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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 Page: 1 2 3 4 Hits 1 – 20 of 79 1 A Quantitative and Qualitative Analysis of Schizophrenia Language ... Alqahtani, Amal; Kay, Efsun Sarioglu; Hamidian, Sardar. - : arXiv, 2022 BASE Show details 2 Towards Responsible Natural Language Annotation for the Varieties of Arabic ... Bergman, A. Stevie; Diab, Mona T.. - : arXiv, 2022 BASE Show details 3 Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation ... Renduchintala, Adithya; Diaz, Denise; Heafield, Kenneth. - : arXiv, 2021 BASE Show details 4 Few-shot Learning with Multilingual Language Models ... Lin, Xi Victoria; Mihaylov, Todor; Artetxe, Mikel; Wang, Tianlu; Chen, Shuohui; Simig, Daniel; Ott, Myle; Goyal, Naman; Bhosale, Shruti; Du, Jingfei; Pasunuru, Ramakanth; Shleifer, Sam; Koura, Punit Singh; Chaudhary, Vishrav; O'Horo, Brian; Wang, Jeff; Zettlemoyer, Luke; Kozareva, Zornitsa; Diab, Mona; Stoyanov, Veselin; Li, Xian. - : arXiv, 2021 Abstract: Large-scale autoregressive language models such as GPT-3 are few-shot learners that can perform a wide range of language tasks without fine-tuning. While these models are known to be able to jointly represent many different languages, their training data is dominated by English, potentially limiting their cross-lingual generalization. In this work, we train multilingual autoregressive language models on a balanced corpus covering a diverse set of languages, and study their few- and zero-shot learning capabilities in a wide range of tasks. Our largest model with 7.5 billion parameters sets new state of the art in few-shot learning in more than 20 representative languages, outperforming GPT-3 of comparable size in multilingual commonsense reasoning (with +7.4% absolute accuracy improvement in 0-shot settings and +9.4% in 4-shot settings) and natural language inference (+5.4% in each of 0-shot and 4-shot settings). On the FLORES-101 machine translation benchmark, our model outperforms GPT-3 on 171 out of 182 ... : 36 pages ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2112.10668 https://dx.doi.org/10.48550/arxiv.2112.10668 BASE Hide details 5 AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization ... Fabbri, Alexander R.; Wu, Xiaojian; Iyer, Srini. - : arXiv, 2021 BASE Show details 6 Green NLP panel ... 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; ., Iryna; Arase, Yuki. - : Underline Science Inc., 2021 BASE Show details 7 Detecting Hallucinated Content in Conditional Neural Sequence Generation ... 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; Diab, Mona; Ghazvininejad, Marjan. - : Underline Science Inc., 2021 BASE Show details 8 Gender bias amplification during Speed-Quality optimization in Neural Machine Translation ... 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; Diab, Mona; Diaz, Denise. - : Underline Science Inc., 2021 BASE Show details 9 Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ... Ko, Wei-Jen; El-Kishky, Ahmed; Renduchintala, Adithya. - : arXiv, 2021 BASE Show details 10 Discrete Cosine Transform as Universal Sentence Encoder ... Almarwani, Nada; Diab, Mona. - : arXiv, 2021 BASE Show details 11 Discrete Cosine Transform as Universal Sentence Encoder ... 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; Almarwani, Nada; Diab, Mona. - : Underline Science Inc., 2021 BASE Show details 12 Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages ... The 28th International Conference on Computational Linguistics 2020; Diab, Mona; Kayi, Efsun. - : Underline Science Inc., 2020 BASE Show details 13 DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ... Hidey, Christopher; Chakrabarty, Tuhin; Alhindi, Tariq. - : arXiv, 2020 BASE Show details 14 Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies ... Aminian, Maryam; Rasooli, Mohammad Sadegh; Diab, Mona. - : arXiv, 2020 BASE Show details 15 Overview for the Second Shared Task on Language Identification in Code-Switched Data ... Molina, Giovanni; AlGhamdi, Fahad; Ghoneim, Mahmoud. - : arXiv, 2019 BASE Show details 16 WASA: A Web Application for Sequence Annotation ... AlGhamdi, Fahad; Diab, Mona. - : arXiv, 2019 BASE Show details 17 Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data ... Diab, Mona; Ghoneim, Mahmoud; Hawwari, Abdelati. - : arXiv, 2019 BASE Show details 18 Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues ... Levi, Or; Hosseini, Pedram; Diab, Mona. - : arXiv, 2019 BASE Show details 19 Part of speech tagging for code switched data ... AlGhamdi, Fahad; Molina, Giovanni; Diab, Mona. - : arXiv, 2019 BASE Show details 20 Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task ... Aguilar, Gustavo; AlGhamdi, Fahad; Soto, Victor. - : arXiv, 2019 BASE Show details Page: 1 2 3 4

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