Improving Neural Parsing by Disentangling Model Combination and Reranking Effects-Reference-Cited by-同舟云学术

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Improving Neural Parsing by Disentangling Model Combination and Reranking Effects

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
language:
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Author:

Fried Daniel,Stern Mitchell,Klein Dan

Publisher

Association for Computational Linguistics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bidirectional Macro-level Discourse Parser Based on Oracle Selection;Lecture Notes in Computer Science;2022

2. A Systematic Review of Deep Learning Approaches for Natural Language Processing in Battery Materials Domain;IETE Technical Review;2021-10-12

3. A note on constituent parsing for Korean;Natural Language Engineering;2020-11-10

4. Representation learning in discourse parsing: A survey;Science China Technological Sciences;2020-09-16

5. Optimizing for Measure of Performance in Max-Margin Parsing;IEEE Transactions on Neural Networks and Learning Systems;2019

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