Search results 11 - 19 of 19

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 Publication Abstract A significant part of the innovation activities of firms today is carried out Innovation: Findings from three Case Studies Type of publication Conference Year 2014 Acronym ICIS 2014

Six papers presented at AMCIS 2019

Text Page in Sebis Research News amcis paper conference publication

papers presented at AMCIS 2019 Not template related Hide Show below the text Hide amcis,conference,paper,publication Text Page /Sebis Research News/_ Study on Business Ecosystem Types (Best Conference Paper Runner-up) /Sebis Research News/_/Six

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

Publication in Sebis Public Website paper publication

Show below the text Hide paper,publication Publication Title TUM sebis at GermEval 2022: A Hybrid Publication The task of quantifying the complexity of written language presents an interesting . Association for Computational Linguistics. Year 2022 Publication URL https://aclanthology.org/2022 .germeval-1.9/ File 2022.germeval-1.9.pdf Key Vl22a Type of publication Conference Research project /Sebis Public Website/_

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

Publication in Sebis Public Website paper publication

below the text Hide paper,publication Publication Research project Technology Scouting as a Service Publication Since the introduction of Word2Vec in 2013, so-called word embeddings, dense vector or Wikipedia entries. In this paper, we present a domain-specific embedding model that is trained this paper, we present a domain-specific embedding model that is trained exclusively on texts from Model for Engineering Project Technology Scouting as a Service (TSaaS) Type of publication

PatternRank - Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction

Publication in Sebis Public Website paper publication

Not template related Show to the right of the text Show below the text Hide paper,publication Publication Keyphrase extraction is the process of automatically selecting a small set of most labeled training data and perform poorly outside the domain of the training data. In this paper, we /KeyphraseVectorizers Blog articles about this paper: Unsupervised Keyphrase Extraction with Publication Type of publication Conference File PatternRank.pdf Published in Proceedings of the 14th

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 ,publication Publication Key Sc23a Title Semantic Label Representations with Lbl2Vec - A Similarity-Based Matthes Publication URL https://doi.org/10.1007/978-3-031-24197-0_4 File Semantic Label Representations with Lbl2Vec.pdf Type of publication Conference Published in Lecture Notes in Business

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 related Show to the right of the text Show below the text Hide paper,publication Publication Title about this paper: Unsupervised Text Classification with Lbl2Vec /Sebis Public Website/_/Lbl2Vec - An /0010710300003058}, isbn={978-989-758-536-4}, } Type of publication Conference Authors Tim Schopf Dr. Daniel Publication URL https://www.scitepress.org/Link.aspx?doi=10.5220/0010710300003058 File Lbl2Vec.pdf

Towards Bilingual Word Embedding Models for Engineering

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the right of the text Show below the text Hide paper,publication Publication Project Technology Publication Word embeddings represent the semantic meanings of words in high-dimensional vector embeddings, the domain-specific texts must also be available in two different languages. In this paper 2022 Title Towards Bilingual Word Embedding Models for Engineering Publication URL https://dl.acm available in two different languages. In this paper, we use a large dataset of engineering-related

Research paper accepted at MeDMoT 2013

Text Page in Sebis Research News tools workshop modeling paper research enterprise architecture publication

Text Page A paper has been accepted for publication at the International Workshop on Methodical Not template related Hide Hide Hide enterprise architecture,modeling,paper,publication,research,tools,workshop Text Page /Sebis Research News/_ Development of Modeling Tools (MeDMoT). In the paper, the author Team Matheus Hauder, Björn Wüst the EA is often neglected. The paper investigates the integration of existing EA tools and EA products in organizations. /Sebis Research News/_/Research paper accepted at MeDMoT 2013