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Hits 21 – 40 of 113

21
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts ...
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22
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
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23
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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24
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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25
Multilingual and Cross-Lingual Intent Detection from Spoken Data ...
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26
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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27
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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28
Parameter space factorization for zero-shot learning across tasks and languages
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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29
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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30
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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31
LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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32
Verb Knowledge Injection for Multilingual Event Processing ...
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33
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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34
Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation
Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2021
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35
Evaluating multilingual text encoders for unsupervised cross-lingual retrieval
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36
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
Abstract: In order to simulate human language capacity, natural language processing systems must be able to reason about the dynamics of everyday situations, including their possible causes and effects. Moreover, they should be able to generalise the acquired world knowledge to new languages, modulo cultural differences. Advances in machine reasoning and cross-lingual transfer depend on the availability of challenging evaluation benchmarks. Motivated by both demands, we introduce Cross-lingual Choice of Plausible Alternatives (XCOPA), a typologically diverse multilingual dataset for causal commonsense reasoning in 11 languages, which includes resource-poor languages like Eastern Apurímac Quechua and Haitian Creole. We evaluate a range of state-of-the-art models on this novel dataset, revealing that the performance of current methods based on multilingual pretraining and zero-shot fine-tuning falls short compared to translation-based transfer. Finally, we propose strategies to adapt multilingual models to out-of-sample ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2005.00333
https://dx.doi.org/10.48550/arxiv.2005.00333
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37
Emergent Communication Pretraining for Few-Shot Machine Translation ...
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38
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer ...
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39
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ...
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40
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
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