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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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Abstract:
Data augmentation is an effective solution to data scarcity in low-resource scenarios. However, when applied to token-level tasks such as NER, data augmentation methods often suffer from token-label misalignment, which leads to unsatsifactory performance. In this work, we propose Masked Entity Language Modeling (MELM) as a novel data augmentation framework for low-resource NER. To alleviate the token-label misalignment issue, we explicitly inject NER labels into sentence context, and thus the fine-tuned MELM is able to predict masked entity tokens by explicitly conditioning on their labels. Thereby, MELM generates high-quality augmented data with novel entities, which provides rich entity regularity knowledge and boosts NER performance. When training data from multiple languages are available, we also integrate MELM with code-mixing for further improvement. We demonstrate the effectiveness of MELM on monolingual, cross-lingual and multilingual NER across various low-resource levels. Experimental results show ... : Accepted at ACL 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2108.13655 https://arxiv.org/abs/2108.13655
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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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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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