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1
Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
Shapiro, Igor; Färber, Michael; Saier, Tarek. - : Association for Computational Linguistics, 2022
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2
A Framework of Personality Cues for Conversational Agents
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3
Essays in Mutual Fund Research
Stolper, Oscar A. (Prof. Dr.); Scheld, Dominik. - : Philipps-Universität Marburg, Wirtschaftswissenschaften, 2021
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4
Leveraging literals for knowledge graph embeddings
In: ISSN: 1613-0073 (2021)
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5
Text Mining and Dimension Reduction Methods of Exploring Isomorphism in Corporate Communication
In: Archives of Data Science, Series A (Online First), 7 (1), P09, 21 S. online ; ISSN: 2363-9881 (2021)
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6
Reputation Through Observation: Active Lurkers in an Online Community
In: Archives of Data Science, Series A (Online First), 5 (1), A32, 17 S. online ; ISSN: 2363-9881 (2021)
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7
Charaterizing RDF graphs through graph-based measures - Framework and assessment
In: Semantic Web, 12 (5), 789-812 ; ISSN: 1570-0844, 2210-4968 (2021)
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8
Semantic entity enrichment by leveraging multilingual descriptions for link prediction
In: ISSN: 1613-0073 (2020)
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9
Leveraging multilingual descriptions for link prediction: Initial experiments
In: CEUR workshop proceedings, 2721, 84-88 ; ISSN: 1613-0073 (2020)
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10
Deadline analysis of workflow graphs and workflow performance optimization
Botezatu, Mirela. - : ETH Zurich, 2019
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11
Exploring Crosslingual Word Embeddings for Semantic Classification in Text and Dialogue
Vsesviatska, Oleksandra. - : Universität, 2019
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12
Exploiting Knowledge Bases for Multilingual and Cross-lingual Semantic Annotation and Search
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13
Wikipedia infobox type prediction using embeddings
In: ISSN: 1613-0073 (2018)
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14
Semantic Annotation and Search: Bridging the Gap between Text, Knowledge and Language
Zhang, Lei. - : KIT-Bibliothek, Karlsruhe, 2018
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15
Predicting wikipedia infobox type information using word embeddings on categories
In: ISSN: 1613-0073 (2018)
Abstract: Wikipedia has emerged as the largest multilingual, web based general reference work on the Internet. A huge amount of human resources have been invested in the creation and update of Wikipedia articles which are ideally complemented by so-called infobox templates defining the type of the underlying article. It has been observed that the Wikipedia infobox type information is often incomplete and inconsistent due to various reasons. However, the Wikipedia infobox type information plays a fundamental role for the RDF type information of Wikipedia based Knowledge Graphs such as DBpedia. This stimulates the need of always having the correct and complete infobox type information. In this work, we propose an approach to predict Wikipedia infobox types by using word embeddings on categories of Wikipedia articles, and analyze the impact of using minimal information from the Wikipedia articles in the prediction process.
Keyword: ddc:330; Economics; info:eu-repo/classification/ddc/330; Infobox; Text Classification; Wikipedia; Word Embeddings
URL: https://publikationen.bibliothek.kit.edu/1000089255/21447703
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-892556
https://doi.org/10.5445/IR/1000089255
https://publikationen.bibliothek.kit.edu/1000089255
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16
The Impact of Cryptocurrencies on the Internet of Things - Insights from Prototypes
Wörner, Dominic. - : ETH Zurich, 2017
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17
Managerial Cognition, Search and Strategy: Essays on Microfoundations
Tata, Amulya. - : ETH Zurich, 2017
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18
The Semantic Multilingual Glossary of Mathematics (SMGloM) project or why do we need a semantic glossary of mathematics
In: Archives of Data Science, Series A (Online First), 2 (1), 16 S. online ; ISSN: 2363-9881 (2017)
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19
Methods and Tools for Management of Distributed Event Processing Applications
Riemer, Dominik. - : KIT-Bibliothek, Karlsruhe, 2016
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20
The causal impact of common native language on international trade: Evidence from a spatial regression discontinuity design: evidence from a spatial regression discontinuity design ...
Egger, Peter; Lassmann, Andrea. - : ETH Zurich, 2015
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