| Knowing what, how and why: A near complete solution for aspect-based sentiment analysis H Peng, L Xu, L Bing, F Huang, W Lu, L Si AAAI, 2020 | 345 | 2020 |
| Position-Aware Tagging for Aspect Sentiment Triplet Extraction L Xu, H Li, W Lu, L Bing EMNLP, 2020 | 215 | 2020 |
| Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction L Xu, YK Chia, L Bing ACL, 2021 | 145 | 2021 |
| Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans L Xu, L Bing, W Lu, F Huang EMNLP, 2020 | 68* | 2020 |
| Revisiting DocRED--Addressing the False Negative Problem in Relation Extraction Q Tan, L Xu, L Bing, HT Ng, SM Aljunied EMNLP, 2022 | 48 | 2022 |
| Better Feature Integration for Named Entity Recognition L Xu, Z Jie, W Lu, L Bing NAACL, 2021 | 36 | 2021 |
| Better Sampling of Negatives for Distantly Supervised Named Entity Recognition L Xu, L Bing, W Lu Findings of ACL, 2023 | 3* | 2023 |
| Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data Q Tan, L Xu, L Bing, HT Ng Findings of ACL, 2023 | 3 | 2023 |
| Decomposed Prompt Tuning via Low-Rank Reparameterization Y Xiao, L Xu, J Li, W Lu, X Li Findings of EMNLP, 2023 | 2 | 2023 |
| PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models H Tan, Z Guo, Z Shi, L Xu, Z Liu, X Li, Y Wang, L Shang, Q Liu, L Song ACL, 2024 | 1 | 2024 |
| Parameter-Efficient Conversational Recommender System as a Language Processing Task M Ravaut, H Zhang, L Xu, A Sun, Y Liu EACL, 2024 | 1 | 2024 |
Lidong BingAlibaba DAMO, Tencent, CMU, CUHK在 alibaba-inc.com 的电子邮件经过验证
