Ya Guo
2023
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding
Yi Tu
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Ya Guo
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Huan Chen
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Jinyang Tang
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Visually-rich Document Understanding (VrDU) has attracted much research attention over the past years.Pre-trained models on a large number of document images with transformer-based backbones have led to significant performance gains in this field.The major challenge is how to fusion the different modalities (text, layout, and image) of the documents in a unified model with different pre-training tasks. This paper focuses on improving text-layout interactions and proposes a novel multi-modal pre-training model, LayoutMask.LayoutMask uses local 1D position, instead of global 1D position, as layout input and has two pre-training objectives: (1) Masked Language Modeling: predicting masked tokens with two novel masking strategies; (2) Masked Position Modeling: predicting masked 2D positions to improve layout representation learning.LayoutMask can enhance the interactions between text and layout modalities in a unified model and produce adaptive and robust multi-modal representations for downstream tasks.Experimental results show that our proposed method can achieve state-of-the-art results on a wide variety of VrDU problems, including form understanding, receipt understanding, and document image classification.
2016
Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary
Qi Zhang
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Jin Qian
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Ya Guo
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Yaqian Zhou
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Xuanjing Huang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
2014
A Generative Model for Identifying Target Companies of Microblogs
Yeyun Gong
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Yaqian Zhou
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Ya Guo
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Qi Zhang
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Xuanjing Huang
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
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Co-authors
- Qi Zhang 2
- Yaqian Zhou 2
- Xuan-Jing Huang 2
- Yi Tu 1
- Huan Chen 1
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