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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 7 8 9...690 Hits 81 – 100 of 13.783 81 Adapting BigScience Multilingual Model to Unseen Languages ... Yong, Zheng-Xin; Nikoulina, Vassilina. - : arXiv, 2022 BASE Show details 82 On Efficiently Acquiring Annotations for Multilingual Models ... Moniz, Joel Ruben Antony; Patra, Barun; Gormley, Matthew R.. - : arXiv, 2022 BASE Show details 83 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 84 Does Corpus Quality Really Matter for Low-Resource Languages? ... Artetxe, Mikel; Aldabe, Itziar; Agerri, Rodrigo. - : arXiv, 2022 BASE Show details 85 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 86 mSLAM: Massively multilingual joint pre-training for speech and text ... Bapna, Ankur; Cherry, Colin; Zhang, Yu. - : arXiv, 2022 BASE Show details 87 On the Representation Collapse of Sparse Mixture of Experts ... Chi, Zewen; Dong, Li; Huang, Shaohan. - : arXiv, 2022 BASE Show details 88 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 89 L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models ... Velankar, Abhishek; Patil, Hrushikesh; Gore, Amol. - : arXiv, 2022 BASE Show details 90 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 91 A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model ... Sun, Xin; Ge, Tao; Ma, Shuming. - : arXiv, 2022 BASE Show details 92 A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ... Lees, Alyssa; Tran, Vinh Q.; Tay, Yi. - : arXiv, 2022 BASE Show details 93 Factual Consistency of Multilingual Pretrained Language Models ... Fierro, Constanza; Søgaard, Anders. - : arXiv, 2022 BASE Show details 94 Examining Scaling and Transfer of Language Model Architectures for Machine Translation ... Zhang, Biao; Ghorbani, Behrooz; Bapna, Ankur. - : arXiv, 2022 BASE Show details 95 MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset ... Nielsen, Dan Saattrup; McConville, Ryan. - : arXiv, 2022 BASE Show details 96 Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi ... Velankar, Abhishek; Patil, Hrushikesh; Joshi, Raviraj. - : arXiv, 2022 Abstract: Transformers are the most eminent architectures used for a vast range of Natural Language Processing tasks. These models are pre-trained over a large text corpus and are meant to serve state-of-the-art results over tasks like text classification. In this work, we conduct a comparative study between monolingual and multilingual BERT models. We focus on the Marathi language and evaluate the models on the datasets for hate speech detection, sentiment analysis and simple text classification in Marathi. We use standard multilingual models such as mBERT, indicBERT and xlm-RoBERTa and compare with MahaBERT, MahaALBERT and MahaRoBERTa, the monolingual models for Marathi. We further show that Marathi monolingual models outperform the multilingual BERT variants on five different downstream fine-tuning experiments. We also evaluate sentence embeddings from these models by freezing the BERT encoder layers. We show that monolingual MahaBERT based models provide rich representations as compared to sentence embeddings from ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2204.08669 https://arxiv.org/abs/2204.08669 BASE Hide details 97 Agreement ... Tal, Shira. - : Open Science Framework, 2022 BASE Show details 98 Agreement ... Tal, Shira. - : Open Science Framework, 2022 BASE Show details 99 Natural Language Descriptions of Deep Visual Features ... Hernandez, Evan; Schwettmann, Sarah; Bau, David. - : arXiv, 2022 BASE Show details 100 From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction ... Vacareanu, Robert; Valenzuela-Escarcega, Marco A.; Barbosa, George C. G.. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5 6 7 8 9...690

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