Yuanhe Tian

According to our database1, Yuanhe Tian authored at least 35 papers between 2019 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bootstrapping Large Language Models for Radiology Report Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
iDesigner: A High-Resolution and Complex-Prompt Following Text-to-Image Diffusion Model for Interior Design.
CoRR, 2023

A Systematic Review of Deep Learning-based Research on Radiology Report Generation.
CoRR, 2023

ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences.
CoRR, 2023

Improving Image Captioning via Predicting Structured Concepts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

End-to-end Aspect-based Sentiment Analysis with Combinatory Categorial Grammar.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Syntax-driven Approach for Semantic Role Labeling.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

ChiMST: A Chinese Medical Corpus for Word Segmentation and Medical Term Recognition.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Enhancing Relation Extraction via Adversarial Multi-task Learning.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Improving English-Arabic Transliteration with Phonemic Memories.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Combinatory Grammar Tells Underlying Relevance among Entities.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Relation Extraction with Word Graphs from N-grams.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Enhancing Aspect-level Sentiment Analysis with Word Dependencies.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Federated Chinese Word Segmentation with Global Character Associations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Improving Arabic Diacritization with Regularized Decoding and Adversarial Training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Relation Extraction with Type-aware Map Memories of Word Dependencies.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Improving biomedical named entity recognition with syntactic information.
BMC Bioinform., 2020

Improving Constituency Parsing with Span Attention.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Named Entity Recognition for Social Media Texts with Semantic Augmentation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-grams.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Summarizing Medical Conversations via Identifying Important Utterances.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving Chinese Word Segmentation with Wordhood Memory Networks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

ChiMed: A Chinese Medical Corpus for Question Answering.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019


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