Qianqian Dong
Qianqian Dong has 3 papers in our library, in 2020, most of them on Evaluation & benchmarks, Named entity recognition, Language models & pretraining; often with Liang Xu, Xuanwei Zhang, Cong Yu.
OpenAlex · ORCID · h-index 12 · 38 works · 734 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 228 times in our library · ⭐ Paper Stars ranking: #4511
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Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works
🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 1 workNamed entity recognition · 1 work
Works by year
2020s
Papers
- CLUE: A Chinese Language Understanding Evaluation Benchmark (2020 · 244 citations)
Shared benchmarks such as GLUE and SuperGLUE have driven progress in English NLU, but Chinese had no comparable standard. - CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese (2020 · 69 citations)
Chinese NER research has mostly relied on datasets with only a few coarse entity types (person, location, organization), and current models already score near 95 F1 on them. - CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model (2020 · 57 citations)
Large English pre-training corpora such as C4 and WebText are openly available. Chinese has had only small public collections, such as Chinese Wikipedia (about 1 GB) and THUCTC (about 2 GB). The CLUE organization addresses this gap with CLUECorpus2020, also called C5. It contains roughly 100 GB of Chinese text taken…
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