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Yang Liu

5 paper cards in Mova's library · 2006–2020

Yang Liu wrote 5 of the papers Mova reads, in 2006–2020, most of them on Discourse analysis, Part-of-speech tagging, Machine translation; often with Amir Zeldes, Luke Gessler, Siyao Peng.

OpenAlex · ORCID · h-index 34 · 4905 citations · 128 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: Discourse analysis 3 · Part-of-speech tagging 1 · Machine translation 1

Papers

  1. AMALGUM – A Free, Balanced, Multilayer English Web Corpus (2020)
    AMALGUM is an English web corpus of about 4 million tokens, built from openly licensed online sources in eight genres (news, interviews, travel guides, how-to guides, academic papers, fiction, biographies and forum posts), with about 500k tokens per genre.
  2. GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection (2019)
    GumDrop is a shared-task system for sentence splitting, elementary discourse unit segmentation and connective detection across 15 corpora in 10 languages (RST, SDRT and PDTB styles).
  3. A Discourse Signal Annotation System for RST Trees (2019)
    The paper extends rstWeb, a browser tool for building Rhetorical Structure Theory trees, so that each relation in the tree can carry the signals that let a reader recognise it.
  4. Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres (2019)
    The RST Signalling Corpus records which signals mark each RST relation in news, but not where they are. This pilot anchors signals to tokens in 12 GUM documents (11K tokens) from four genres — academic, how-to, interview, news — with the RST-SC taxonomy extended by visual (image) and textual (title, date…
  5. Tree-to-String Alignment Template for Statistical Machine Translation (2006)
    A tree-to-string alignment template (TAT) pairs a source parse subtree, with variables at some of its leaves, with a target string that uses the same variables.

Co-authors (10)

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