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Hits 101 – 120 of 360

101
Generalized tuning of distributional word vectors for monolingual and cross-lingual lexical entailment
Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2019
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102
SenZi: A sentiment analysis lexicon for the latinised Arabic (Arabizi)
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103
Do we really need fully unsupervised cross-lingual embeddings?
Vulić, Ivan; Glavaš, Goran; Reichart, Roi. - : Association for Computational Linguistics, 2019
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104
Are we consistently biased? Multidimensional analysis of biases in distributional word vectors
Lauscher, Anne; Glavaš, Goran. - : Association for Computational Linguistics, 2019
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105
Knowledge-intensive, high-performance relation extraction ... : Wissensintensive, hochperformante Relationsextraktion ...
Krause, Sebastian. - : Technische Universität Berlin, 2018
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106
Automatic glossary term extraction from large-scale requirements specifications ...
Gemkow, Tim; Conzelmann, Miro; Hartig, Kerstin. - : Technische Universität Berlin, 2018
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107
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing ...
Schmidt, Thomas; Burghardt, Manuel. - : Universität Regensburg, 2018
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108
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing ...
Schmidt, Thomas; Burghardt, Manuel. - : Universität Regensburg, 2018
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109
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing
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110
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing
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111
An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing
Schmidt, Thomas; Burghardt, Manuel. - : Association for Computational Linguistics, 2018
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112
„Kann man denn auch nicht lachend sehr ernsthaft sein?" – Zum Einsatz von Sentiment Analyse-Verfahren für die quantitative Untersuchung von Lessings Dramen
Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - : Universitäts- und Stadtbibliothek Köln, 2018
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113
Herausforderungen für Sentiment Analysis-Verfahren bei literarischen Texten
Schmidt, Thomas; Burghardt, Manuel; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2018
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114
Toward a Tool for Sentiment Analysis for German Historic Plays
Schmidt, Thomas; Burghardt, Manuel. - : Laboratoire laussannois d'informatique et statistique textuelle, 2018
Abstract: We present a project in which we investigate the chances of sentiment analysis in the context of German historic plays, more concretely eleven plays by G.E. Lessing. We evaluated several lexicon-based sentiment analysis techniques against a gold standard of 200 speeches that were manually annotated with sentiment information in an annotation study. The combination of methods with the best performance was used to create a web-based tool. The tool allows users to explore sentiment progressions and distributions on structural levels (acts, scenes, speeches) as well as for speakers and speaker relations.
Keyword: 004 Informatik; 400 Sprachwissenschaft; 430 Deutsch; 830 Deutsche Literatur; ddc:004; ddc:400; ddc:430; ddc:830; Linguistik
URL: https://zenodo.org/record/1312779
https://epub.uni-regensburg.de/37575/1/ComHum2018-Epub-Version.pdf
https://epub.uni-regensburg.de/37575/
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115
Karel relearns C. Teaching good software engineering practices in CS1 with Karel the Robot
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116
Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior
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117
Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior
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118
Deep instantiation
Atkinson, Colin; Kühne, Thomas. - : Springer, 2018
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119
ArguminSci: a tool for analyzing argumentation and rhetorical aspects in scientific writing
Glavaš, Goran; Lauscher, Anne; Eckert, Kai. - : Association for Computational Linguistics, 2018
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120
A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval
Broscheit, Samuel; Pfeiffer, Jonas; Gemulla, Rainer. - : Association for Computational Linguistics, 2018
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