Search Results - Dankers, Verna

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  1. 1
    Compositionality Decomposed: How do Neural Networks Generalise?

    Compositionality Decomposed: How do Neural Networks Generalise? by Hupkes, Dieuwke, Dankers, Verna, Mul, Mathijs, Bruni, Elia

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  2. 2
    Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks

    Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks by Dankers, Verna, Titov, Ivan

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  3. 3
    Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality

    Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality by Dankers, Verna, Titov, Ivan

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  4. 4
    Non-Compositionality in Sentiment: New Data and Analyses

    Non-Compositionality in Sentiment: New Data and Analyses by Dankers, Verna, Lucas, Christopher G

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  5. 5
    Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study

    Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study by Züfle, Maike, Dankers, Verna, Titov, Ivan

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  6. 6
    Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation

    Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation by Dankers, Verna, Titov, Ivan, Hupkes, Dieuwke

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  7. 7
    Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation

    Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation by Dankers, Verna, Lucas, Christopher G, Titov, Ivan

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  8. 8
    The paradox of the compositionality of natural language: a neural machine translation case study

    The paradox of the compositionality of natural language: a neural machine translation case study by Dankers, Verna, Bruni, Elia, Hupkes, Dieuwke

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  9. 9
    State-of-the-art generalisation research in NLP: A taxonomy and review

    State-of-the-art generalisation research in NLP: A taxonomy and review by Hupkes, Dieuwke, Giulianelli, Mario, Dankers, Verna, Artetxe, Mikel, Yanai Elazar, Pimentel, Tiago, Christodoulopoulos, Christos, Lasri, Karim, Saphra, Naomi, Sinclair, Arabella, Ulmer, Dennis, Schottmann, Florian, Batsuren, Khuyagbaatar, Kaiser, Sun, Sinha, Koustuv, Khalatbari, Leila, Ryskina, Maria, Frieske, Rita, Cotterell, Ryan, Jin, Zhijing

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  10. 10
    Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge

    Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge by Batsuren, Khuyagbaatar, Vylomova, Ekaterina, Dankers, Verna, Delgerbaatar, Tsetsuukhei, Uzan, Omri, Pinter, Yuval, Bella, Gábor

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  11. 11
    Text Characterization Toolkit

    Text Characterization Toolkit by Simig, Daniel, Wang, Tianlu, Dankers, Verna, Henderson, Peter, Batsuren, Khuyagbaatar, Hupkes, Dieuwke, Diab, Mona

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  12. 12
    Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing

    Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing by Langedijk, Anna, Dankers, Verna, Lippe, Phillip, Bos, Sander, Bryan Cardenas Guevara, Yannakoudakis, Helen, Shutova, Ekaterina

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  13. 13
    Compositionality decomposed: how do neural networks generalise?

    Compositionality decomposed: how do neural networks generalise? by Hupkes, Dieuwke, Dankers, Verna, Mul, Mathijs, Bruni, Elia

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  14. 14
    Transcoding compositionally: using attention to find more generalizable solutions

    Transcoding compositionally: using attention to find more generalizable solutions by Korrel, Kris, Hupkes, Dieuwke, Dankers, Verna, Bruni, Elia

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