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Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
This paper explores the task of leveraging typology in the context of cr...
09/20/2019 ∙ by Adam Fisch, et al. ∙
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Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
This paper investigates the problem of learning cross-lingual representa...
09/15/2019 ∙ by Yuxuan Wang, et al. ∙
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GraphIE: A Graph-Based Framework for Information Extraction
Most modern Information Extraction (IE) systems are implemented as seque...
10/31/2018 ∙ by Yujie Qian, et al. ∙
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Multi-Source Domain Adaptation with Mixture of Experts
We propose a mixture-of-experts approach for unsupervised domain adaptat...
09/07/2018 ∙ by Jiang Guo, et al. ∙
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A General Framework for Content-enhanced Network Representation Learning
This paper investigates the problem of network embedding, which aims at ...
10/10/2016 ∙ by Xiaofei Sun, et al. ∙
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Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning
Various treebanks have been released for dependency parsing. Despite tha...
06/03/2016 ∙ by Jiang Guo, et al. ∙
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Exploring Segment Representations for Neural Segmentation Models
Many natural language processing (NLP) tasks can be generalized into seg...
04/19/2016 ∙ by Yijia Liu, et al. ∙
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