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and Cloud Computing Conference, Tokyo, Japan, 2018 (best paper award) [El18a] Elnaggar, A . Louis, MI, USA, paper 122, 2010. [Bu10y] Buckl, S.; Matthes, F.; Schweda, C.M.: Future Research , paper 84, 2010. [Wi10] Winter, K.; Buckl, S.; Matthes, F.; Schweda, C.M.: Investigating the state-of Mediterranean Conference on Information Systems (MCIS2010), Tel Aviv, paper 90, 2010. Books and Book Chapters 2010 /Sebis Public Website/Publications Not template related Hide Hide Hide books,overview,paper

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. backlinksmilia@gmail.com paper User Business Phone Department Company milia Web-Page https

The Language of Engineering - Training a Domain-Specific Word Embedding Model for Engineering

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or Wikipedia entries. In this paper, we present a domain-specific embedding model that is trained below the text Hide paper,publication Publication Research project Technology Scouting as a Service this paper, we present a domain-specific embedding model that is trained exclusively on texts from

Semantic Label Representations with Lbl2Vec - A Similarity-Based Approach for Unsupervised Text Classification

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Publication In this paper, we evaluate the Lbl2Vec approach for unsupervised text document Classification Not template related Show to the right of the text Show below the text Hide paper Publishing", address="Cham", pages="59--73", abstract="In this paper, we evaluate the Lbl2Vec

Article on the application of web analytics tools in the context of...

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Text Page In the paper titled "Applying Web Analytics Tools in the Context of Enterprise Social fulltext search capabilites of such platforms can be improved using web analytics data. The paper will be Hide Hide 2011,eckm,paper Text Page /Sebis Research News/_

Re14c - IS Design Principles for Empowering Domain Experts in Innovation - Findings from three Case Studies

Publication in Sebis Public Website     principle paper icis end-user development conference case study publication

,end-user development,icis,paper,principle,publication Publication Authors Sven Rehm Dr. Thomas

TUM sebis at GermEval 2022 A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis

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Show below the text Hide paper,publication Publication Title TUM sebis at GermEval 2022: A Hybrid

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