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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... In: http://hw.oeaw.ac.at/8435-5 (2018) BASE Show 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 Abstract: This paper presents the "Leipzig Corpus Miner", a technical infrastructure for supporting qualitative and quantitative content analysis. The infrastructure aims at the integration of 'close reading' procedures on individual documents with procedures of 'distant reading', e.g. lexical characteristics of large document collections. Therefore information retrieval systems, lexicometric statistics and machine learning procedures are combined in a coherent framework which enables qualitative data analysts to make use of state-of-the-art Natural Language Processing techniques on very large document collections. Applicability of the framework ranges from social sciences to media studies and market research. As an example we introduce the usage of the framework in a political science study on post-democracy and neoliberalism. ... : https://hal.archives-ouvertes.fr/hal-01005878; Proceedings of Terminology and Knowledge Engineering 2014 (TKE'14), Berlin ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1707.03253 https://arxiv.org/abs/1707.03253 BASE Hide 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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