Xindi Wang

Orcid: 0000-0002-6548-3547

Affiliations:
  • University of Western Ontario, Canada


According to our database1, Xindi Wang authored at least 10 papers between 2019 and 2025.

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

Timeline

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Links

Online presence:

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Bibliography

2025
Trustworthy Medical Question Answering: An Evaluation-Centric Survey.
CoRR, June, 2025

2024
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
MeSHup: Corpus for Full Text Biomedical Document Indexing.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models.
CoRR, 2019

Incorporating Figure Captions and Descriptive Text in MeSH Term Indexing.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019


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