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Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training ...
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Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network ...
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N-LTP: An Open-source Neural Language Technology Platform for Chinese ...
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Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation ...
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Abstract:
This paper describes our system (HIT-SCIR) submitted to the CoNLL 2018 shared task on Multilingual Parsing from Raw Text to Universal Dependencies. We base our submission on Stanford's winning system for the CoNLL 2017 shared task and make two effective extensions: 1) incorporating deep contextualized word embeddings into both the part of speech tagger and parser; 2) ensembling parsers trained with different initialization. We also explore different ways of concatenating treebanks for further improvements. Experimental results on the development data show the effectiveness of our methods. In the final evaluation, our system was ranked first according to LAS (75.84%) and outperformed the other systems by a large margin. ... : System description paper of our system (HIT-SCIR) for the CoNLL 2018 shared task on Universal Dependency parsing, which was ranked first in the LAS evaluation. Fix typos and grammar errors. Add the results of parser without ensemble ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1807.03121 https://arxiv.org/abs/1807.03121
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Neural Personalized Response Generation as Domain Adaptation ...
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Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning ...
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Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ...
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Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ...
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Effective LSTMs for Target-Dependent Sentiment Classification ...
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