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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics: Dagstuhl Seminar 21351
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In: Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03507948 ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics, Aug 2021, pp.89--138, 2021, 2192-5283. ⟨10.4230/DagRep.11.7.89⟩ ; https://gitlab.com/unlid/dagstuhl-seminar/-/wikis/home (2021)
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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351)
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Syntactic Nuclei in Dependency Parsing -- A Multilingual Exploration ...
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Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 21351) ...
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Attention Can Reflect Syntactic Structure (If You Let It) ...
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What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions? ...
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Schrödinger's Tree -- On Syntax and Neural Language Models ...
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Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding ...
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Abstract:
We present Køpsala, the Copenhagen-Uppsala system for the Enhanced Universal Dependencies Shared Task at IWPT 2020. Our system is a pipeline consisting of off-the-shelf models for everything but enhanced graph parsing, and for the latter, a transition-based graph parser adapted from Che et al. (2019). We train a single enhanced parser model per language, using gold sentence splitting and tokenization for training, and rely only on tokenized surface forms and multilingual BERT for encoding. While a bug introduced just before submission resulted in a severe drop in precision, its post-submission fix would bring us to 4th place in the official ranking, according to average ELAS. Our parser demonstrates that a unified pipeline is effective for both Meaning Representation Parsing and Enhanced Universal Dependencies. ... : IWPT shared task 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2005.12094 https://arxiv.org/abs/2005.12094
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Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English ...
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Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English ...
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ...
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Do Neural Language Models Show Preferences for Syntactic Formalisms? ...
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