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Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences ...
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Distributional Discrepancy: A Metric for Unconditional Text Generation ...
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FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation ...
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Exemplar-Controllable Paraphrasing and Translation using Bitext ...
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Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding ...
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SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check ...
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Cross-lingual Word Embeddings beyond Zero-shot Machine Translation ...
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Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation ...
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Synchronous Bidirectional Learning for Multilingual Lip Reading ...
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Multilingual Translation with Extensible Multilingual Pretraining and Finetuning ...
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GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding ...
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#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election ...
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Abstract:
The integrity of democratic political discourse is at the core to guarantee free and fair elections. With social media often dictating the tones and trends of politics-related discussion, it is of paramount important to be able to study online chatter, especially in the run up to important voting events, like in the case of the upcoming November 3, 2020 U.S. Presidential Election. Limited access to social media data is often the first barrier to impede, hinder, or slow down progress, and ultimately our understanding of online political discourse. To mitigate this issue and try to empower the Computational Social Science research community, we decided to publicly release a massive-scale, longitudinal dataset of U.S. politics- and election-related tweets. This multilingual dataset that we have been collecting for over one year encompasses hundreds of millions of tweets and tracks all salient U.S. politics trends, actors, and events between 2019 and 2020. It predates and spans the whole period of Republican and ... : Our dataset is available at: https://github.com/echen102/us-pres-elections-2020 ...
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Keyword:
FOS Computer and information sciences; Social and Information Networks cs.SI
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URL: https://dx.doi.org/10.48550/arxiv.2010.00600 https://arxiv.org/abs/2010.00600
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Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation ...
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