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1
On Classifying whether Two Texts are on the Same Side of an Argument ...
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2
Multi-modal page stream segmentation with convolutional neural networks [<Journal>]
Wiedemann, Gregor [Verfasser]; Heyer, Gerhard [Verfasser]
DNB Subject Category Language
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3
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter
In: http://hw.oeaw.ac.at/8435-5 (2018)
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4
A Multilingual Information Extraction Pipeline for Investigative Journalism ...
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5
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism ...
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6
Quantifying insightful problem solving: A modified compound remote associates paradigm using lexical priming to parametrically modulate different sources of task difficulty ...
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7
Modeling the dynamics of domain specific terminology in diachronic corpora ...
Abstract: In terminology work, natural language processing, and digital humanities, several studies address the analysis of variations in context and meaning of terms in order to detect semantic change and the evolution of terms. We distinguish three different approaches to describe contextual variations: methods based on the analysis of patterns and linguistic clues, methods exploring the latent semantic space of single words, and methods for the analysis of topic membership. The paper presents the notion of context volatility as a new measure for detecting semantic change and applies it to key term extraction in a political science case study. The measure quantifies the dynamics of a term's contextual variation within a diachronic corpus to identify periods of time that are characterised by intense controversial debates or substantial semantic transformations. ... : http://openarchive.cbs.dk/handle/10398/9323; Proceedings of the 12th International conference on Terminology and Knowledge Engineering (TKE 2016) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1707.03255
https://arxiv.org/abs/1707.03255
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8
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis ...
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9
Opening up to big data: computer-assisted analysis of textual data in social sciences
In: Historical Social Research ; 38 ; 4 ; 332-358 (2015)
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10
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis
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)
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11
Opening up to big data: computer-assisted analysis of textual data in social sciences
In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 14 ; 2 ; 24 (2013)
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