Lu Xu

Orcid: 0000-0002-4281-8201

Affiliations:
  • Singapore University of Technology and Design
  • DAMO Academy, Alibaba Group


According to our database1, Lu Xu authored at least 10 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition.
CoRR, 2023

Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Sampling Better Negatives for Distantly Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction.
CoRR, 2022

Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Better Feature Integration for Named Entity Recognition.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Position-Aware Tagging for Aspect Sentiment Triplet Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Aspect Sentiment Classification with Aspect-Specific Opinion Spans.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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