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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. - : Underline Science Inc., 2021 BASE Show 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 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.408 Abstract: The advent of contextual word embeddings — representations of words which incorporate semantic and syntactic information from their context—has led to tremendous improvements on a wide variety of NLP tasks. However, recent contextual models have prohibitively high computational cost in many use-cases and are often hard to interpret. In this work, we demonstrate that our proposed distillation method, which is a simple extension of CBOW-based training, allows to significantly improve computational efficiency of NLP applications, while outperforming the quality of existing static embeddings trained from scratch as well as those distilled from previously proposed methods. As a side-effect, our approach also allows a fair comparison of both contextual and static embeddings via standard lexical evaluation tasks. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25827-obtaining-better-static-word-embeddings-using-contextual-embedding-models https://dx.doi.org/10.48448/fjqg-1d28 BASE Hide 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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