Xingwei Tan

According to our database1, Xingwei Tan authored at least 11 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Cascading Large Language Models for Salient Event Graph Generation.
CoRR, 2024

Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Learning refined features for open-world text classification with class description and commonsense knowledge.
World Wide Web (WWW), March, 2023

Detecting Dependency-Related Sentiment Features for Aspect-Level Sentiment Classification.
IEEE Trans. Affect. Comput., 2023

Event Temporal Relation Extraction with Bayesian Translational Model.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Extracting Event Temporal Relations via Hyperbolic Geometry.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Refined Features for Open-World Text Classification.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
Improving aspect-based sentiment analysis via aligning aspect embedding.
Neurocomputing, 2020

2019
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017
A new samples selecting method based on K nearest neighbors.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017


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