Titlebook: Machine Learning and Knowledge Extraction; Second IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2018

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Building a Knowledge Based Summarization System for Text Data Miningata on documents and webpages to create abstractive summaries by generalizing new concepts, deriving main topics, and creating new sentences. The knowledge based system makes use of the domain knowledge provided by Cyc development platform that consists of the world’s largest knowledge base and one

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Feedback Matters! Predicting the Appreciation of Online Articles ,- settings that generate constant and close to real-time feedback. Journalists and authors of articles in the area of Data Journalism have only recently acknowledged the influence that the audience reactions and opinions can bring to effective writing, so to be widely appreciated. Such feedback may b

Affable

Creative Intelligence – Automating Car Design Studio with Generative Adversarial Networks (GAN)udio sketch. A key component of our architecture is a novel convolutional filter layer, that produces sketches similar to those drawn by designers during rapid prototyping. The sketches produced are more aesthetic than the ones from standard edge detection filters or gradient operations. In addition

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LawStats – Large-Scale German Court Decision Evaluation Using Web Service Classifiersany. Using Watson Web Services and approaches from Sentiment Analysis (SA), we can automatically classify the revision outcome and offer statistics on judges, senates, previous instances etc. via faceted search. These statistics are accessible through a open web interface to aid law professionals. W

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Clinical Text Mining for Context Sequences Identificationn clinical text. Clinical narratives contain rich medical terminology, specific abbreviations, and various numerical values. Usually raw clinical texts contain?too many typos. Due to the telegraphic style of the text and incomplete sentences, the general part of speech taggers and syntax parsers are