--- title: "Who cites Accessor Variety Criteria for Chinese Word Extraction" description: "50 papers of the Elamur Research library cite «Accessor Variety Criteria for Chinese Word Extraction», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/feng-2004-accessor-variety-criteria-chinese-word/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/feng-2004-accessor-variety-criteria-chinese-word/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Accessor Variety Criteria for Chinese Word…](https://md.research.elamur.ai/free/en/papers/feng-2004-accessor-variety-criteria-chinese-word/) / cited by # Who cites «Accessor Variety Criteria for Chinese Word Extraction» 50 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Accessor Variety Criteria for Chinese Word Extraction»](https://md.research.elamur.ai/free/en/papers/feng-2004-accessor-variety-criteria-chinese-word/) 1. **[Contextual Dependencies in Unsupervised Word Segmentation](https://md.research.elamur.ai/free/en/papers/goldwater-2006-contextual-dependencies-unsupervised-word-segmentation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sharon Goldwater, Thomas L. Griffiths, Mark Johnson*2006 · 372 citations* 2. **[Deep Learning for Chinese Word Segmentation and POS Tagging](https://md.research.elamur.ai/free/en/papers/zheng-2013-deep-learning-chinese-word-segmentation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaoqing Zheng, Hanyang Chen, Tianyu Xu*2013 · 342 citations* 48 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/feng-2004-accessor-variety-criteria-chinese-word/) — Accessor Variety Criteria for Chinese Word Extraction