Papers with top-down decoding
Efficient Constituency Parsing by Pointing (2020.acl-main)
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| Challenge: | Constituency parsing is a core task in natural language processing (NLP) Existing methods for constituency paring are greedy transition-based or globally optimized. |
| Approach: | They propose a constituency parsing model that casts the problem into a series of pointing tasks. |
| Outcome: | The proposed model achieves 92.78 F1 without pre-trained models, which is faster than existing models. |
A Conditional Splitting Framework for Efficient Constituency Parsing (2021.acl-long)
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| Challenge: | Developing efficient and effective parsing solutions has always been a key focus in NLP. |
| Approach: | They propose a generic seq2seq parsing framework that casts constituency parsers into a series of conditional splitting decisions. |
| Outcome: | The proposed framework outperforms state-of-the-art (SoTA) methods in discourse parsing . it is based on a syntactic and discourse parsed model and is linear in number of nodes . |