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Look It Up: Bilingual Dictionaries Improve Neural Machine Translation ...
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Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
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Abstract:
Knowledge bases (KBs) are paramount in NLP. We employ multiview learning for increasing accuracy and coverage of entity type information in KBs. We rely on two metaviews: language and representation. For language, we consider high-resource and lowresource languages from Wikipedia. For representation, we consider representations based on the context distribution of the entity (i.e., on its embedding), on the entity’s name (i.e., on its surface form) and on its description in Wikipedia. The two metaviews language and representation can be freely combined: each pair of language and representation (e.g., German embedding, English description, Spanish name) is a distinct view. Our experiments on entity typing with fine-grained classes demonstrate the effectiveness of multiview learning. We release MVET, a large multiview – and, in particular, multilingual – entity typing dataset we created. Mono- and multilingual finegrained entity typing systems can be evaluated on this dataset.
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Keyword:
ddc:000; ddc:004; ddc:400; ddc:410
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URL: https://epub.ub.uni-muenchen.de/61855/1/D18-1343.pdf https://epub.ub.uni-muenchen.de/61855/ https://doi.org/10.5282/ubm/epub.61855 http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-61855-3
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A Probabilistic Annotation Model for Crowdsourcing Coreference
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Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization
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A case study on using speech-to-translation alignments for language documentation ...
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Documentary Linguistics and Computational Linguistics: A response to Brooks
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Documentary Linguistics and Computational Linguistics: A response to Brooks
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The International Workshop on Language Preservation: An Experiment in Text Collection and Language Technology
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The International Workshop on Language Preservation: An Experiment in Text Collection and Language Technology
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Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics
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In: Dill, Ken A; Lucas, Adam; Hockenmaier, Julia; Huang, Liang; Chiang, David; & Joshi, Aravind K.(2007). Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics. Polymer, 48, 4289 - 4300. doi:10.1016/j.polymer.2007.05.018. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/235458px (2007)
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