Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Wanxiang Che

Wanxiang Che

3 paper cards in Mova's library · 2015–2021

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

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 · ORCID

Topics: Dependency parsing 2 · Universal Dependencies 1 · Machine translation 1

Papers

  1. 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.
  2. 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.
  3. 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)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/wanxiang-che/