Wanxiang Che
Wanxiang Che wrote 3 of the papers Mova reads, in 2015–2021, most of them on Dependency parsing, Universal Dependencies, Machine translation; often with Bing Qin, Yijia Liu, Ivan Titov.
OpenAlex · ORCID · h-index 50 · 9312 citations · 360 works — openalex, 2026-10-18
Topics: Dependency parsing 2 · Universal Dependencies 1 · Machine translation 1
Papers
- A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples (2021)
The paper attacks two English dependency parsers, a biaffine graph parser and a stack-pointer parser, by substituting words. - 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. - 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 (11)
- Bing Qin ×2
- Yijia Liu ×2
- Ivan Titov
- Nathan Schneider
- Noah A. Smith
- Shay B. Cohen
- Ting Liu
- Yi Zhu
- Yue Zhang
- Yuxuan Wang
- Zhilin Lei
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/wanxiang-che/