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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/_
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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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Text Page A paper has been accepted for publication at the International Workshop on Adaptive Case template related Hide Show below the text Hide acm,challenges,paper,publication Text Page /Sebis Research News/_ Management and other non-workflow approaches to BPM (AdaptiveCM) a the EDOC Conference. In the paper for challenges in ACM. /Sebis Research News/_/Paper on research challenges in ACM accepted Not
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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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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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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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Show to the right of the text Show below the text Hide paper,publication Publication Research project Publication A major challenge for stationary retail is the increasing digitization of business stores. To bridge the gap between physical stores and online stores, in this paper, an AI platform that Ecosystem for a Knowledge-Based Platform supporting In-Store Logistics Publication URL https://doi Towards AI Platforms for Stationary Retail Address Laguna Hills, USA Type of publication Conference
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Text Page A paper has been accepted for publication at the Trends in Enterprise Architecture Show below the text Hide ea analysis,paper,publication,txl,type safety Text Page /Sebis Research News/_ Research Workshop (TEAR) a the EDOC Conference. In the paper entitled "Type-Safety in EA Model Analysis system for a domain-specific language for the definition of EA metrics. Furthermore, the paper highlights research environment. /Sebis Research News/_/Paper on EA Analysis accepted Not template related Hide
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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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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