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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. - : arXiv, 2022 BASE Show 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 Abstract: Misinformation is becoming increasingly prevalent on social media and in news articles. It has become so widespread that we require algorithmic assistance utilising machine learning to detect such content. Training these machine learning models require datasets of sufficient scale, diversity and quality. However, datasets in the field of automatic misinformation detection are predominantly monolingual, include a limited amount of modalities and are not of sufficient scale and quality. Addressing this, we develop a data collection and linking system (MuMiN-trawl), to build a public misinformation graph dataset (MuMiN), containing rich social media data (tweets, replies, users, images, articles, hashtags) spanning 21 million tweets belonging to 26 thousand Twitter threads, each of which have been semantically linked to 13 thousand fact-checked claims across dozens of topics, events and domains, in 41 different languages, spanning more than a decade. The dataset is made available as a heterogeneous graph via a ... : 9+3 pages ... Keyword: Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; Information Retrieval cs.IR; Machine Learning cs.LG; Social and Information Networks cs.SI URL: https://arxiv.org/abs/2202.11684 https://dx.doi.org/10.48550/arxiv.2202.11684 BASE Hide 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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