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Hide Show below the text Hide agile,conference,paper,publication,scaled agile it organization Text Page /Sebis Research News/_ Large-Scale Scrum and incorporates strategic and tactical DDD. /Sebis Research News/_/Paper titled
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,business object,paper,publication Text Page /Sebis Research News/_ availability of business objects. Motivated by case studies from industry, the paper describes
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Text Page A paper has been accepted for publication at the International Conference on Software Evolution accepted Not template related Hide Show below the text Hide 2016,conference,icse,paper,publication Text Page /Sebis Research News/_ Engineering (ICSE). In the paper entitled Lessons Learned in Aligning Data and Model Evolution in applying a collaborative information system in research and industry projects. The goal of this paper software systems. /Sebis Research News/_/Paper on Lessons Learned in Aligning Data and Model
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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
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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
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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
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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
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Text Page A paper has been accepted for publication at the International Conference on Information ,paper,publication,system design Text Page /Sebis Research News/_ Systems (ICIS) 2014. In the paper entitled "IS design principles for empowering domain experts in the context of New Product Development (NPD). /Sebis Research News/_/Paper on End-User Development
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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
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right of the text Show below the text Hide paper,publication Publication Published in 2022 6th Publication Text classification of unseen classes is a challenging Natural Language Processing task in literature do not provide a consistent comparison. This paper addresses this gap by conducting a paper: Zero-shot vs. Similarity-based Text Classification /Sebis Public Website/_/Evaluating -shot Text Classification}, location = {Bangkok, Thailand}, series = {NLPIR 2022} } Publication URL