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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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In: https://hal.archives-ouvertes.fr/hal-01856176 ; 2018 (2018)
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Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only ...
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Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only ...
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
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On the Limitations of Unsupervised Bilingual Dictionary Induction ...
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Bio-SimVerb ...
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Abstract:
Evaluation Dataset: Samples/words in Bio-SimVerb (verbs) and Bio-SimLex (nouns) are collected from a pre-processed PubMed Central Open Access subset (PMC). POS tags and tokens in this resource are generated using the BLLIP constituency parser, trained on a biomedical corpus. The resource covers over 1.4M full articles with more than 388M parsed sentences. Details can be referred in Section 3 of the paper: Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine ...
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Keyword:
Bio-SimLex
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URL: https://dx.doi.org/10.17863/cam.18370 https://www.repository.cam.ac.uk/handle/1810/276631
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Scoring Lexical Entailment with a Supervised Directional Similarity Network ...
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Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization ...
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Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
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Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP ...
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Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction ...
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A deep learning approach to bilingual lexicon induction in the biomedical domain ...
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Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation ...
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Investigating the cross-lingual translatability of VerbNet-style classification. ...
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A deep learning approach to bilingual lexicon induction in the biomedical domain. ...
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Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
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A deep learning approach to bilingual lexicon induction in the biomedical domain.
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Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction
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