1 |
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01856176 ; 2018 (2018)
|
|
BASE
|
|
Show details
|
|
2 |
SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations
|
|
|
|
In: Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies ; https://hal.archives-ouvertes.fr/hal-02977455 ; Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Oct 2018, Bruxelles, Belgium. pp.143-152, ⟨10.18653/v1/K18-2014⟩ ; https://www.conll.org/2018/ (2018)
|
|
BASE
|
|
Show details
|
|
3 |
Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian
|
|
|
|
In: LREC 2018 Proceedings ; Language Resource and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01856178 ; Language Resource and Evaluation Conference, ELRA, May 2018, Miyazaki, Japan ; http://www.lrec-conf.org/proceedings/lrec2018/pdf/600.pdf (2018)
|
|
BASE
|
|
Show details
|
|
4 |
Dependency Parsing of Code-Switching Data with Cross-Lingual Feature Representations
|
|
|
|
In: International Workshop on Computational Linguistics for Uralic Languages ; https://hal.archives-ouvertes.fr/hal-01722243 ; International Workshop on Computational Linguistics for Uralic Languages, Jan 2018, Helsinki, Finland. pp.1 - 17 ; aclweb.org/anthology/W18-0200 (2018)
|
|
BASE
|
|
Show details
|
|
5 |
Language, Cognition, and Computational Models
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01722351 ; Cambridge University Press, 2018 ; https://www.cambridge.org/core/books/language-cognition-and-computational-models/90CC7DBA6CADB1FE361266D311CB4413 (2018)
|
|
BASE
|
|
Show details
|
|
6 |
Introduction: Cognitive Issues in Natural Language Processing
|
|
|
|
In: Language, Cognition, and Computational Models ; https://hal.archives-ouvertes.fr/hal-01722353 ; Language, Cognition, and Computational Models, Cambridge University Press, 2018, 9781316676974 ; https://doi.org/10.1017/9781316676974 (2018)
|
|
BASE
|
|
Show details
|
|
|
|