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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 5 6...68 Hits 21 – 40 of 1.343 21 Multilingual and Multimodal Abuse Detection ... Sharon, Rini; Shah, Heet; Mukherjee, Debdoot. - : arXiv, 2022 BASE Show details 22 MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages ... FitzGerald, Jack; Hench, Christopher; Peris, Charith. - : arXiv, 2022 BASE Show details 23 DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition ... Wang, Xinyu; Shen, Yongliang; Cai, Jiong. - : arXiv, 2022 BASE Show details 24 DeepNet: Scaling Transformers to 1,000 Layers ... Wang, Hongyu; Ma, Shuming; Dong, Li. - : arXiv, 2022 BASE Show details 25 Adapting BigScience Multilingual Model to Unseen Languages ... Yong, Zheng-Xin; Nikoulina, Vassilina. - : arXiv, 2022 BASE Show details 26 On Efficiently Acquiring Annotations for Multilingual Models ... Moniz, Joel Ruben Antony; Patra, Barun; Gormley, Matthew R.. - : arXiv, 2022 BASE Show details 27 Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models ... Bhattacharya, Sunit; Kumar, Rishu; Bojar, Ondrej. - : arXiv, 2022 BASE Show details 28 Does Corpus Quality Really Matter for Low-Resource Languages? ... Artetxe, Mikel; Aldabe, Itziar; Agerri, Rodrigo. - : arXiv, 2022 BASE Show details 29 IIITDWD-ShankarB@ Dravidian-CodeMixi-HASOC2021: mBERT based model for identification of offensive content in south Indian languages ... Biradar, Shankar; Saumya, Sunil. - : arXiv, 2022 BASE Show details 30 mSLAM: Massively multilingual joint pre-training for speech and text ... Bapna, Ankur; Cherry, Colin; Zhang, Yu. - : arXiv, 2022 BASE Show details 31 On the Representation Collapse of Sparse Mixture of Experts ... Chi, Zewen; Dong, Li; Huang, Shaohan. - : arXiv, 2022 BASE Show details 32 Politics and Virality in the Time of Twitter: A Large-Scale Cross-Party Sentiment Analysis in Greece, Spain and United Kingdom ... Antypas, Dimosthenis; Preece, Alun; Collados, Jose Camacho. - : arXiv, 2022 BASE Show details 33 L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models ... Velankar, Abhishek; Patil, Hrushikesh; Gore, Amol. - : arXiv, 2022 BASE Show details 34 Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts ... Amin, Saadullah; Goldstein, Noon Pokaratsiri; Wixted, Morgan Kelly. - : arXiv, 2022 BASE Show details 35 A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model ... Sun, Xin; Ge, Tao; Ma, Shuming; Li, Jingjing; Wei, Furu; Wang, Houfeng. - : arXiv, 2022 Abstract: Synthetic data construction of Grammatical Error Correction (GEC) for non-English languages relies heavily on human-designed and language-specific rules, which produce limited error-corrected patterns. In this paper, we propose a generic and language-independent strategy for multilingual GEC, which can train a GEC system effectively for a new non-English language with only two easy-to-access resources: 1) a pretrained cross-lingual language model (PXLM) and 2) parallel translation data between English and the language. Our approach creates diverse parallel GEC data without any language-specific operations by taking the non-autoregressive translation generated by PXLM and the gold translation as error-corrected sentence pairs. Then, we reuse PXLM to initialize the GEC model and pretrain it with the synthetic data generated by itself, which yields further improvement. We evaluate our approach on three public benchmarks of GEC in different languages. It achieves the state-of-the-art results on the NLPCC 2018 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2201.10707 https://arxiv.org/abs/2201.10707 BASE Hide details 36 A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ... Lees, Alyssa; Tran, Vinh Q.; Tay, Yi. - : arXiv, 2022 BASE Show details 37 Factual Consistency of Multilingual Pretrained Language Models ... Fierro, Constanza; Søgaard, Anders. - : arXiv, 2022 BASE Show details 38 Examining Scaling and Transfer of Language Model Architectures for Machine Translation ... Zhang, Biao; Ghorbani, Behrooz; Bapna, Ankur. - : arXiv, 2022 BASE Show details 39 MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset ... Nielsen, Dan Saattrup; McConville, Ryan. - : arXiv, 2022 BASE Show details 40 Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi ... Velankar, Abhishek; Patil, Hrushikesh; Joshi, Raviraj. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5 6...68

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