--- title: "Bing Qin — papers and cards" description: "Bing Qin: 2 paper cards in the Research library (2015–2018), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/bing-qin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bing-qin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bing Qin # Bing Qin 2 paper cards in the Research library · 2015–2018 Bing Qin wrote 2 of the papers Mova reads, in 2015–2018, most of them on [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/), [Universal Dependencies](https://md.research.elamur.ai/free/en/topics/universal-dependencies/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Wanxiang Che](https://md.research.elamur.ai/free/en/authors/wanxiang-che/), [Yijia Liu](https://md.research.elamur.ai/free/en/authors/yijia-liu/), [Nathan Schneider](https://md.research.elamur.ai/free/en/authors/nathan-schneider/). [OpenAlex](https://openalex.org/A5017671620) · [ORCID](https://orcid.org/0000-0002-2543-5604) · [**h-index 47**](https://openalex.org/authors/A5017671620) · [18355 citations](https://openalex.org/authors/A5017671620) · [399 works](https://openalex.org/works?filter=author.id:A5017671620) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Bing+Qin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bing+Qin) · [dblp](https://dblp.org/search?q=Bing+Qin) · [ACL Anthology](https://aclanthology.org/search/?q=Bing+Qin) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Bing+Qin) Topics: [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 1 · [Universal Dependencies](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) 1 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 ## Papers 1. **[Parsing Tweets into Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2018-liu-parsing-tweets-into-universal-dependencies/)** *(2018)* The authors extend the UD guidelines to tweets: emoticons and retweet markers become non-syntactic or discourse tokens, abbreviations such as "idc" stay unnormalized as single words, multiword expressions can be merged, and tweets can have several roots. 2. **[Transition-Based Syntactic Linearization](https://md.research.elamur.ai/free/en/papers/liu-2015-transition-based-syntactic-linearization/)** *(2015)* Syntactic linearization takes a bag of words and optional syntactic constraints and builds the sentence and its tree together. ## Co-authors (6) - [Wanxiang Che](https://md.research.elamur.ai/free/en/authors/wanxiang-che/) ×2 - [Yijia Liu](https://md.research.elamur.ai/free/en/authors/yijia-liu/) ×2 - [Nathan Schneider](https://md.research.elamur.ai/free/en/authors/nathan-schneider/) - [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) - Yi Zhu - [Yue Zhang](https://md.research.elamur.ai/free/en/authors/yue-zhang/) ## More papers in the library (7) Pages of the Research library: our summary, the ideas, references and who cites each. - [Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation](https://md.research.elamur.ai/free/en/papers/yuan-2026-culture-aware-machine-translation-large/) — Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al. · 2026 - [A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) — Lei Huang, Weijiang Yu, Weitao Ma, et al. · 2023 - [UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language](https://md.research.elamur.ai/free/en/papers/xi-2023-unicorn-unified-cognitive-signal-reconstruction/) — Nuwa Xi, Sendong Zhao, Haochun Wang, et al. · 2023 - [SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection](https://md.research.elamur.ai/free/en/papers/yuan-2022-ssr-utilizing-simplified-stance-reasoning/) — Jianhua Yuan, Yanyan Zhao, Yanyue Lu, et al. · 2022 - [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/) — Zhangyin Feng, Daya Guo, Duyu Tang, et al. · 2020 - [Revisiting Pre-Trained Models for Chinese Natural Language Processing](https://md.research.elamur.ai/free/en/papers/cui-2020-revisiting-pre-trained-models-chinese/) — Yiming Cui, Wanxiang Che, Ting Liu, et al. · 2020 - [Pre-Training with Whole Word Masking for Chinese BERT](https://md.research.elamur.ai/free/en/papers/cui-2019-pre-training-whole-word-masking/) — Yiming Cui, Wanxiang Che, Ting Liu, et al. · 2019