of classroom interaction
Aus:
Möller, Sebastian (Hrsg.): Proceedings of the Interspeech 2015 Conference Dresden, Berlin: Technische Universität, 2015 , S. 2739-2743
Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Computerlinguistik; Datenanalyse; Denken; Deutschland; Diskursanalyse; Feedback; Interaktionsanalyse; Klassifikation; Kooperation; Mathematikunterricht; Qualität; Schulklasse; Schweiz; Semantik; Soziale Interaktion; Sprachanalyse; Unterrichtsforschung; Video
Abstract:
Analyzing and assessing the quality of classroom lessons on a range of quality dimensions is a number one educational research topic, as this allows developing teacher trainings and interventions to improve lesson quality. We model this assessment as a text classification task, exploiting linguistic features to predict the scores in several lesson quality dimensions relevant for educational researchers. Our work relies on a variety of phenomena, amongst them paralinguistic features, such as laughter, from real classroom interactions. We used these features to train machine learning models to assess various quality dimensions of school lessons. Our results show, that especially features focusing on the discourse and semantics are beneficial for this classification task. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Predicting the difficulty of language proficiency tests
Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Zeitschriftenbeitrag
| In: Transactions of the Association for Computational Linguistics | 2014
34990 Endnote
Autor*innen:
Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Titel:
Predicting the difficulty of language proficiency tests
In:
Transactions of the Association for Computational Linguistics, 2 (2014) , S. 517-529
URL:
http://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/414/88
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Computerlinguistik; Datenanalyse; Deutschland; Fremdsprache; Kenntnisse; Lernerfolg; Prognose; Schwierigkeit; Sprachfertigkeit; Sprachtest; Student; Verfahren
Abstract:
Language proficiency tests are used to evaluate and compare the progress of language learners. We present an approach for automatic difficulty prediction of C-tests that performs on par with human experts. On the basis of detailed analysis of newly collected data, we develop a model for C-test difficulty introducing four dimensions: solution difficulty, candidate ambiguity, inter-gap dependency, and paragraph difficulty. We show that cues from all four dimensions contribute to C-test difficulty. (DIPF/Org.)
DIPF-Abteilung:
Informationszentrum Bildung
Comparative exploration of document collections. A visual analytics approach
Oelke, Daniela; Strobelt, Hendrik; Rohrdantz, Christian; Gurevych, Iryna; Deussen, Oliver
Zeitschriftenbeitrag
| In: Computer Graphics Forum | 2014
34578 Endnote
Autor*innen:
Oelke, Daniela; Strobelt, Hendrik; Rohrdantz, Christian; Gurevych, Iryna; Deussen, Oliver
Titel:
Comparative exploration of document collections. A visual analytics approach
In:
Computer Graphics Forum, 33 (2014) 3, S. 201-210
DOI:
10.1111/cgf.12376
Dokumenttyp:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache:
Englisch
Schlagwörter:
Automatisierung; Computergrafik; Computerlinguistik; Informationssystem; Methode; Modellierung; Semantik; Textanalyse; Vergleich; Visualisierung
Abstract:
We present an analysis and visualization method for computing what distinguishes a given document collection from others. We determine topics that discriminate a subset of collections from the remaining ones by applying probabilistic topic modeling and subsequently approximating the two relevant criteria distinctiveness and characteristicness algorithmically through a set of heuristics. Furthermore, we suggest a novel visualization method called DiTop-View, in which topics are represented by glyphs (topic coins) that are arranged on a 2D plane. Topic coins are designed to encode all information necessary for performing comparative analyses such as the class membership of a topic, its most probable terms and the discriminative relations. We evaluate our topic analysis using statistical measures and a small user experiment and present an expert case study with researchers from political sciences analyzing two real-world datasets. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Suchen als Methode? Zu einigen Problemen digitaler Metapherndetektion
Gehring, Petra; Gurevych, Iryna
Zeitschriftenbeitrag
| In: Journal Phänomenologie - Schwerpunktthema: Metaphern als strenge Wissenschaft | 2014
34988 Endnote
Autor*innen:
Gehring, Petra; Gurevych, Iryna
Titel:
Suchen als Methode? Zu einigen Problemen digitaler Metapherndetektion
In:
Journal Phänomenologie - Schwerpunktthema: Metaphern als strenge Wissenschaft, 21 (2014) 41, S. 99-109
URL:
https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/sp_gehring_gurevych.pdf
Dokumenttyp:
3b. Beiträge in weiteren Zeitschriften; wissenschaftsorientiert
Sprache:
Deutsch
Schlagwörter:
Algorithmus; Computerlinguistik; Computerunterstütztes Verfahren; Diskurs; Metapher; Recherche; Textanalyse
Abstract:
Eine Vielzahl von geistes-, kultur- und textwissenschaftlichen Disziplinen nimmt aktuell die Metapher in den Blick. Seit mehreren Jahrzehnten wuchs das Interesse an Metaphorik an: Neben linguistischen Untersuchungen, die zumeist das Ganze eines Sprachsystems (oder modellhaft Kognitionssystems) oder aber empirische Daten alltagsprachlichen Zuschnitts zum Hintergrund haben, jedoch auch Fachsprachen oder Diskurse oder andere textlinguistisch oder textpragmatisch bestimmte Materialien zum Gegenstand haben können, sind es literatur- und kulturwissenschaftliche Forschungen, die sich an Metaphernvorkommen festmachen: Motivforschung, Toposforschung sagte man früher. Heute spricht man auch hier von Diskursen. Hinzu kommt ein Alltagskultur und Literatur allenfalls berührendes Feld: die Wissens-, Wissenschafts- und Ideengeschichte, deren Augenmerk der Theoriesprache der Forschung gilt: Tropen, in welchen Rationalitäten sich umzugestalten scheinen, Tropen, in welchen ein "Mut" des Geistes sich "in seinen Bildern selbst voraus" ist. Wissensgeschichte als Metapherngeschichte: hierfür stehen heute-erwachsen aus global gesehen einer gewissen Sondertradition, der deutschsprachigen Begriffsgeschichte der 1970er und 1980er Jahre- die Namen Reinhart Koselleck ("historische Semantik") sowie Hans Blumenberg ("Metaphorologie"). Parallel, dabei aber ganz anders ausgerichtet, haben Metapherntheorien Konjunktur - seit längerem in der Sprachphilosophie sowie neuerdings in der sogenannten Philosophy of Mind, in Psycholinguistik sowie psychologischer Emotionsforschung, dazu in Soziologie und Politikwissenschaft. Keinesfalls wird also unter dem Namen Metapher/metaphor überall am selben Gegenstand geforscht. Festhalten lässt sich hingegen: Die Metapher boomt. Sie wird auf ganz unterschiedliche Weise als Schlüssel zu semantikorientierten, pragmatikorientierten oder sogar medienorientierten Fragen genutzt. Gebraucht werden in dieser Lage: Methoden. Damit nähern wir uns unserem Thema. (DIPF/Autor)
DIPF-Abteilung:
Informationszentrum Bildung
DKPro TC. A Java-based framework for supervised learning experiments on textual data
Daxenberger, Johannes; Ferschke, Oliver; Gurevych, Iryna; Zesch, Torsten
Sammelbandbeitrag
| Aus: Bontcheva, Kalina; Jingbo, Zhu (Hrsg.): Proceedings of COLING 2014: System demonstrations | Stroudsburg; PA: Association for Computational Linguistics | 2014
34721 Endnote
Autor*innen:
Daxenberger, Johannes; Ferschke, Oliver; Gurevych, Iryna; Zesch, Torsten
Titel:
DKPro TC. A Java-based framework for supervised learning experiments on textual data
Aus:
Bontcheva, Kalina; Jingbo, Zhu (Hrsg.): Proceedings of COLING 2014: System demonstrations, Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 61-66
URL:
http://aclweb.org/anthology/P/P14/P14-5011.pdf
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Automatisierung; Computerlinguistik; Computerprogramm; Data Mining; Datenverarbeitung; Klassifikation; Programmiersprache; Text; Textanalyse
Abstract:
We present DKPro TC, a framework for supervised learning experiments on textual data. The main goal of DKPro TC is to enable researchers to focus on the actual research task behind the learning problem and let the framework handle the rest. It enables rapid prototyping of experiments by relying on an easy-to-use workflow engine and standardized document preprocessing based on the Apache Unstructured Information Management Architecture (Ferrucci and Lally, 2004). It ships with standard feature extraction modules, while at the same time allowing the user to add customized extractors. The extensive reporting and logging facilities make DKPro TC experiments fully replicable. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Solving open-domain multiple choice questions with textual entailment and text similarity measures
Dhruva, Neil; Ferschke, Oliver; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Cappellato, Linda;Ferro, Nicola;Halvey, Martin;Kraaij, Wessel (Hrsg.): CLEF2014 Working Notes: Working Notes for the CLEF 2014 Conference, Sheffield, UK, September 15-18, 2014 | Aachen: RWTH | 2014
34977 Endnote
Autor*innen:
Dhruva, Neil; Ferschke, Oliver; Gurevych, Iryna
Titel:
Solving open-domain multiple choice questions with textual entailment and text similarity measures
Aus:
Cappellato, Linda;Ferro, Nicola;Halvey, Martin;Kraaij, Wessel (Hrsg.): CLEF2014 Working Notes: Working Notes for the CLEF 2014 Conference, Sheffield, UK, September 15-18, 2014, Aachen: RWTH, 2014 (Workshop Proceedings, 1180), S. 1375-1385
URN:
urn:nbn:de:0074-1180-0
URL:
http://ceur-ws.org/Vol-1180/CLEF2014wn-QA-DhruvaEt2014.pdf
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Antwort; Computerlinguistik; Computerunterstütztes Verfahren; Frage; Leseverstehen; Multiple-Choice-Verfahren; Textverständnis
Abstract:
In this paper, we present a system for automatically answering open-domain, multiple choice reading comprehension questions about short English narrative texts. The system is based on state-of-the-art text similarity measures, textual entailment metrics and coreference resolution and does not make use of any additional domain specific background knowledge. Each answer option is scored with a combination of all evaluation metrics and ranked according to their overall score in order to determine the most likely correct answer. Our best configuration achieved the second highest score across all competing system in the entrance exam grading challenge with a c@1 score of 0.375. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
A broad-coverage collection of portable NLP components for building shareable analysis pipelines
Eckart de Castilho, Richard; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Ide, Nancy; Grivolla, Jens (Hrsg.): Proceedings of the Workshop on Open Infrastructures and Analysis Frameworks for HLT (OIAF4HLT) at COLING 2014 | Stroudsburg; PA: Association for Computational Linguistics | 2014
34984 Endnote
Autor*innen:
Eckart de Castilho, Richard; Gurevych, Iryna
Titel:
A broad-coverage collection of portable NLP components for building shareable analysis pipelines
Aus:
Ide, Nancy; Grivolla, Jens (Hrsg.): Proceedings of the Workshop on Open Infrastructures and Analysis Frameworks for HLT (OIAF4HLT) at COLING 2014, Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 1-11
URL:
http://aclweb.org/anthology/W14-5201
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Computerlinguistik; Entwicklung; Software; Sprachanalyse; Tool
Abstract:
Due to the diversity of natural language processing (NLP) tools and resources, combining them into processing pipelines is an important issue, and sharing these pipelines with others remains a problem. We present DKPro Core, a broad-coverage component collection integrating a wide range of third-party NLP tools and making them interoperable. Contrary to other recent endeavors that rely heavily on web services, our collection consists only of portable components distributed via a repository, making it particularly interesting with respect to sharing pipelines with other researchers, embedding NLP pipelines in applications, and the use on high-performance computing clusters. Our collection is augmented by a novel concept for automatically selecting and acquiring resources required by the components at runtime from a repository. Based on these contributions, we demonstrate a way to describe a pipeline such that all required software and resources can be automatically obtained, making it easy to share it with others, e.g. in order to reproduce results or as examples in teaching, documentation, or publications. (DIPF/Org.)
DIPF-Abteilung:
Informationszentrum Bildung
DKPro keyphrases. Flexible and reusable keyphrase extraction experiments
Erbs, Nicolai; Bispo Santos, Pedro; Gurevych, Iryna; Zesch, Torsten
Sammelbandbeitrag
| Aus: Bontcheva, Kalina; Jingbo, Zhu (Hrsg.): Proceedings of COLING 2014: System demonstrations | Stroudsburg; PA: Association for Computational Linguistics | 2014
34722 Endnote
Autor*innen:
Erbs, Nicolai; Bispo Santos, Pedro; Gurevych, Iryna; Zesch, Torsten
Titel:
DKPro keyphrases. Flexible and reusable keyphrase extraction experiments
Aus:
Bontcheva, Kalina; Jingbo, Zhu (Hrsg.): Proceedings of COLING 2014: System demonstrations, Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 31-36
URL:
http://www.aclweb.org/anthology/P/P14/P14-5006.pdf
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Abstract; Automatisierung; Computerlinguistik; Inhaltserschließung; Text; Textanalyse; Tool
Abstract:
DKPro Keyphrases is a keyphrase extraction framework based on UIMA. It offers a wide range of state-of-the-art keyphrase experiments approaches. At the same time, it is a workbench for developing new extraction approaches and evaluating their impact. DKPro Keyphrases is publicly available under an open-source license. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
Sense and similarity. A study of sense-level similarity measures
Erbs, Nicolai; Gurevych, Iryna; Zesch, Torsten
Sammelbandbeitrag
| Aus: Bos, Johan; Frank, Anette; Navigli, Roberto (Hrsg.): Proceedings of the 3rd Joint Conference on Lexical and Computational Semantics (SEM 2014) | Stroudsburg; PA: Association for Computational Linguistics | 2014
34975 Endnote
Autor*innen:
Erbs, Nicolai; Gurevych, Iryna; Zesch, Torsten
Titel:
Sense and similarity. A study of sense-level similarity measures
Aus:
Bos, Johan; Frank, Anette; Navigli, Roberto (Hrsg.): Proceedings of the 3rd Joint Conference on Lexical and Computational Semantics (SEM 2014), Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 30-39
URL:
http://www.aclweb.org/anthology/S14-1004
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Ambiguität; Begriff; Computerlinguistik; Messung; Semantik; Sinn; Textanalyse; Wort
Abstract:
In this paper, we investigate the difference between word and sense similarity measures and present means to convert a state-of-the-art word similarity measure into a sense similarity measure. In order to evaluate the new measure, we create a special sense similarity dataset and re-rate an existing word similarity dataset using two different sense inventories from WordNet and Wikipedia. We discover that word-level measures were not able to differentiate between different senses of one word, while sense-level measures actually increase correlation when shifting to sense similarities. Sense-level similarity measures improve when evaluated with a re-rated sense-aware gold standard, while correlation with word-level similarity measures decreases. (DIPF/Org.)
DIPF-Abteilung:
Informationszentrum Bildung
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