activity
20192026
most citedStructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

99 citations · 103 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

DynSess: Dynamic Session-Level Evaluation and Optimization Framework for Role-Playing Agents

Rongsheng Zhang, Jiji Tang, Junnan Ren +6

Role-playing with large language models is fundamentally a session-level task, requiring agents to sustain character identity and interaction quality across extended multi-turn con…

cs.CL2022★ 1 cited

Mining Error Templates for Grammatical Error Correction

Yue Zhang, Haochen Jiang, Zuyi Bao +3

Some grammatical error correction (GEC) systems incorporate hand-crafted rules and achieve positive results. However, manually defining rules is time-consuming and laborious. In vi…

cs.CL2022★ 1 cited

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

Yue Zhang, Zhenghua Li, Zuyi Bao +5

This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7,063 sentences collected from three Ch…

cs.CL2021

Entity Relation Extraction as Dependency Parsing in Visually Rich Documents

Yue Zhang, Bo Zhang, Rui Wang +3

Previous works on key information extraction from visually rich documents (VRDs) mainly focus on labeling the text within each bounding box (i.e., semantic entity), while the relat…

cs.CL2019★ 2 cited

Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

Zuyi Bao, Rui Huang, Chen Li +1

Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching. Such requirements and assumptions ar…

cs.CL2019★ 99 cited

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

Wei Wang, Bin Bi, Ming Yan +5

Recently, the pre-trained language model, BERT (and its robustly optimized version RoBERTa), has attracted a lot of attention in natural language understanding (NLU), and achieved…