Xiaojun Zhang
Xiaojun Zhang has 2 papers in our library, in 2015–2026, most of them on Discourse analysis, Speech & spoken language, Evaluation & benchmarks; often with Bingshen Mu, Chris Hokamp, Chuang Ding.
OpenAlex · ORCID · h-index 28 · 181 works · 2,874 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 10 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9238
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksPhilosophy · 1 workSignal Processing · 1 work
🧭 Topics 3Research subjects and languages the work is about.Discourse analysis · 1 workEvaluation & benchmarks · 1 workSpeech & spoken language · 1 work
Works by year
2020s
2010s
Papers
- The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification (2015 · 18 citations)
This paper presents Dublin City University's entry to the CoNLL-2015 shared task on shallow discourse parsing. - WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem (2026)
Wu Chinese has roughly 100 million speakers and is linguistically complex, with voiced initials and intricate tone sandhi.
All works
- The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense ClassificationConference on Computational Natural Language Learning (CoNLL)Longyue Wang, Chris Hokamp, Tsuyoshi Okita, et al.2015 · 18 citations
- Gradable ChatGPT Translation Evaluation ↗arXiv:2401.09984 · no summary yetHui Jiao et al.2024 · 7 citations
- WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing EcosystemFindings of the Association for Computational LinguisticsChengyou Wang, Mingchen Shao, Jingbin Hu, et al.2026
Co-authors here
Venues
- Conference on Computational Natural Language Learning (CoNLL): CoNLL 2015
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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