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Addressing the Data Sparsity Issue in Neural AMR Parsing ...
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GALE English-Chinese Parallel Aligned Treebank -- Training ...
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Two layers of annotation for representing event mentions in news stories
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Neural Network Models for Implicit Discourse Relation Classification in English and Chinese without Surface Features ...
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A convolution BiLSTM neural network model for Chinese event extraction
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Abstract:
Chinese event extraction is a challenging task in information extraction. Previous approaches highly depend on sophisticated feature engineering and complicated natural language processing (NLP) tools. In this paper, we first come up with the language specific issue in Chinese event extraction, and then propose a convolution bidirectional LSTM neural network that combines LSTM and CNN to capture both sentence-level and lexical information without any hand-craft features. Experiments on ACE 2005 dataset show that our approaches can achieve competitive performances in both trigger labeling and argument role labeling.
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URL: https://eprints.lancs.ac.uk/id/eprint/83783/1/160.pdf https://eprints.lancs.ac.uk/id/eprint/83783/ https://doi.org/10.1007/978-3-319-50496-4_23
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GALE Chinese-English Parallel Aligned Treebank -- Training ...
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