Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. - Haiyun Peng; Lu Xu 007; Lidong Bing; Fei Huang 002; Wei Lu 011; Luo Si (AAAI, 2020)

Aspect Sentiment Classification with Aspect-Specific Opinion Spans. - Lu Xu 007; Lidong Bing; Wei Lu 011; Fei Huang 002 (EMNLP (1), 2020)

Position-Aware Tagging for Aspect Sentiment Triplet Extraction. - Lu Xu 007; Hao Li; Wei Lu 011; Lidong Bing (EMNLP (1), 2020)

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. - Lu Xu 007; Yew Ken Chia; Lidong Bing (ACL/IJCNLP (1), 2021)

Better Feature Integration for Named Entity Recognition. - Lu Xu 007; Zhanming Jie; Wei Lu 011; Lidong Bing (NAACL-HLT, 2021)

Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. - Qingyu Tan; Lu Xu 007; Lidong Bing; Hwee Tou Ng; Sharifah Mahani Aljunied (EMNLP, 2022)

Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction. - Qingyu Tan; Lu Xu 007; Lidong Bing; Hwee Tou Ng (CoRR, 2022)

Sampling Better Negatives for Distantly Supervised Named Entity Recognition. - Lu Xu 007; Lidong Bing; Wei Lu 011 (ACL (Findings), 2023)

Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. - Qingyu Tan; Lu Xu 007; Lidong Bing; Hwee Tou Ng (ACL (Findings), 2023)

Decomposed Prompt Tuning via Low-Rank Reparameterization. - Yao Xiao; Lu Xu 007; Jiaxi Li 001; Wei Lu 011; Xiaoli Li 001 (EMNLP (Findings), 2023)

Better Sampling of Negatives for Distantly Supervised Named Entity Recognition. - Lu Xu 007; Lidong Bing; Wei Lu 011 (CoRR, 2023)