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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
UKPDIPF. A lexical semantic approach to sentiment polarity prediction in Twitter data
Flekova, Lucie; Ferschke, Oliver; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Nakov, Preslav; Zesch, Torsten (Hrsg.): Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) | Stroudsburg; PA: Association for Computational Linguistics | 2014
34724 Endnote
Autor*innen:
Flekova, Lucie; Ferschke, Oliver; Gurevych, Iryna
Titel:
UKPDIPF. A lexical semantic approach to sentiment polarity prediction in Twitter data
Aus:
Nakov, Preslav; Zesch, Torsten (Hrsg.): Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 704-710
URL:
http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval2014126.pdf
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Ausdruck <Psy>; Computerlinguistik; Emotion; Klassifikation; Schriftsprache; Semantik; Soziale Software; Textanalyse
Abstract:
We present a sentiment classification system that participated in the SemEval 2014 shared task on sentiment analysis in Twitter. Our system expands tokens in a tweet with semantically similar expressions using a large novel distributional thesaurus and calculates the semantic relatedness of the expanded tweets to word lists repre- senting positive and negative sentiment. This approach helps to assess the polarity of tweets that do not directly contain polarity cues. Moreover, we incorporate syntactic, lexical and surface sentiment features. On the message level, our system achieved the 8th place in terms of macroaveraged F-score among 50 systems, with particularly good performance on the Life-Journal corpus (F1=71.92) and the Twitter sarcasm (F1=54.59) dataset. On the expression level, our system ranked 14 out of 27 systems, based on macro-averaged F-score. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
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
High performance word sense alignment by joint modeling of sense distance and gloss similarity
Matuschek, Michael; Gurevych, Iryna
Sammelbandbeitrag
| Aus: Tsujii, Junichi; Hajic, Jan (Hrsg.): Proceedings of COLING 2014: Technical papers | Stroudsburg; PA: Association for Computational Linguistics | 2014
34974 Endnote
Autor*innen:
Matuschek, Michael; Gurevych, Iryna
Titel:
High performance word sense alignment by joint modeling of sense distance and gloss similarity
Aus:
Tsujii, Junichi; Hajic, Jan (Hrsg.): Proceedings of COLING 2014: Technical papers, Stroudsburg; PA: Association for Computational Linguistics, 2014 , S. 245-256
URL:
http://www.aclweb.org/anthology/C/C14/C14-1025.pdf
Dokumenttyp:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Sprache:
Englisch
Schlagwörter:
Algorithmus; Automatisierung; Computerlinguistik; Nachschlagewerk; Online; Semantik; Sinn; Wort
Abstract:
In this paper, we present a machine learning approach for word sense alignment (WSA) which combines distances between senses in the graph representations of lexical-semantic resources with gloss similarities. In this way, we significantly outperform the state of the art on each of the four datasets we consider. Moreover, we present two novel datasets for WSA between Wiktionary and Wikipedia in English and German. The latter dataset in not only of unprecedented size, but also created by the large community of Wiktionary editors instead of expert annotators, making it an interesting subject of study in its own right as the first crowdsourced WSA dataset. We will make both datasets freely available along with our computed alignments. (DIPF/Orig.)
DIPF-Abteilung:
Informationszentrum Bildung
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