--- title: "Patrick Xia — papers and cards" description: "Patrick Xia: 2 paper cards in the Research library (2020–2021), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/patrick-xia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/patrick-xia/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Patrick Xia # Patrick Xia 2 paper cards in the Research library · 2020–2021 Patrick Xia wrote 2 of the papers Mova reads, in 2020–2021, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/); often with [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/), João Sedoc, Karen Livescu. [OpenAlex](https://openalex.org/A5018805044) · [**h-index 15**](https://openalex.org/authors/A5018805044) · [1152 citations](https://openalex.org/authors/A5018805044) · [36 works](https://openalex.org/works?filter=author.id:A5018805044) — 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=Patrick+Xia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Patrick+Xia) · [dblp](https://dblp.org/search?q=Patrick+Xia) · [ACL Anthology](https://aclanthology.org/search/?q=Patrick+Xia) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Patrick+Xia) Topics: [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 2 ## Papers 1. **[On Generalization in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/)** *(2021)* The paper asks whether coreference models trained on one dataset transfer to others. It consolidates eight datasets (OntoNotes, LitBank, PreCo as training sets; Character Identification, WikiCoref, Quiz Bowl, GAP and Winograd-style WSC as evaluation or analysis sets) and trains a long-document entity-ranking model… 2. **[Incremental Neural Coreference Resolution in Constant Memory](https://md.research.elamur.ai/free/en/papers/xia-2020-incremental-neural-coreference-resolution-constant/)** *(2020)* The paper turns a strong all-pairs coreference model (SpanBERT, Joshi et al. 2020) into an incremental one that reads a document segment by segment and keeps a fixed-size list of entities. Each new mention is scored against entity representations (not individual earlier mentions); it joins the best entity if the… ## Co-authors (6) - [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/) - João Sedoc - Karen Livescu - [Kevin Gimpel](https://md.research.elamur.ai/free/en/authors/kevin-gimpel/) - [Sam Wiseman](https://md.research.elamur.ai/free/en/authors/sam-wiseman/) - Shubham Toshniwal ## More papers in the library (7) Pages of the Research library: our summary, the ideas, references and who cites each. - [Multilingual Coreference Resolution in Multiparty Dialogue](https://md.research.elamur.ai/free/en/papers/zheng-2023-multilingual-coreference-resolution-multiparty-dialogue/) — Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, et al. · 2023 - [Adapting Coreference Resolution Models through Active Learning](https://md.research.elamur.ai/free/en/papers/yuan-2022-adapting-coreference-resolution-models-through/) — Michelle Yuan, Patrick Xia, Chandler May, et al. · 2022 - [Multi-Sentence Argument Linking](https://md.research.elamur.ai/free/en/papers/ebner-2020-multi-sentence-argument-linking/) — Seth Ebner, Patrick Xia, Ryan Culkin, et al. · 2020 - [UniMorph 3.0: Universal Morphology](https://md.research.elamur.ai/free/en/papers/mccarthy-2020-unimorph-3-0-universal-morphology/) — Arya D. McCarthy, Christo Kirov, Matteo Grella, et al. · 2020 - [Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting](https://md.research.elamur.ai/free/en/papers/hu-2019-improved-lexically-constrained-decoding-translation/) — J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al. · 2019 - [Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/) — Najoung Kim, Roma Patel, Adam Poliak, et al. · 2019 - [What do you learn from context? Probing for sentence structure in contextualized word representations](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) — Ian Tenney, Patrick Xia, Berlin Chen, et al. · 2019