--- title: "Juntao Yu — papers and cards" description: "Juntao Yu: 4 paper cards in the Research library (2020–2023), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/juntao-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/juntao-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Juntao Yu # Juntao Yu 4 paper cards in the Research library · 2020–2023 Juntao Yu wrote 4 of the papers Mova reads, in 2020–2023, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/); often with [Massimo Poesio](https://md.research.elamur.ai/free/en/authors/massimo-poesio/), [Carolyn Rosé](https://md.research.elamur.ai/free/en/authors/carolyn-rose/), [Michael Strube](https://md.research.elamur.ai/free/en/authors/michael-strube/). [OpenAlex](https://openalex.org/A5003328793) · [ORCID](https://orcid.org/0000-0001-7971-9154) · [**h-index 13**](https://openalex.org/authors/A5003328793) · [896 citations](https://openalex.org/authors/A5003328793) · [47 works](https://openalex.org/works?filter=author.id:A5003328793) — 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=Juntao+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Juntao+Yu) · [dblp](https://dblp.org/search?q=Juntao+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Juntao+Yu) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Juntao+Yu) Topics: [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 4 · [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) 2 ## Ideas Mova took (1) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **measured, no gain** — Implement the discourse-deixis baseline as a sieve in coref/src/sieve.rs (the disabled demonstratives slot is the place): this/that (and it as subject of happened, was true, means) not followed by a noun → the preceding clause, as an event mention with a… *([The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and…](https://md.research.elamur.ai/free/en/papers/yu-2022-codi-crac-2022-shared-task/) · deixis sieve (event «it», bare this/that → previous clause, as an added clause mention): 17 of 141 right on GUM dev, −0.76/−0.09 CoNLL gold; in coref, off by…)* ## Papers 1. **[Scoring Coreference Chains with Split-Antecedent Anaphors](https://md.research.elamur.ai/free/en/papers/paun-2023-scoring-coreference-chains-split-antecedent/)** *(2023)* Standard coreference scorers (MUC, B3, CEAF, LEA, BLANC) assume that every anaphor refers to one entity, so they cannot score split-antecedent references such as "they" for "John" and "Mary" in "John met Mary. 2. **[The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.research.elamur.ai/free/en/papers/yu-2022-codi-crac-2022-shared-task/)** *(2022)* The second edition of a shared task on anaphora in dialogue, with three tasks: identity anaphora (including split antecedents and singletons), bridging reference, and discourse deixis (a pronoun such as that or this referring to an event, fact or utterance). 3. **[The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.research.elamur.ai/free/en/papers/khosla-2021-codi-crac-2021-shared-task/)** *(2021)* The shared task asks systems to find anaphoric relations in conversation, a genre that OntoNotes-style corpora barely cover. 4. **[Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/yu-2020-free-plural-unrestricted-split-antecedent/)** *(2020)* Most coreference systems give a mention one antecedent, so «John met Mary. They had a chat» cannot be resolved: they refers to two separately introduced entities. The paper builds the first model for this split-antecedent case in general, on ARRAU (news, dialogue, fiction, medical; 507 training anaphors), with gold… ## Co-authors (9) - [Massimo Poesio](https://md.research.elamur.ai/free/en/authors/massimo-poesio/) ×4 - [Carolyn Rosé](https://md.research.elamur.ai/free/en/authors/carolyn-rose/) ×2 - [Michael Strube](https://md.research.elamur.ai/free/en/authors/michael-strube/) ×2 - [Nafise Sadat Moosavi](https://md.research.elamur.ai/free/en/authors/nafise-sadat-moosavi/) ×2 - [Ramesh Manuvinakurike](https://md.research.elamur.ai/free/en/authors/ramesh-manuvinakurike/) ×2 - [Silviu Paun](https://md.research.elamur.ai/free/en/authors/silviu-paun/) ×2 - [Sopan Khosla](https://md.research.elamur.ai/free/en/authors/sopan-khosla/) ×2 - [Vincent Ng](https://md.research.elamur.ai/free/en/authors/vincent-ng/) ×2 - [Lori Levin](https://md.research.elamur.ai/free/en/authors/lori-levin/) ## More papers in the library (11) Pages of the Research library: our summary, the ideas, references and who cites each. - [Assessing the Capabilities of Large Language Models in Coreference: An Evaluation](https://md.research.elamur.ai/free/en/papers/gan-2024-assessing-capabilities-large-language-models/) — Yujian Gan, Massimo Poesio, Juntao Yu · 2024 - [The Universal Anaphora Scorer 2.0](https://md.research.elamur.ai/free/en/papers/yu-2023-universal-anaphora-scorer-2-0/) — Juntao Yu, Michal Novák, Abdulrahman Aloraini, et al. · 2023 - [The Universal Anaphora Scorer](https://md.research.elamur.ai/free/en/papers/yu-2022-universal-anaphora-scorer/) — Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, et al. · 2022 - [Stay Together: A System for Single and Split-antecedent Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/yu-2021-stay-together-system-single-split/) — Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, et al. · 2021 - [A Cluster Ranking Model for Full Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/yu-2020-cluster-ranking-model-full-anaphora/) — Juntao Yu, Alexandra Uma, Massimo Poesio · 2020 - [Multitask Learning-Based Neural Bridging Reference Resolution](https://md.research.elamur.ai/free/en/papers/yu-2020-multitask-learning-based-neural-bridging/) — Juntao Yu, Massimo Poesio · 2020 - [Named Entity Recognition as Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yu-2020-named-entity-recognition-as-dependency/) — Juntao Yu, Bernd Bohnet, Massimo Poesio · 2020 - [Neural Coreference Resolution for Arabic](https://md.research.elamur.ai/free/en/papers/aloraini-2020-neural-coreference-resolution-arabic/) — Abdulrahman Aloraini, Juntao Yu, Massimo Poesio · 2020 - [A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation](https://md.research.elamur.ai/free/en/papers/poesio-2019-crowdsourced-corpus-multiple-judgments-disagreement/) — Massimo Poesio, Jon Chamberlain, Silviu Paun, et al. · 2019 - [A Probabilistic Annotation Model for Crowdsourcing Coreference](https://md.research.elamur.ai/free/en/papers/paun-2018-probabilistic-annotation-model-crowdsourcing-coreference/) — Silviu Paun, Jon Chamberlain, Udo Kruschwitz, et al. · 2018 - [Anaphora Resolution with the ARRAU Corpus](https://md.research.elamur.ai/free/en/papers/poesio-2018-anaphora-resolution-arrau-corpus/) — Massimo Poesio, Yulia Grishina, Varada Kolhatkar, et al. · 2018