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1
Sprucing up the trees – error detection in treebanks
Rehbein, Ines [Verfasser]; Ruppenhofer, Josef [Verfasser]; Bender, Emily M. [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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2
Distinguishing affixoid formations from compounds
Wiegand, Michael [Verfasser]; Markert, Katja [Verfasser]; Wilm, Rebecca [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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3
Automatically creating a lexicon of verbal polarity shifters: mono- and cross-lingual methods for German
Schulder, Marc [Verfasser]; Wiegand, Michael [Verfasser]; Ruppenhofer, Josef [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2018
DNB Subject Category Language
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4
Incorporating deep visual features into multiobjective based multi-view search results clustering
In: Mitra, Sayantan, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Saha, Sriparna and Way, Andy orcid:0000-0001-5736-5930 (2018) Incorporating deep visual features into multiobjective based multi-view search results clustering. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, NM, USA. (2018)
BASE
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5
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
Abstract: Large scale knowledge graphs (KGs) such as Freebase are generally incomplete. Reasoning over multi-hop (mh) KG paths is thus an important capability that is needed for question answering or other NLP tasks that require knowledge about the world. mh-KG reasoning includes diverse scenarios, e.g., given a head entity and a relation path, predict the tail entity; or given two enti- ties connected by some relation paths, predict the unknown relation between them. We present ROPs, recurrent one-hop predictors, that predict entities at each step of mh-KB paths by using recurrent neural networks and vector representations of entities and relations, with two benefits: (i) modeling mh-paths of arbitrary lengths while updating the entity and relation representations by the training signal at each step; (ii) handling different types of mh-KG reasoning in a unified framework. Our models show state-of-the-art for two important multi-hop KG reasoning tasks: Knowledge Base Completion and Path Query Answering
Keyword: ddc:000; ddc:004; ddc:400; ddc:410
URL: https://epub.ub.uni-muenchen.de/61860/1/C18-1200.pdf
https://doi.org/10.5282/ubm/epub.61860
http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-61860-0
https://epub.ub.uni-muenchen.de/61860/
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6
A Parametric Implementation of Valence-changing Morphology in the LinGO Grammar Matrix
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7
Semantic Operations for Transfer-based Machine Translation
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8
Modeling Adnominal Possession in the LinGO Grammar Matrix
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9
Challenges and opportunities of applying natural language processing in business process management
Padró, Lluís; Mendling, Jan; Aa, Han van der. - : Association for Computational Linguistics, ACL, 2018
BASE
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