Bidirectional Transition-Based Dependency Parsing
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| Title: | Bidirectional Transition-Based Dependency Parsing |
|---|---|
| Authors: | Yong Jiang, Kewei Tu, Yunzhe Yuan |
| Source: | Proceedings of the AAAI Conference on Artificial Intelligence. 33:7434-7441 |
| Publisher Information: | Association for the Advancement of Artificial Intelligence (AAAI), 2019. |
| Publication Year: | 2019 |
| Subject Terms: | 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology |
| Description: | Transition-based dependency parsing is a fast and effective approach for dependency parsing. Traditionally, a transitionbased dependency parser processes an input sentence and predicts a sequence of parsing actions in a left-to-right manner. During this process, an early prediction error may negatively impact the prediction of subsequent actions. In this paper, we propose a simple framework for bidirectional transitionbased parsing. During training, we learn a left-to-right parser and a right-to-left parser separately. To parse a sentence, we perform joint decoding with the two parsers. We propose three joint decoding algorithms that are based on joint scoring, dual decomposition, and dynamic oracle respectively. Empirical results show that our methods lead to competitive parsing accuracy and our method based on dynamic oracle consistently achieves the best performance. |
| Document Type: | Article |
| ISSN: | 2374-3468 2159-5399 |
| DOI: | 10.1609/aaai.v33i01.33017434 |
| Access URL: | https://ojs.aaai.org/index.php/AAAI/article/download/4733/4611 https://ojs.aaai.org/index.php/AAAI/article/view/4733 http://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29219 https://ojs.aaai.org/index.php/AAAI/article/download/4733/4611 https://aaai.org/ojs/index.php/AAAI/article/view/4733 https://wvvw.aaai.org/ojs/index.php/AAAI/article/download/4733/4611 https://dblp.uni-trier.de/db/conf/aaai/aaai2019.html#YuanJT19 |
| Rights: | URL: https://www.aaai.org |
| Accession Number: | edsair.doi.dedup.....5de8ea5f01f45bf6be921bf4e9e37c7c |
| Database: | OpenAIRE |
| Abstract: | Transition-based dependency parsing is a fast and effective approach for dependency parsing. Traditionally, a transitionbased dependency parser processes an input sentence and predicts a sequence of parsing actions in a left-to-right manner. During this process, an early prediction error may negatively impact the prediction of subsequent actions. In this paper, we propose a simple framework for bidirectional transitionbased parsing. During training, we learn a left-to-right parser and a right-to-left parser separately. To parse a sentence, we perform joint decoding with the two parsers. We propose three joint decoding algorithms that are based on joint scoring, dual decomposition, and dynamic oracle respectively. Empirical results show that our methods lead to competitive parsing accuracy and our method based on dynamic oracle consistently achieves the best performance. |
|---|---|
| ISSN: | 23743468 21595399 |
| DOI: | 10.1609/aaai.v33i01.33017434 |
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