Search Results - Ravishankar, Vinit

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  1. 1
    Finite-State Back-Transliteration for Marathi

    Finite-State Back-Transliteration for Marathi by Ravishankar, Vinit

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  2. 2
    Understanding Multilingual Language Models: Training, Representation and Architecture

    Understanding Multilingual Language Models: Training, Representation and Architecture by Ravishankar, Vinit

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  3. 3
    A morphological analyser for Maltese

    A morphological analyser for Maltese by Ravishankar, Vinit, Tyers, Francis M., Gatt, Albert

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  4. 4
    The Impact of Positional Encodings on Multilingual Compression

    The Impact of Positional Encodings on Multilingual Compression by Ravishankar, Vinit, Søgaard, Anders

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  5. 5
    Word Order and World Knowledge

    Word Order and World Knowledge by Zhao, Qinghua, Ravishankar, Vinit, Garneau, Nicolas, Søgaard, Anders

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  6. 6
    Word Order Does Matter (And Shuffled Language Models Know It)

    Word Order Does Matter (And Shuffled Language Models Know It) by Ravishankar, Vinit, Abdou, Mostafa, Kulmizev, Artur, Søgaard, Anders

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  7. 7
    A Systematic Comparison of Architectures for Document-Level Sentiment Classification

    A Systematic Comparison of Architectures for Document-Level Sentiment Classification by Barnes, Jeremy, Ravishankar, Vinit, Lilja Øvrelid, Velldal, Erik

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  8. 8
    Probing Multilingual Sentence Representations With X-Probe

    Probing Multilingual Sentence Representations With X-Probe by Ravishankar, Vinit, Lilja Øvrelid, Velldal, Erik

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  9. 9
    Attention Can Reflect Syntactic Structure (If You Let It)

    Attention Can Reflect Syntactic Structure (If You Let It) by Ravishankar, Vinit, Kulmizev, Artur, Abdou, Mostafa, Søgaard, Anders, Nivre, Joakim

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  10. 10
    From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers

    From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers by Lauscher, Anne, Ravishankar, Vinit, Vulić, Ivan, Glavaš, Goran

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  11. 11
    Do Neural Language Models Show Preferences for Syntactic Formalisms?

    Do Neural Language Models Show Preferences for Syntactic Formalisms? by Kulmizev, Artur, Ravishankar, Vinit, Abdou, Mostafa, Nivre, Joakim

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  12. 12
    Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings

    Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings by Mohr, Isabelle, Krimmel, Markus, Sturua, Saba, Mohammad Kalim Akram, Koukounas, Andreas, Günther, Michael, Mastrapas, Georgios, Ravishankar, Vinit, Joan Fontanals Martínez, Wang, Feng, Liu, Qi, Yu, Ziniu, Fu, Jie, Ognawala, Saahil, Guzman, Susana, Wang, Bo, Werk, Maximilian, Wang, Nan, Han, Xiao

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  13. 13
    What can we learn from Semantic Tagging?

    What can we learn from Semantic Tagging? by Abdou, Mostafa, Kulmizev, Artur, Ravishankar, Vinit, Abzianidze, Lasha, Bos, Johan

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  14. 14
    The Sensitivity of Language Models and Humans to Winograd Schema Perturbations

    The Sensitivity of Language Models and Humans to Winograd Schema Perturbations by Abdou, Mostafa, Ravishankar, Vinit, Barrett, Maria, Belinkov, Yonatan, Elliott, Desmond, Søgaard, Anders

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