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Enhancing Cross-lingual Prompting with Mask Token Augmentation ...
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Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ...
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Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings ...
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MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ...
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Multilingual AMR Parsing with Noisy Knowledge Distillation ...
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GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems ...
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Abstract:
Much recent progress in task-oriented dialogue (ToD) systems has been driven by available annotation data across multiple domains for training. Over the last few years, there has been a move towards data curation for multilingual ToD systems that are applicable to serve people speaking different languages. However, existing multilingual ToD datasets either have a limited coverage of languages due to the high cost of data curation, or ignore the fact that dialogue entities barely exist in countries speaking these languages. To tackle these limitations, we introduce a novel data curation method that generates GlobalWoZ -- a large-scale multilingual ToD dataset globalized from an English ToD dataset for three unexplored use cases. Our method is based on translating dialogue templates and filling them with local entities in the target-language countries. We release our dataset as well as a set of strong baselines to encourage research on learning multilingual ToD systems for real use cases. ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2110.07679 https://dx.doi.org/10.48550/arxiv.2110.07679
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Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews ...
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On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ...
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Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding ...
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Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction ...
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MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER ...
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Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond ...
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Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning ...
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A knowledge regularized hierarchical approach for emotion cause analysis
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Neural Rating Regression with Abstractive Tips Generation for Recommendation ...
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Reader-Aware Multi-Document Summarization via Sparse Coding ...
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Abstractive Multi-Document Summarization via Phrase Selection and Merging ...
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