activity
20192023
most citedCLUE: A Chinese Language Understanding Evaluation Benchmark

62 citations · 65 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM

Weijian Xie, Guanyi Chu, Quanhao Qian +7

Dense SLAM based on monocular cameras does indeed have immense application value in the field of AR/VR, especially when it is performed on a mobile device. In this paper, we propos…

cs.CL2022

Procedural Text Understanding via Scene-Wise Evolution

Jialong Tang, Hongyu Lin, Meng Liao +5

Procedural text understanding requires machines to reason about entity states within the dynamical narratives. Current procedural text understanding approaches are commonly \textbf…

cs.CL2021★ 2 cited

From Discourse to Narrative: Knowledge Projection for Event Relation Extraction

Jialong Tang, Hongyu Lin, Meng Liao +5

Current event-centric knowledge graphs highly rely on explicit connectives to mine relations between events. Unfortunately, due to the sparsity of connectives, these methods severe…

cs.CL2020★ 62 cited

CLUE: A Chinese Language Understanding Evaluation Benchmark

Liang Xu, Hai Hu, Xuanwei Zhang +29

The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks. These com…

cs.CL2019★ 1 cited

Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems

Qiang Huang, Jianhui Bu, Weijian Xie +3

Question Answering (QA) systems are used to provide proper responses to users' questions automatically. Sentence matching is an essential task in the QA systems and is usually refo…