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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9 10...18 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 BASE Show details 102 SenZi: A sentiment analysis lexicon for the latinised Arabic (Arabizi) Tobaili, Taha; Fernández, Miriam; Alani, Harith. - : INCOMA, 2019 BASE Show details 103 Do we really need fully unsupervised cross-lingual embeddings? Vulić, Ivan; Glavaš, Goran; Reichart, Roi. - : Association for Computational Linguistics, 2019 BASE Show details 104 Are we consistently biased? Multidimensional analysis of biases in distributional word vectors Lauscher, Anne; Glavaš, Goran. - : Association for Computational Linguistics, 2019 BASE Show details 105 Knowledge-intensive, high-performance relation extraction ... : Wissensintensive, hochperformante Relationsextraktion ... Krause, Sebastian. - : Technische Universität Berlin, 2018 BASE Show details 106 Automatic glossary term extraction from large-scale requirements specifications ... Gemkow, Tim; Conzelmann, Miro; Hartig, Kerstin. - : Technische Universität Berlin, 2018 BASE Show details 107 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing ... Schmidt, Thomas; Burghardt, Manuel. - : Universität Regensburg, 2018 BASE Show details 108 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing ... Schmidt, Thomas; Burghardt, Manuel. - : Universität Regensburg, 2018 BASE Show details 109 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing Schmidt, Thomas; Burghardt, Manuel. - 2018 BASE Show details 110 An Evaluation of Lexicon-based Sentiment Analysis Techniques for the Plays of Gotthold Ephraim Lessing Schmidt, Thomas; Burghardt, Manuel. - 2018 BASE Show details 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 BASE Show details 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 BASE Show details 113 Herausforderungen für Sentiment Analysis-Verfahren bei literarischen Texten Schmidt, Thomas; Burghardt, Manuel; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2018 BASE Show details 114 Toward a Tool for Sentiment Analysis for German Historic Plays Schmidt, Thomas; Burghardt, Manuel. - : Laboratoire laussannois d'informatique et statistique textuelle, 2018 BASE Show details 115 Karel relearns C. Teaching good software engineering practices in CS1 with Karel the Robot Heckner, Markus; Bazo, Alexander; Wolff, Christian; Scherzinger, Stefanie. - : IEEE, 2018 Abstract: This paper describes our implementation, teaching philosophy, and experiences with our C-based version of the widely known Karel the Robot introductory programming micro-language. Karel enables students to programmatically solve problems, using the C language, in a graphical two-dimensional world by moving the robot around while checking and manipulating its surroundings. We use Karel to solve the dilemma of either demanding too much or not enough from students during the first weeks of an introductory CS course, as interesting problems can be solved with limited input from lectures. Karel enables problem solving from day one of CS1, and encourages good software engineering practices such as top-down design from the beginning. We outline typical problems in the first weeks of CS1. We present a short overview of existing Karel implementations in various programming languages and our rationale for re-implementing Karel. We present our teaching philosophy and use of Karel in the classroom. We demonstrate how Karel is being used from a student perspective, along with a typical programming task. We discuss preliminary results of a survey and interviews with students from a first course in which Karel was used. Keyword: 004 Informatik; ddc:004 URL: https://epub.uni-regensburg.de/38041/ BASE Hide details 116 Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2018 BASE Show details 117 Sentiment Annotation of Historic German Plays: An Empirical Study on Annotation Behavior Schmidt, Thomas; Burghardt, Manuel; Dennerlein, Katrin. - 2018 BASE Show details 118 Deep instantiation Atkinson, Colin; Kühne, Thomas. - : Springer, 2018 BASE Show details 119 ArguminSci: a tool for analyzing argumentation and rhetorical aspects in scientific writing Glavaš, Goran; Lauscher, Anne; Eckert, Kai. - : Association for Computational Linguistics, 2018 BASE Show details 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 BASE Show details Page: 1 2 3 4 5 6 7 8 9 10...18

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