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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 Can we predict new facts with open knowledge graph embeddings? A benchmark for open link prediction Gashteovski, Kiril; Gemulla, Rainer; Wang, Yanjie. - : Association for Computational Linguistics, 2020 BASE Show details 2 LibKGE – A knowledge graph embedding library for reproducible research Broscheit, Samuel; Ruffinelli, Daniel; Kochsiek, Adrian. - : Association for Computational Linguistics (ACL), 2020 BASE Show details 3 On aligning OpenIE extractions with Knowledge Bases: A case study Gashteovski, Kiril; Gemulla, Rainer; Kotnis, Bhushan; Hertling, Sven; Meilicke, Christian. - : Association for Computational Linguistics (ACL), 2020 Abstract: Open information extraction (OIE) is the task of extracting relations and their corresponding arguments from a natural language text in un- supervised manner. Outputs of such systems are used for downstream tasks such as ques- tion answering and automatic knowledge base (KB) construction. Many of these downstream tasks rely on aligning OIE triples with refer- ence KBs. Such alignments are usually eval- uated w.r.t. a specific downstream task and, to date, no direct manual evaluation of such alignments has been performed. In this paper, we directly evaluate how OIE triples from the OPIEC corpus are related to the DBpedia KB w.r.t. information content. First, we investigate OPIEC triples and DBpedia facts having the same arguments by comparing the information on the OIE surface relation with the KB rela- tion. Second, we evaluate the expressibility of general OPIEC triples in DBpedia. We in- vestigate whether—and, if so, how—a given OIE triple can be mapped to a single KB fact. We found that such mappings are not always possible because the information in the OIE triples tends to be more specific. Our evalua- tion suggests, however, that significant part of OIE triples can be expressed by means of KB formulas instead of individual facts. Keyword: 004 Informatik URL: https://madoc.bib.uni-mannheim.de/61524/1/On%20Aligning%20OpenIE%20Extractions%20with%20Knowledge%20Bases%20A%20Case%20Study.pdf https://madoc.bib.uni-mannheim.de/61524 https://doi.org/10.18653/v1/2020.eval4nlp-1.14 https://madoc.bib.uni-mannheim.de/61524/ BASE Hide details 4 OPIEC: An open information extraction corpus Gashteovski, Kiril [Verfasser]; Wanner, Sebastian [Verfasser]; Hertling, Sven [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2019 DNB Subject Category Language Show details 5 OPIEC: An open information extraction corpus Gashteovski, Kiril; Wanner, Sebastian; Hertling, Sven. - : OpenReview.net, 2019 BASE Show details 6 On evaluating embedding models for knowledge base completion Gemulla, Rainer; Wang, Yanjie; Broscheit, Samuel. - : Association for Computational Linguistics, 2019 BASE Show details 7 A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval Broscheit, Samuel; Pfeiffer, Jonas; Gemulla, Rainer. - : Association for Computational Linguistics, 2018 BASE Show details 8 Learning distributional token representations from visual features Gemulla, Rainer; Broscheit, Samuel; Keuper, Margret. - : Association for Computational Linguistics, 2018 BASE Show details 9 MinIE: minimizing facts in open information extraction Corro, Luciano del; Gashteovski, Kiril; Gemulla, Rainer. - : Association for Computational Linguistics, 2017 BASE Show details 10 Methods for open information extraction and sense disambiguation on natural language text ; Methoden der Offenen Informationsextraktion und Bedeutungsdisambiguierung in Texten Del Corro, Luciano. - 2015 BASE Show details 11 FINET: context-aware fine-grained named entity typing Abujabal, Abdalghani; Corro, Luciano del; Gemulla, Rainer. - : Assoc. for Computational Linguistics, 2015 BASE Show details 12 CORE: Context-aware open relation extraction with factorization machines Corro, Luciano del; Petroni, Fabio; Gemulla, Rainer. - : Assoc. for Computational Linguistics, 2015 BASE Show details 13 Werdy: Recognition and disambiguation of verbs and verb phrases with syntactic and semantic pruning Corro, Luciano del [Verfasser]; Gemulla, Rainer [Verfasser]; Weikum, Gerhard [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2014 DNB Subject Category Language Show details 14 Senti-LSSVM: Sentiment-oriented multi-relation extraction with latent structural SVM Weikum, Gerhard; Gemulla, Rainer; Zhang, Yi. - : Assoc. for Computational Linguistics, 2014 BASE Show details 15 Werdy: Recognition and disambiguation of verbs and verb phrases with syntactic and semantic pruning Corro, Luciano del; Gemulla, Rainer; Weikum, Gerhard. - : Assoc. for Computational Linguistics, 2014 BASE Show details

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