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ORCIDLu Xu 0007
Person information
- affiliation: Singapore University of Technology and Design
- affiliation: DAMO Academy, Alibaba Group
Other persons with the same name
- Lu Xu — disambiguation page
- Lu Xu 0001 — Chinese Academy of Sciences, Institute of Computing Technology, Data Storage and Management Technology Research Center, Beijing, China
- Lu Xu 0002 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Lu Xu 0003
![[0000-0002-0105-708X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0105-708X")
— University of Western Australia, School of Electrical, Electronic, and Computer Engineering, Perth, WA, Australia (and 1 more) - Lu Xu 0004 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Lu Xu 0005 — Chinese Academy of Science, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Lu Xu 0006 — New York University, High Speed Network Lab, New York, NY, USA
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2020 – today
- 2023
[c8]Lu Xu, Lidong Bing, Wei Lu:
Sampling Better Negatives for Distantly Supervised Named Entity Recognition. ACL (Findings) 2023: 4874-4882- [c7]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng:
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. ACL (Findings) 2023: 8630-8643 - [i8]Lu Xu, Lidong Bing, Wei Lu:
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition. CoRR abs/2305.13142 (2023) - [i7]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng:
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. CoRR abs/2306.09697 (2023) - 2022
- [c6]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied:
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. EMNLP 2022: 8472-8487 - [i6]Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng:
Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction. CoRR abs/2205.12696 (2022) - 2021
- [c5]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. ACL/IJCNLP (1) 2021: 4755-4766 - [c4]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. NAACL-HLT 2021: 3457-3469 - [i5]Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing:
Better Feature Integration for Named Entity Recognition. CoRR abs/2104.05316 (2021) - [i4]Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. CoRR abs/2107.12214 (2021) - 2020
- [c3]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. AAAI 2020: 8600-8607 - [c2]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. EMNLP (1) 2020: 2339-2349 - [c1]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. EMNLP (1) 2020: 3561-3567 - [i3]Lu Xu, Hao Li, Wei Lu, Lidong Bing:
Position-Aware Tagging for Aspect Sentiment Triplet Extraction. CoRR abs/2010.02609 (2020) - [i2]Lu Xu, Lidong Bing, Wei Lu, Fei Huang:
Aspect Sentiment Classification with Aspect-Specific Opinion Spans. CoRR abs/2010.02696 (2020)
2010 – 2019
- 2019
- [i1]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. CoRR abs/1911.01616 (2019)
Coauthor Index
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