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Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy

  • Published:2019-10 Issue: Volume:275 Page:559-574
  • ISSN:0004-3702
  • Container-title:Artificial Intelligence
  • language:en
  • Short-container-title:Artificial Intelligence

Author:

Fernández-González Daniel,Gómez-Rodríguez Carlos

Funder

European Research Council

ERC

MINECO

Xunta de Galicia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference67 articles.

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2. Towards string-to-tree neural machine translation;Aharoni,2017

3. Language;Bloomfield,1933

4. Learning to win by reading manuals in a Monte-Carlo framework;Branavan,2011

5. Improving graph-based random walks for complex question answering using syntactic, shallow semantic and extended string subsequence kernels;Chali;Inf. Process. Manag.,2011

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1. Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers;Cognitive Computation;2024-08-22

2. Strahler number of natural language sentences in comparison with random trees;Journal of Statistical Mechanics: Theory and Experiment;2023-12-01

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4. Discontinuous grammar as a foreign language;Neurocomputing;2023-03

5. Comparative Analysis of LR Parsers in Designing of Compilers;2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2022-11-24
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