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61
The Structure of Philosophical Discourse ...
Lucas, Kyle James. - : Purdue University Graduate School, 2022
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62
Counting ...
Mofu, Suriel; Dalrymple, Mary. - : University of Oxford, 2022
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63
Conversation 1 ...
Mofu, Suriel; Dalrymple, Mary. - : University of Oxford, 2022
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64
Dusner Speakers ...
Mofu, Suriel; Dalrymple, Mary. - : University of Oxford, 2022
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65
Autobiographical Story 2 (Wasior, West Papua) ...
Mofu, Suriel; Dalrymple, Mary. - : University of Oxford, 2022
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66
Conversation between Enos Yoweni and Emma Somisa ...
Mofu, Suriel; Dalrymple, Mary. - : University of Oxford, 2022
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67
Autobiographical Story 1 (Wasior, West Papua) ...
Mofu, Suriel; Dalrymple, Mary. - : University of Oxford, 2022
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68
Photos of Dusner Village ...
Mofu, Suriel; Dalrymple, Mary. - : University of Oxford, 2022
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69
Considerations for Multilingual Wikipedia Research ...
Johnson, Isaac; Lescak, Emily. - : arXiv, 2022
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70
Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers ...
Vitiugin, Fedor; Castillo, Carlos. - : arXiv, 2022
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71
MMTAfrica: Multilingual Machine Translation for African Languages ...
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72
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ...
Abstract: On the world wide web, toxic content detectors are a crucial line of defense against potentially hateful and offensive messages. As such, building highly effective classifiers that enable a safer internet is an important research area. Moreover, the web is a highly multilingual, cross-cultural community that develops its own lingo over time. As such, it is crucial to develop models that are effective across a diverse range of languages, usages, and styles. In this paper, we present the fundamentals behind the next version of the Perspective API from Google Jigsaw. At the heart of the approach is a single multilingual token-free Charformer model that is applicable across a range of languages, domains, and tasks. We demonstrate that by forgoing static vocabularies, we gain flexibility across a variety of settings. We additionally outline the techniques employed to make such a byte-level model efficient and feasible for productionization. Through extensive experiments on multilingual toxic comment ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2202.11176
https://dx.doi.org/10.48550/arxiv.2202.11176
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73
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset ...
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74
Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech? ...
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75
Quantifying knowledge synchronisation in the 21st century ...
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76
An NLP Solution to Foster the Use of Information in Electronic Health Records for Efficiency in Decision-Making in Hospital Care ...
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77
Networks and Identity Drive Geographic Properties of the Diffusion of Linguistic Innovation ...
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78
Snooker Statistics and Zipf's Law ...
Hordijk, Wim. - : arXiv, 2022
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79
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study ...
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80
Stability and evolution of synonyms and homonyms in signaling game ...
Lipowski, Dorota; Lipowski, Adam. - : arXiv, 2022
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