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(Schlagwörter: "Lexikographie")

Analyzing domain suitability of a sentiment lexicon by identifying distributionally bipolar words Flekova, Lucie; Ruppert, Eugen; Preotiuc-Pietro, Daniel Sammelbandbeitrag | Aus: Association for Computational Linguistics (Hrsg.): 6th workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2015): Workshop proceedings, 17 September 2015, Lisboa, Portugal | Red Hook; NY: Association for Computational Linguistics | 2015 37028 Endnote: Autor*innen: Flekova, Lucie; Ruppert, Eugen; Preotiuc-Pietro, Daniel
Titel: Analyzing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
Aus: Association for Computational Linguistics (Hrsg.): 6th workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2015): Workshop proceedings, 17 September 2015, Lisboa, Portugal, Red Hook; NY: Association for Computational Linguistics, 2015 , S. 77-84
URL: http://www.emnlp2015.org/proceedings/WASSA/WASSA-2015.pdf#page=89
Dokumenttyp: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache: Englisch
Schlagwörter: Automatisierung; Computerlinguistik; Emotion; Kommunikation; Lexikographie; Lexikon; Online; Qualität; Soziale Software; Textanalyse; Thesaurus
Abstract: Contemporary sentiment analysis approaches rely on lexicon based methods. This is mainly due to their simplicity, although the best empirical results can be achieved by more complex techniques. We introduce a method to assess suitability of generic sentiment lexicons for a given domain, namely to identify frequent bigrams where a polar word switches polarity. Our bigrams are scored using Lexicographers Mutual Information and leveraging large automatically obtained corpora. Our score matches human perception of polarity and demonstrates improvements in classification results using our enhanced context-aware method. Our method enhances the assessment of lexicon based sentiment detection and can be further userd to quantify ambiguous words. (DIPF/Orig.)

Methoden bei kollaborativen Wörterbüchern Meyer, Christian M.; Gurevych, Iryna Zeitschriftenbeitrag | In: Lexicographica - Internationales Jahrbuch für Lexikographie | 2014 34987 Endnote: Autor*innen: Meyer, Christian M.; Gurevych, Iryna
Titel: Methoden bei kollaborativen Wörterbüchern
In: Lexicographica - Internationales Jahrbuch für Lexikographie, 30 (2014) 1, S. 187-212
URL: http://www.degruyter.com/view/j/lexi.2014.30.issue-1/lexi-2014-0007/lexi-2014-0007.xml
Dokumenttyp: 3b. Beiträge in weiteren Zeitschriften; wissenschaftsorientiert
Sprache: Deutsch
Schlagwörter: Benutzer; Forschungsstand; Konzeption; Kooperation; Lexikographie; Methode; Online; Partizipation; Planung; Qualitätssicherung; Quelle; Soziale Software; Wörterbuch
Abstract: In this article, we study lexicographical methods of collaborative dictionaries. We are particularly interested in the question to what extent they differ from the methods of expert lexicographers and how editorial dictionaries can leverage the user-generated data. We find that the preparation phase is equally important in expertbuilt and collaborative works and will fundamentally shape the final dictionary. For collaborative dictionaries, it is, however, essential to encourage discussion, define transparent decision workflows, and continually motivate the authors. The large user communities provide a high coverage of language varieties, translations, neologisms, as well as personal and spoken language, which often lack corpus evidence. Instead, their descriptions of general language terms are largely based on expert-built dictionaries. This is why we see great potential in the cooperation between expert lexicographers and collaborative user communities. Besides joint work on editing the dictionary articles, we consider quality assurance methods based on user feedback as a clear enrichment for dictionary making. (DIPF/Orig.)
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UBY-LMF. Exploring the boundaries of language-independent lexicon models Eckle-Kohler, Judith; Gurevych, Iryna; Hartmann, Silvana; Matuschek, Michael; Meyer, Christian M. Sammelbandbeitrag | Aus: Francopoulo, Gil (Hrsg.): LMF Lexical Markup Framework | Hoboken; NJ: Wiley | 2013 33414 Endnote: Autor*innen: Eckle-Kohler, Judith; Gurevych, Iryna; Hartmann, Silvana; Matuschek, Michael; Meyer, Christian M.
Titel: UBY-LMF. Exploring the boundaries of language-independent lexicon models
Aus: Francopoulo, Gil (Hrsg.): LMF Lexical Markup Framework, Hoboken; NJ: Wiley, 2013 (Computer engineering and IT series), S. 145-156
Dokumenttyp: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Sprache: Englisch
Schlagwörter: Computerlinguistik; Datenverarbeitung; Lexikographie; Lexikon; Mehrsprachigkeit; Modell; Semantik; Syntax
Abstract: Following a long series of successful scientific projects and collaborations, the community responsible for developing lexicons for Natural Language Processing (NLP) and Machine Readable Dictionaries (MRDs decided to jump start their International Organization for Standardization (ISO) standardization activities in 2003. A group of 60 researchers (cited herein as the "LMF team") spent 5 years gathering requirements and developing the ideas which resulted in the LMF standard. The LMF specification is a success. Numerous lexicon managers currently use LMF in different languages and contexts. This book is dedicated to reporting on a number of these applications. It is structured as follows: Chapter 1 presents the historical context of LMF. Chapter 2 provides an overview of the LMF model. Chapter 3 deals with the Data Category Registry, which provides a flexible means for applying constants like /grammatical gender/ in a variety of different settings. The remaining chapters present concrete applications and experiments on real data, which are important for developers who want to learn about the use of LMF. Despite this success, we do not claim that LMF is perfect. Indeed, several chapters describe a number of limitations and/or proposals for its improvement.
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Wiktionary - a new rival for expert-built lexicons? Exploring the possibilities of collaborative […] Meyer, M. Christian; Gurevych, Iryna Sammelbandbeitrag | Aus: Granger, Sylviane; Paquot, Magali (Hrsg.): Electronic lexicography | Oxford: Oxford University Press | 2012 33098 Endnote: Autor*innen: Meyer, M. Christian; Gurevych, Iryna
Titel: Wiktionary - a new rival for expert-built lexicons? Exploring the possibilities of collaborative lexicography
Aus: Granger, Sylviane; Paquot, Magali (Hrsg.): Electronic lexicography, Oxford: Oxford University Press, 2012 , S. 259-291
URL: http://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2011/oup-elex2012-meyer-wiktionary.pdf
Dokumenttyp: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Sprache: Englisch
Schlagwörter: Analyse; Computerlinguistik; Gemeinschaft; Lexikographie; Lexikon; Mehrsprachigkeit; Online; Soziale Software; Vergleich; World wide web 2.0
Abstract (english): With the rise of the Web 2.0, collaboratively constructed language resources are rivalling expert-built lexicons. The collaborative construction process of these resources is driven by what is called the "Wisdom of Crowds" phenomenon, which offers very promising research opportunities in the context of electronic lexicography. The vast number and broad diversity of authors yield, for instance, quickly growing and constantly updated resources. While expert-built lexicons have been extensively studied in the past, there is yet a gap in researching collaboratively constructed lexicons. We therefore provide a comprehensive description of Wiktionary - a freely available, collaborative online lexicon. We study the variety of encoded lexical, semantic, and cross-lingual knowledge of three different language editions of Wiktionary and compare the coverage of terms, lexemes, word senses, domains, and registers to multiple expert-built lexicons. We conclude our work by discussing several findings and pointing out Wiktionary's future directions and impact on lexicography.
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