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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 Hits 1 – 15 of 15 1 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - 2022 BASE Show details 2 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya... In: Lang Resour Eval (2022) BASE Show details 3 Multilingual comparable corpora of parliamentary debates ParlaMint 2.1 Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - : CLARIN ERIC, 2021 BASE Show details 4 Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint.ana 2.1 Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - : CLARIN ERIC, 2021 BASE Show details 5 Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint.ana 2.0 Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - : CLARIN ERIC, 2021 BASE Show details 6 Multilingual comparable corpora of parliamentary debates ParlaMint 2.0 Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - : CLARIN ERIC, 2021 BASE Show details 7 CLARIN contractual framework for sharing language data: the perspective of personal data protection Kelli, Aleksei [Verfasser]; Lindén, Krister [Verfasser]; Vider, Kadri [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 8 When Size Matters. Legal Perspective(s) on N-grams Kamocki, Paweł [Verfasser]; Navarretta, Costanza [Herausgeber]; Eskevich, Maria [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 9 Signposts for CLARIN Arnold, Denis [Verfasser]; Fisseni, Bernhard [Verfasser]; Trippel, Thorsten [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 10 The CMDI Explorer Arnold, Denis [Verfasser]; Campbell, Ben [Verfasser]; Eckart, Thomas [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 11 Towards Comprehensive Definitions of Data Quality for Audiovisual Annotated Language Resources Hedeland, Hanna [Verfasser]; Navarretta, Costanza [Herausgeber]; Eskevich, Maria [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 12 Evaluating and Assuring Research Data Quality for Audiovisual Annotated Language Data Arkhangelskiy, Timofey [Verfasser]; Hedeland, Hanna [Verfasser]; Riaposov, Aleksandr [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020 DNB Subject Category Language Show details 13 Toward Multimodal Sentiment Analysis of Historic Plays: A Case Study with Text and Audio for Lessing’s Emilia Galotti Schmidt, Thomas; Burghardt, Manuel; Wolff, Christian. - 2019 Abstract: We present a case study as part of a work-in-progress project about multimodal sentiment analysis on historic German plays, taking Emilia Galotti by G. E. Lessing as our initial use case. We analyze the textual version and an audio version (audiobook). We focus on ready-to-use sentiment analysis methods: For the textual component, we implement a naive lexicon-based approach and another approach that enhances the lexicon by means of several NLP methods. For the audio analysis, we use the free version of the Vokaturi tool. We compare the results of all approaches and evaluate them against the annotations of a human expert, which serves as a gold standard. For our use case, we can show that audio and text sentiment analysis behave very differently: textual sentiment analysis tends to predict sentiment as rather negative and audio sentiment as rather positive. Compared to the gold standard, the textual sentiment analysis achieves accuracies of 56% while the accuracy for audio sentiment analysis is only 32%. We discuss possible reasons for these mediocre results and give an outlook on further steps we want to pursue in the context of multimodal sentiment analysis on historic plays. Keyword: 004 Informatik; 020 Bibliotheks- und Informationswissenschaft; 430 Deutsch; 800 Literatur; 830 Deutsche Literatur; ddc:004; ddc:020; ddc:430; ddc:800; ddc:830; Literaturwissenschaft; Rhetorik URL: https://epub.uni-regensburg.de/43608/1/Schmidt%20et%20al.%20%282019%29%20-%20Towards%20Multimodal%20Sentiment%20Analysis.pdf https://epub.uni-regensburg.de/43608/ http://ceur-ws.org/Vol-2364/37_paper.pdf BASE Hide details 14 The MUMIN coding scheme for the annotation of feedback, turn management and sequencing phenomena [<Journal>] Allwood, Jens [Verfasser]; Cerrato, Loredana [Verfasser]; Jokinen, Kristiina [Verfasser]. DNB Subject Category Language Show details 15 The MUMIN coding scheme for the annotation of feedback, turn management and sequencing phenomena Allwood, Jens; Cerrato, Loredana; Jokinen, Kristiina... In: Language resources and evaluation. - Dordrecht [u.a.] : Springer 41 (2007) 3-4, 273-287 BLLDB Show details

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