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Xinchi Chen

Xinchi Chen has 2 papers in our library, in 2015–2025, most of them on Reasoning, Tokenization & segmentation; often with Bonan Min, Jifan Chen, Pengfei Liu.

2 papers in our library · 2015–2025

OpenAlex · h-index 14 · 24 works · 1,168 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 135 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4719

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢AmazonSeattle · United States2021–2025 · 2 paperscurrent🎓Fudan UniversityShanghai · China2015–2019 · 15 papers🎓University of EdinburghEdinburgh · United Kingdom2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Tokenization & segmentation · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Tokenization · 1 work

 Works by year

2020s

20251 paper

2010s

20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Long Short-Term Memory Neural Networks for Chinese Word Segmentation (2015 · 336 citations)
    Chinese word segmentation (CWS) is usually treated as character-level tagging with the B/M/E/S scheme. Prior neural taggers, including the models of Zheng et al. (2013) and Pei et al. (2014), consider only a fixed span of surrounding characters, and widening this span usually leads to overfitting instead of…
  2. Benchmarking Query-Conditioned Natural Language Inference (2025 · 1 citation)
    Classic NLI asks whether an entire premise supports an entire hypothesis. That is too blunt for long documents, which often agree on some points and clash on others. The authors propose Query-Conditioned NLI (QC-NLI), where the relation between two documents is judged only with respect to a question that selects the…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Long Short-Term Memory Neural Networks for Chinese Word SegmentationConference on Empirical Methods in Natural Language Processing (EMNLP)Xinchi Chen, Xipeng Qiu, Chenxi Zhu, et al.2015 · 336 citations
  2. Adversarial Multi-Criteria Learning for Chinese Word Segmentation ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXinchi Chen et al.2017 · 223 citations
  3. Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetPengfei Liu et al.2015 · 197 citations
  4. Benchmarking Query-Conditioned Natural Language InferenceFindings of the Association for Computational LinguisticsMarc E. Canby, Xinchi Chen, Xing Niu, et al.2025 · 1 citation

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 135 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xinchi-chen/