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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 14 of 14 1 Lightweight Cross-Lingual Sentence Representation Learning ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chu, Chenhui; Gupta, Prakhar; Jaggi, Martin; Kurohashi, Sadao; Mao, Zhuoyuan. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.226 Abstract: Large-scale models for learning fixed-dimensional cross-lingual sentence representations like Large-scale models for learning fixed-dimensional cross-lingual sentence representations like LASER (Artetxe and Schwenk, 2019b) lead to significant improvement in performance on downstream tasks. However, further increases and modifications based on such large-scale models are usually impractical due to memory limitations. In this work, we introduce a lightweight dual-transformer architecture with just 2 layers for generating memory-efficient cross-lingual sentence representations. We explore different training tasks and observe that current cross-lingual training tasks leave a lot to be desired for this shallow architecture. To ameliorate this, we propose a novel cross-lingual language model, which combines the existing single-word masked language model with the newly proposed cross-lingual token-level reconstruction task. We further augment the ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25556-lightweight-cross-lingual-sentence-representation-learning https://dx.doi.org/10.48448/gqz9-a976 BASE Hide details 2 Obtaining Better Static Word Embeddings Using Contextual Embedding Models ... Gupta, Prakhar; Jaggi, Martin. - : arXiv, 2021 BASE Show details 3 Obtaining Better Static Word Embeddings Using Contextual Embedding Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Gupta, Prakhar; Jaggi, Martin. - : Underline Science Inc., 2021 BASE Show details 4 Correlating Twitter Language with Community-Level Health Outcomes Jaggi, Martin; Grubenmann, Ralf; Logean, Severine Rion... In: http://infoscience.epfl.ch/record/278185 (2020) BASE Show details 5 Robust Cross-lingual Embeddings from Parallel Sentences ... Sabet, Ali; Gupta, Prakhar; Cordonnier, Jean-Baptiste. - : arXiv, 2019 BASE Show details 6 Crosslingual Document Embedding as Reduced-Rank Ridge Regression ... Josifoski, Martin; Paskov, Ivan S.; Paskov, Hristo S.. - : arXiv, 2019 BASE Show details 7 System-Aware Algorithms For Machine Learning Mendler-Dünner, Celestine. - : ETH Zurich, 2019 BASE Show details 8 Crosslingual Document Embedding as Reduced-Rank Ridge Regression Paskov, Ivan S.; West, Robert; Paskov, Hristo S.... In: http://infoscience.epfl.ch/record/263893 (2019) BASE Show details 9 Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification ... Deriu, Jan; Lucchi, Aurelien; De Luca, Valeria. - : arXiv, 2017 BASE Show details 10 Generating Steganographic Text with LSTMs ... Fang, Tina; Jaggi, Martin; Argyraki, Katerina. - : arXiv, 2017 BASE Show details 11 Leveraging large amounts of weakly supervised data for multi-language sentiment classification ... Deriu, Jan Milan; Lucchi, Aurelien; De Luca, Valeria. - : ACM, 2017 BASE Show details 12 Leveraging large amounts of weakly supervised data for multi-language sentiment classification ... Deriu, Jan; Lucchi, Aurélien; De Luca, Valeria. - : ETH Zurich, 2017 BASE Show details 13 Generating Steganographic Text with LSTMs Tina Fang, Tina; Jaggi, Martin; Argyraki, Katerina In: http://infoscience.epfl.ch/record/229881 (2017) BASE Show details 14 Swiss-chocolate : sentiment detection using sparse SVMs and part-of-speech n-grams ... Jaggi, Martin; Uzdilli, Fatih; Cieliebak, Mark. - : Association for Computational Linguistics, 2014 BASE Show details

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