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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...16 Hits 1 – 20 of 311 1 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 2 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 3 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 4 pNLP-Mixer: an Efficient all-MLP Architecture for Language ... Fusco, Francesco; Pascual, Damian; Staar, Peter. - : arXiv, 2022 BASE Show details 5 Does Corpus Quality Really Matter for Low-Resource Languages? ... Artetxe, Mikel; Aldabe, Itziar; Agerri, Rodrigo; Perez-de-Viñaspre, Olatz; Soroa, Aitor. - : arXiv, 2022 Abstract: The vast majority of non-English corpora are derived from automatically filtered versions of CommonCrawl. While prior work has identified major issues on the quality of these datasets (Kreutzer et al., 2021), it is not clear how this impacts downstream performance. Taking Basque as a case study, we explore tailored crawling (manually identifying and scraping websites with high-quality content) as an alternative to filtering CommonCrawl. Our new corpus, called EusCrawl, is similar in size to the Basque portion of popular multilingual corpora like CC100 and mC4, yet it has a much higher quality according to native annotators. For instance, 66% of documents are rated as high-quality for EusCrawl, in contrast with <33% for both mC4 and CC100. Nevertheless, we obtain similar results on downstream tasks regardless of the corpus used for pre-training. Our work suggests that NLU performance in low-resource languages is primarily constrained by the quantity rather than the quality of the data, prompting for ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2203.08111 https://arxiv.org/abs/2203.08111 BASE Hide details 6 A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ... Lees, Alyssa; Tran, Vinh Q.; Tay, Yi. - : arXiv, 2022 BASE Show details 7 Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ... Toyoda, Minori; Suzuki, Kanata; Hayashi, Yoshihiko. - : arXiv, 2022 BASE Show details 8 A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots ... Zhang, Sai; Hu, Yuwei; Wu, Yuchuan. - : arXiv, 2022 BASE Show details 9 Improving Intrinsic Exploration with Language Abstractions ... Mu, Jesse; Zhong, Victor; Raileanu, Roberta. - : arXiv, 2022 BASE Show details 10 GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records ... Yang, Xi; PourNejatian, Nima; Shin, Hoo Chang. - : arXiv, 2022 BASE Show details 11 Chain-based Discriminative Autoencoders for Speech Recognition ... Lee, Hung-Shin; Huang, Pin-Tuan; Cheng, Yao-Fei. - : arXiv, 2022 BASE Show details 12 Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis ... Liu, Tingting; Giorgi, Salvatore; Tao, Xiangyu. - : arXiv, 2022 BASE Show details 13 Improving Word Translation via Two-Stage Contrastive Learning ... Li, Yaoyiran; Liu, Fangyu; Collier, Nigel. - : arXiv, 2022 BASE Show details 14 Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction ... Hofstätter, Sebastian; Khattab, Omar; Althammer, Sophia. - : arXiv, 2022 BASE Show details 15 COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ... Qin, Lianhui; Welleck, Sean; Khashabi, Daniel. - : arXiv, 2022 BASE Show details 16 EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English ... Ma, Weicheng; Datta, Samiha; Wang, Lili. - : arXiv, 2022 BASE Show details 17 Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers ... Crothers, Evan; Japkowicz, Nathalie; Viktor, Herna. - : arXiv, 2022 BASE Show details 18 The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance Caucheteux, Charlotte; King, Jean-Rémi In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021) BASE Show details 19 Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks MACAIRE, Cécile In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021) BASE Show details 20 Privacy and utility of x-vector based speaker anonymization Srivastava, Brij Mohan Lal; Maouche, Mohamed; Sahidullah, Md... In: https://hal.inria.fr/hal-03197376 ; 2021 (2021) BASE Show details Page: 1 2 3 4 5...16

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