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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 – 11 of 11 1 On Classifying whether Two Texts are on the Same Side of an Argument ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hakimi, Ahmad Dawar; Heyer, Gerhard. - : Underline Science Inc., 2021 BASE Show details 2 Multi-modal page stream segmentation with convolutional neural networks [<Journal>] Wiedemann, Gregor [Verfasser]; Heyer, Gerhard [Verfasser] DNB Subject Category Language Show details 3 Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter Biemann, Chris; Ruppert, Eugen; Wiedemann, Gregor; Jindal, Raghav In: http://hw.oeaw.ac.at/8435-5 (2018) Abstract: We investigate different strategies for automatic offensive language classification on German Twitter data. For this, we employ a sequentially combined BiLSTMCNN neural network. Based on this model, three transfer learning tasks to improve the classification performance with background knowledge are tested. We compare 1. Supervised category transfer: social media data annotated with near-offensive language categories, 2. Weakly-supervised category transfer: tweets annotated with emojis they contain, 3. Unsupervised category transfer: tweets annotated with topic clusters obtained by Latent Dirichlet Allocation (LDA). Further, we investigate the effect of three different strategies to mitigate negative effects of ‘catastrophic forgetting’ during transfer learning. Our results indicate that transfer learning in general improves offensive language detection. Best results are achieved from pre-training our model on the unsupervised topic clustering of tweets in combination with thematic user cluster information. Keyword: Linguistics and Literature URL: http://epub.oeaw.ac.at/?arp=buecher/Organisationseinheiten/academiae-corpora/Proceedings%20of%20the%20GermEval%202018Workshop/015_GermEval2018_Proceedings.pdf BASE Hide details 4 A Multilingual Information Extraction Pipeline for Investigative Journalism ... Wiedemann, Gregor; Yimam, Seid Muhie; Biemann, Chris. - : arXiv, 2018 BASE Show details 5 New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism ... Wiedemann, Gregor; Yimam, Seid Muhie; Biemann, Chris. - : arXiv, 2018 BASE Show details 6 Quantifying insightful problem solving: A modified compound remote associates paradigm using lexical priming to parametrically modulate different sources of task difficulty ... Becker, Maxi; Wiedemann, Gregor; Kuehn, Simone. - : PsyArXiv, 2018 BASE Show details 7 Modeling the dynamics of domain specific terminology in diachronic corpora ... Heyer, Gerhard; Kantner, Cathleen; Niekler, Andreas. - : arXiv, 2017 BASE Show details 8 Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis ... Niekler, Andreas; Wiedemann, Gregor; Heyer, Gerhard. - : arXiv, 2017 BASE Show details 9 Opening up to big data: computer-assisted analysis of textual data in social sciences Wiedemann, Gregor In: Historical Social Research ; 38 ; 4 ; 332-358 (2015) BASE Show details 10 Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis Niekler, Andreas; Wiedemann, Gregor; Heyer, Gerhard In: Terminology and Knowledge Engineering, TKE 2014 ; Terminology and Knowledge Engineering 2014 ; https://hal.archives-ouvertes.fr/hal-01005878 ; Terminology and Knowledge Engineering 2014, Jun 2014, Berlin, Germany. 10 p (2014) BASE Show details 11 Opening up to big data: computer-assisted analysis of textual data in social sciences Wiedemann, Gregor In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 14 ; 2 ; 24 (2013) BASE Show details

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