[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/carolyn-rose/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Carolyn Rosé # Carolyn Rosé 3 paper cards in Mova's library · 2019–2022 Carolyn Rosé wrote 3 of the papers Mova reads, in 2019–2022, 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/); often with [Juntao Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/juntao-yu/), [Massimo Poesio](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimo-poesio/), [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/). [OpenAlex](https://openalex.org/A5089539629) · [ORCID](https://orcid.org/0000-0003-1128-5155) · [**h-index 54**](https://openalex.org/authors/A5089539629) · [12897 citations](https://openalex.org/authors/A5089539629) · [499 works](https://openalex.org/works?filter=author.id:A5089539629) — 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=Carolyn+Ros%C3%A9) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Carolyn+Ros%C3%A9) · [dblp](https://dblp.org/search?q=Carolyn+Ros%C3%A9) · [ACL Anthology](https://aclanthology.org/search/?q=Carolyn+Ros%C3%A9) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Carolyn+Ros%C3%A9) 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/) 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.mova.elamur.ai/free/en/docs/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. **[The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.mova.elamur.ai/free/en/docs/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). 2. **[The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.mova.elamur.ai/free/en/docs/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. 3. **[EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference](https://md.mova.elamur.ai/free/en/docs/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/)** *(2019)* EQUATE is a benchmark of five test sets for quantitative reasoning in entailment: RTE-Quant (166 pairs from RTE2–4), NewsNLI (968 crowdsourced pairs from news summaries), RedditNLI (250 expert-labelled headline pairs), a synthetic stress test (7,500 pairs) and AwpNLI (722 algebra word problems turned into pairs). ## Co-authors (10) - [Juntao Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/juntao-yu/) ×2 - [Massimo Poesio](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimo-poesio/) ×2 - [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/) ×2 - [Ramesh Manuvinakurike](https://md.mova.elamur.ai/free/en/docs/papers/authors/ramesh-manuvinakurike/) ×2 - [Sopan Khosla](https://md.mova.elamur.ai/free/en/docs/papers/authors/sopan-khosla/) ×2 - [Vincent Ng](https://md.mova.elamur.ai/free/en/docs/papers/authors/vincent-ng/) ×2 - Aakanksha Naik - Abhilasha Ravichander - [Eduard Hovy](https://md.mova.elamur.ai/free/en/docs/papers/authors/eduard-hovy/) - [Lori Levin](https://md.mova.elamur.ai/free/en/docs/papers/authors/lori-levin/) - [← previous Carlos Ramisch](https://md.mova.elamur.ai/free/en/docs/papers/authors/carlos-ramisch/) - [next → Chaitanya Malaviya](https://md.mova.elamur.ai/free/en/docs/papers/authors/chaitanya-malaviya/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)