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Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sentiment analysis of user-generated reviews or comments on products and...
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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...
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Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
This paper investigates the problem of learning cross-lingual representa...
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GraphIE: A Graph-Based Framework for Information Extraction
Most modern Information Extraction (IE) systems are implemented as seque...
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Multi-Source Domain Adaptation with Mixture of Experts
We propose a mixture-of-experts approach for unsupervised domain adaptat...
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A General Framework for Content-enhanced Network Representation Learning
This paper investigates the problem of network embedding, which aims at ...
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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...
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Exploring Segment Representations for Neural Segmentation Models
Many natural language processing (NLP) tasks can be generalized into seg...
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