Longyin Zhang

According to our database1, Longyin Zhang authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Top-down Text-Level Discourse Rhetorical Structure Parsing with Bidirectional Representation Learning.
J. Comput. Sci. Technol., September, 2023

2022
Document-Level Neural Machine Translation with Hierarchical Modeling of Global Context.
J. Comput. Sci. Technol., 2022

Discourse Cohesion Evaluation for Document-Level Neural Machine Translation.
CoRR, 2022

Discourse Parsing Enhanced by Discourse Dependence Perception.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Towards Discourse-Aware Document-Level Neural Machine Translation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Are Eliminated Spans Useless for Coreference Resolution? Not at all.
CoRR, 2021

Multi-level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Coreference Resolution: Are the Eliminated Spans Totally Worthless?
Proceedings of the Natural Language Processing and Chinese Computing, 2021

EDTC: A Corpus for Discourse-Level Topic Chain Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adversarial Learning for Discourse Rhetorical Structure Parsing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Syntax-Guided Sequence to Sequence Modeling for Discourse Segmentation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A Recursive Information Flow Gated Model for RST-Style Text-Level Discourse Parsing.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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