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# Yilun Zhu

5 paper cards in Mova's library · 2019–2024

Yilun Zhu wrote 5 of the papers Mova reads, in 2019–2024, most of them on [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/), [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/); often with [Amir Zeldes](https://md.mova.elamur.ai/free/en/docs/papers/authors/amir-zeldes/), [Shabnam Behzad](https://md.mova.elamur.ai/free/en/docs/papers/authors/shabnam-behzad/), [Siyao Peng](https://md.mova.elamur.ai/free/en/docs/papers/authors/siyao-peng/).

[OpenAlex](https://openalex.org/A5067637620) · [ORCID](https://orcid.org/0000-0003-2842-8474) · [**h-index 17**](https://openalex.org/authors/A5067637620) · [944 citations](https://openalex.org/authors/A5067637620) · [103 works](https://openalex.org/works?filter=author.id:A5067637620) — 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](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yilun+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yilun+Zhu) · [dblp](https://dblp.org/search?q=Yilun+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Yilun+Zhu) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Yilun+Zhu)

Topics: [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 2 · [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 1 · [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 1

## Papers

1. **[GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains](https://md.mova.elamur.ai/free/en/docs/papers/liu-2024-gdtb-genre-diverse-data-english/)** *(2024)* PDTB, the only large English shallow-discourse corpus, is news from 1989 and not openly licensed. GDTB converts the GUM corpus (16 genres, 235 documents, 228K tokens) into PDTB v3 style, using GUM's eRST relations, their connective signals, gold UD syntax and coreference: explicit relations come from eRST relations…
2. **[GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge/)** *(2023)* GENTLE is a small English challenge corpus of about 17k tokens in eight unusual genres: dictionary entries, esports commentary, legal documents, medical notes, poetry, mathematical proofs, syllabuses and threat letters.
3. **[Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms](https://md.mova.elamur.ai/free/en/docs/papers/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/)** *(2021)* GUM annotates more coreference than OntoNotes, so the authors convert it automatically to the OntoNotes scheme, using GUM's gold UD trees, in a fixed order of steps: remove bridging and cataphora (an expletive or cataphoric pronoun becomes a singleton), contract verbal mentions to the verb, merge appositions into one…
4. **[AMALGUM – A Free, Balanced, Multilayer English Web Corpus](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-gessler-amalgum-free-balanced-multilayer-english/)** *(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.
5. **[GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection](https://md.mova.elamur.ai/free/en/docs/papers/yu-2019-gumdrop-disrpt2019-shared-task-model/)** *(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).

## Co-authors (16)

- [Amir Zeldes](https://md.mova.elamur.ai/free/en/docs/papers/authors/amir-zeldes/) ×5
- [Shabnam Behzad](https://md.mova.elamur.ai/free/en/docs/papers/authors/shabnam-behzad/) ×3
- [Siyao Peng](https://md.mova.elamur.ai/free/en/docs/papers/authors/siyao-peng/) ×3
- [Jessica Lin](https://md.mova.elamur.ai/free/en/docs/papers/authors/jessica-lin/) ×2
- [Luke Gessler](https://md.mova.elamur.ai/free/en/docs/papers/authors/luke-gessler/) ×2
- [Tatsuya Aoyama](https://md.mova.elamur.ai/free/en/docs/papers/authors/tatsuya-aoyama/) ×2
- [Yang Janet Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/yang-janet-liu/) ×2
- [Yang Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/yang-liu/) ×2
- Devika Tiwari
- Lauren Elizabeth Levine
- [Lauren Levine](https://md.mova.elamur.ai/free/en/docs/papers/authors/lauren-levine/)
- Mackenzie Gong
- [Sameer Pradhan](https://md.mova.elamur.ai/free/en/docs/papers/authors/sameer-pradhan/)
- [Wesley Scivetti](https://md.mova.elamur.ai/free/en/docs/papers/authors/wesley-scivetti/)
- Yan Liu
- Yue Yu
- [← previous Yijia Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/yijia-liu/)
- [next → Ying Xu](https://md.mova.elamur.ai/free/en/docs/papers/authors/ying-xu/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
