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Addressing the Data Sparsity Issue in Neural AMR Parsing ...
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2015-2016 CoNLL Shared Task ...
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Abstract:
Introduction 2015-2016 CoNLL Shared Task, LDC Catalog Number LDC2017T13 and ISBN 1-58563-812-9, contains the Chinese and English training, development and test data for the 2015 and 2016 CoNLL (Conference on Computational Natural Language Learning) Shared Task Evaluation which focused on shallow discourse parsing. The Conference on Computational Natural Language Learning (CoNLL) is accompanied every year by a shared task intended to promote natural language processing applications and evaluate them in a standard setting. Shallow discourse parsing is the task of parsing a piece of text into a set of discourse relations between two adjacent or non-adjacent discourse units. This task is called shallow discourse parsing because the relations in a text are not connected to one another to form a connected structure ...
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URL: https://dx.doi.org/10.35111/x63k-xv09 https://catalog.ldc.upenn.edu/LDC2017T13
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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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GALE Chinese-English Parallel Aligned Treebank -- Training ...
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