Guandong Xu
Guandong Xu has 2 papers in our library, in 2023–2026, most of them on Semantic parsing & meaning representation, Machine translation; often with Kaize Shi, Xueyao Sun, Lin Li.
OpenAlex · ORCID · Wikidata · h-index 54 · 593 works · 12,417 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 40 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9795
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Semantic parsing & meaning representation · 2 worksMachine translation · 1 work
Works by year
2020s
Papers
- AMR-TST: Abstract Meaning Representation-based Text Style Transfer (2023 · 11 citations)
AMR-TST parses the source sentence into an AMR graph, finds the nodes that carry style (words such as sentiment-bearing adjectives), rewrites those nodes to their style opposites, and generates text from the modified graph. - Concept rather than Document: Context Compression via AMR-based Conceptual Entropy (2026)
RAG systems often pass LLMs long retrieved documents full of material unrelated to the question, which can hurt reasoning and slow inference.
All works
- A Boundary-aware Neural Model for Nested Named Entity Recognition ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetChangmeng Zheng et al.2019 · 177 citations
- TFROM ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYao Wu et al.2021 · 85 citations
- AMR-TST: Abstract Meaning Representation-based Text Style TransferKaize Shi, Xueyao Sun, Li He, et al.Machine translation · 11 citations
- Concept rather than Document: Context Compression via AMR-based Conceptual EntropyFindings of the Association for Computational LinguisticsKaize Shi, Xueyao Sun, Xiaohui Tao, et al.2026
Co-authors here
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2023
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Cited by
Updated
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