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explosion/spaCy: v3.3.0: Improved speed, new trainable lemmatizer, and pipelines for Finnish, Korean and Swedish ...
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explosion/spaCy: v3.3.0: Improved speed, new trainable lemmatizer, and pipelines for Finnish, Korean and Swedish ...
Abstract: ✨ New features and improvements Improved speeds for many components, see speed benchmarks for trained pipelines: Speed up parser and NER by using constant-time head lookups (#10048). Support unnormalized softmax probabilities in spacy.Tagger.v2 to speed up inference for the tagger, morphologizer, senter and trainable lemmatizer (#10197). Speed up parser projectivization functions (#10241). Replace Ragged with faster AlignmentArray in Example for training (#10319). Improve Matcher speed (#10659). Improve serialization speed for empty Doc.spans (#10250). NEW : A trainable lemmatizer component that uses edit trees to transform tokens to lemmas. Add it to your config with spacy init config -p trainable_lemmatizer or using the quickstart. Language updates: Initial support for Lower Sorbian and Upper Sorbian. New noun chunks for Finnish. Updated noun chunks for French, Italian and Spanish. Additional updates for English, French, Italian, Japanese, Korean, Norwegian, Russian, Slovenian, Spanish, Turkish, Ukrainian ...
URL: https://dx.doi.org/10.5281/zenodo.6504092
https://zenodo.org/record/6504092
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No Word is an Island -- A Transformation Weighting Model for Semantic Composition ...
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No Word is an Island—A Transformation Weighting Model for Semantic Composition
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 437-451 (2019) (2019)
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Challenges in Enhancing the Index Thomisticus Treebank with Semantic and Pragmatic Annotation
Gonzalez Saavedra, Berta; Passarotti, Marco Carlo (orcid:0000-0002-9806-7187). - : Department of Linguistics, University of Tübingen, 2014. : country:DEU, 2014. : place:Tubingen, 2014
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