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Lbl2Vec - An Embedding-based Approach for Unsupervised Document Retrieval on Predefined Topics

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Publication In this paper, we consider the task of retrieving documents with predefined topics from about this paper: Unsupervised Text Classification with Lbl2Vec /Sebis Public Website/_/Lbl2Vec - An related Show to the right of the text Show below the text Hide paper,publication Publication Title

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

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

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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

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

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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