---
title: "Carolyn Penstein Rosé — author profile and papers in our library"
description: "Carolyn Penstein Rosé, National Institutes of Health: 9 papers on Elamur Research (2016–2026), h-index 53 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/carolyn-penstein-rose/"
---
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# Carolyn Penstein Rosé

Carolyn Penstein Rosé has 9 papers in our library, in 2016–2026, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Sopan Khosla](https://md.research.elamur.ai/free/en/authors/sopan-khosla/), [Juntao Yu](https://md.research.elamur.ai/free/en/authors/juntao-yu/), [Lori Levin](https://md.research.elamur.ai/free/en/authors/lori-levin/). 3 of them are among the papers read by [Mova, the project](https://md.research.elamur.ai/free/en/projects/mova/).

9 papers in our library · 2016–2026

[OpenAlex](https://openalex.org/A5089539629) · [ORCID](https://orcid.org/0000-0003-1128-5155) · [Wikidata](https://www.wikidata.org/wiki/Q102346699) · [**h-index 53**](https://openalex.org/authors/A5089539629) · [499 works](https://openalex.org/works?filter=author.id:A5089539629) · [12,451 citations](https://openalex.org/works?filter=author.id:A5089539629&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 9 works in our library](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/#papers) · [🔗 Cited 491 times in our library](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/cited-by/) · [26 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3748](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3748)

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+Penstein+Ros%C3%A9) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Carolyn+Penstein+Ros%C3%A9) · [dblp](https://dblp.org/search?q=Carolyn+Penstein+Ros%C3%A9) · [ACL Anthology](https://aclanthology.org/search/?q=Carolyn+Penstein+Ros%C3%A9)

## 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…)*

## Affiliations

[🎓**Carnegie Mellon University** Pittsburgh · United States 1992–2026 · 394 papersEducation 1992–1994 · Master of Science in Computational Linguistics, Philosophy/ Computational LinguisticsEducation 1994–1998 · PhD in Language and Information Technologies, Language Technologies InstituteEmployment since 2017 · Professor, Language Technologies Institute and Human-Computer Interaction Institute*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏛️**National Institutes of Health** Bethesda · United States 2020–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/government/national-institutes-of-health/) · [🏥**National Institutes of Health Clinical Center** Bethesda · United States 2020–2026 · 6 papers*current*](https://ror.org/04vfsmv21) · [🎓**University of Pittsburgh** Pittsburgh · United States 1998–2016 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-pittsburgh/) · [🔬**Concord Consortium** Concord · United States 2023–2025 · 3 papers](https://ror.org/0570naj48) · [🎓**North Carolina State University** Raleigh · United States 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/north-carolina-state-university/) · [🏛️**Bundeswehr** Berlin 2017–2025 · 2 papers](https://ror.org/00nmgny79) · [🎓**University of California, Irvine** Irvine · United States 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/) · [🏢**Amazon** Seattle · United States 2019–2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🏢**Human Computer Interaction** Zurich · Switzerland 2014 · 2 papers](https://ror.org/036dv6j71)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 9 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 9 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Communication · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/)

🧭 Topics 10 Research subjects and languages the work is about.[Coreference resolution · 3 works](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [English · 3 works](https://md.research.elamur.ai/free/en/topics/english/) · [Dialogue systems · 3 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Discourse analysis · 2 works](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Speech act theory · 1 work](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Historical linguistics & language change · 1 work](https://md.research.elamur.ai/free/en/topics/language-change/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/year/2026/) · [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/year/2022/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/year/2021/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/year/2020/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/year/2019/) · [**2017** 2 papers](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/year/2017/) · [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/year/2016/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Computational Sociolinguistics: A Survey](https://md.research.elamur.ai/free/en/papers/nguyen-2016-computational-sociolinguistics-survey/)** *(2016 · 288 citations)* This survey maps the emerging research area that the authors call computational sociolinguistics, where computational linguistics (CL) meets sociolinguistics.
2. **[EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/)** *(2019 · 123 citations)* 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).
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 · 47 citations)* The shared task asks systems to find anaphoric relations in conversation, a genre that OntoNotes-style corpora barely cover.
4. **[Using Type Information to Improve Entity Coreference Resolution](https://md.research.elamur.ai/free/en/papers/khosla-2020-type-information-improve-entity-coreference/)** *(2020 · 27 citations)* Neural coreference resolution (CR) systems built on contextual encoders such as BERT usually ignore the entity-type labels that many CR corpora already contain.
5. **[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 · 14 citations)* 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).
6. **[Code-Switching as a Social Act: The Case of Arabic Wikipedia Talk Pages](https://md.research.elamur.ai/free/en/papers/yoder-2017-code-switching-as-social-act/)** *(2017 · 13 citations)* The paper asks whether switching away from Arabic in Arabic Wikipedia discussions carries social meaning, and whether that meaning can be measured.
7. **[Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences](https://md.research.elamur.ai/free/en/papers/jo-2017-modeling-dialogue-acts-content-word/)** *(2017 · 11 citations)* The paper tackles unsupervised recognition of dialogue acts (DAs) in conversations. The authors propose CSM, an HMM-based generative model with two main additions. First, it filters content words. Each conversation receives a slowly changing background topic, drawn from topics shared across the corpus, which absorbs…
8. **[PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics](https://md.research.elamur.ai/free/en/papers/naik-2026-pbebench-multi-step-programming-examples/)** *(2026 · 1 citation)* Most reasoning benchmarks mix logical ability with domain knowledge. This paper tries to separate the two with a task modeled on Sound Law Induction (SLI) from historical linguistics. In SLI, linguists explain how ancestral words became modern forms by positing an ordered series of sound changes. The authors recast…
9. **[Model Transfer for Event tracking as Transcript Understanding for Videos of Small Group Interaction](https://md.research.elamur.ai/free/en/papers/agarwal-2022-model-transfer-event-tracking-as/)** *(2022)* The authors approach understanding videos of small-group work as something broader than analyzing the conversation transcript.

## All works

35 works of theirs in our library, the most cited first; 9 with a page here, the others link their original until we summarise them.

1. **[When Are Tutorial Dialogues More Effective Than Reading? ↗](https://doi.org/10.1080/03640210709336984) Cognitive Science 31(1) · no summary yet**Kurt VanLehn et al.*2007 · 388 citations*
2. **[Computational Sociolinguistics: A Survey](https://md.research.elamur.ai/free/en/papers/nguyen-2016-computational-sociolinguistics-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dong Nguyen, A. Seza Doğruöz, Carolyn P. Rosé, et al.*2016 · 288 citations*
3. **[Stress Test Evaluation for Natural Language Inference ↗](https://aclanthology.org/C18-1198/) Proceedings of the 27th International Conference on Computational Linguistics · no summary yet**Aakanksha Naik et al.*2018 · 285 citations*
4. **[Sentiment Analysis in MOOC Discussion Forums: What does it tell us? ↗](https://openalex.org/W2574248532) no summary yet**Miaomiao Wen, Diyi Yang, Carolyn Penstein Rosé*2014 · 283 citations*
5. **[Social factors that contribute to attrition in MOOCs ↗](https://doi.org/10.1145/2556325.2567879) no summary yet**Carolyn Penstein Rosé et al.*2014 · 147 citations*
6. [**EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference**Abhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.*English · 123 citations*](https://md.research.elamur.ai/free/en/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/)
7. **[Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses ↗](https://doi.org/10.1145/2724660.2724677) ACM Conference on Learning @ Scale (L@S) · no summary yet**Diyi Yang et al.*2015 · 115 citations*
8. **[Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains. ↗](https://openalex.org/W2572363809) Educational Data Mining · no summary yet**Xu Wang et al.*2015 · 108 citations*
9. **[Forum Thread Recommendation for Massive Open Online Courses ↗](https://openalex.org/W2578600733) no summary yet**Diyi Yang et al.*2014 · 79 citations*
10. **[Question recommendation with constraints for massive open online courses ↗](https://doi.org/10.1145/2645710.2645748) ACM Conference on Recommender Systems (RecSys) · no summary yet**Diyi Yang, David Adamson, Carolyn Penstein Rosé*2014 · 64 citations*
11. **[The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit's Quarantine Policy ↗](https://aclanthology.org/W19-3507/) Proceedings of the Third Workshop on Abusive Language Online · no summary yet**Qinlan Shen, Carolyn Rose*2019 · 56 citations*
12. [**The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue**Sopan Khosla, Juntao Yu, Ramesh Manuvinakurike, et al.*English · 47 citations*](https://md.research.elamur.ai/free/en/papers/khosla-2021-codi-crac-2021-shared-task/)
13. **[Positive Impact of Collaborative Chat Participation in an edX MOOC ↗](https://doi.org/10.1007/978-3-319-19773-9_12) Lecture notes in computer science · no summary yet**Oliver Ferschke et al.*2015 · 45 citations*
14. **[Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs ↗](https://doi.org/10.19173/irrodl.v15i5.1853) The International Review of Research in Open and Distributed Learning · no summary yet**Diyi Yang et al.*2014 · 43 citations*
15. **[Exploring the Effect of Student Confusion in Massive Open Online Courses ↗](https://doi.org/10.5281/zenodo.3554605) Journal of Educational Data Mining · no summary yet**Diyi Yang, Robert E. Kraut, Carolyn Penstein Rosé*2016 · 42 citations*
16. **[Attentive Interaction Model: Modeling Changes in View in Argumentation ↗](https://aclanthology.org/N18-1010/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Yohan Jo et al.*2018 · 35 citations*
17. **[Peer Influence on Attrition in Massively Open Online Courses. ↗](https://openalex.org/W2576592220) Educational Data Mining · no summary yet**Diyi Yang, Miaomiao Wen, Carolyn Penstein Rosé*2014 · 35 citations*
18. **[Weakly Supervised Role Identification in Teamwork Interactions ↗](https://aclanthology.org/P15-1161/) Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Diyi Yang, Miaomiao Wen, Carolyn Rosé*2015 · 29 citations*
19. **[Challenges and Opportunities of Dual-Layer MOOCs: Reflections from an edX Deployment Study ↗](https://www.research.ed.ac.uk/en/publications/b007c06d-06f0-4ed5-9872-73d39d92e986) Edinburgh Research Explorer (University of Edinburgh) · no summary yet**Carolyn Penstein Rosé et al.*2015 · 28 citations*
20. **[Using Type Information to Improve Entity Coreference Resolution](https://md.research.elamur.ai/free/en/papers/khosla-2020-type-information-improve-entity-coreference/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Sopan Khosla, Carolyn Rose*2020 · 27 citations*
21. **[Fostering Discussion across Communication Media in Massive Open Online Courses. ↗](https://doi.org/10.22318/cscl2015.404) Computer Supported Collaborative Learning · no summary yet**Oliver Ferschke et al.*2015 · 22 citations*
22. **[Virtual Teams in Massive Open Online Courses ↗](https://doi.org/10.1007/978-3-319-19773-9_124) Lecture notes in computer science · no summary yet**Miaomiao Wen, Diyi Yang, Carolyn Penstein Rosé*2015 · 19 citations*
23. **[Using Context in Machine Translation of Spoken Language ↗](https://aclanthology.org/1995.tmi-1.13/) Proceedings of the Sixth Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages · no summary yet**Lori Levin et al.*1995 · 19 citations*
24. [**The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue**Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, et al.*English · 14 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-codi-crac-2022-shared-task/)
25. **[PerKGQA: Question Answering over Personalized Knowledge Graphs ↗](https://aclanthology.org/2022.findings-naacl.19/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Ritam Dutt et al.*2022 · 14 citations*

[See all 35 works by Carolyn Penstein Rosé →](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/works/)

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Sopan Khosla](https://md.research.elamur.ai/free/en/authors/sopan-khosla/) ×3
- [Juntao Yu](https://md.research.elamur.ai/free/en/authors/juntao-yu/) ×2
- [Lori Levin](https://md.research.elamur.ai/free/en/authors/lori-levin/) ×2
- [Massimo Poesio](https://md.research.elamur.ai/free/en/authors/massimo-poesio/) ×2
- [Michael Strube](https://md.research.elamur.ai/free/en/authors/michael-strube/) ×2
- [Michael Yoder](https://md.research.elamur.ai/free/en/authors/michael-yoder/) ×2
- [Ramesh Manuvinakurike](https://md.research.elamur.ai/free/en/authors/ramesh-manuvinakurike/) ×2
- [Vincent Ng](https://md.research.elamur.ai/free/en/authors/vincent-ng/) ×2
- [A. Seza Doğruöz](https://md.research.elamur.ai/free/en/authors/a-seza-dogruoz/)
- [Aakanksha Naik](https://md.research.elamur.ai/free/en/authors/aakanksha-naik/)
- [Abhilasha Ravichander](https://md.research.elamur.ai/free/en/authors/abhilasha-ravichander/)
- [David R. Mortensen](https://md.research.elamur.ai/free/en/authors/david-r-mortensen/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/) ×3: [CODI 2022](https://md.research.elamur.ai/free/en/venues/codi/2022/), [CODI 2021](https://md.research.elamur.ai/free/en/venues/codi/2021/), [CODI 2020](https://md.research.elamur.ai/free/en/venues/codi/2020/)
- Lecture notes in computer science ×3
- Computer Supported Collaborative Learning ×2
- Educational Data Mining ×2
- [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2016](https://md.research.elamur.ai/free/en/venues/cl/2016/)
- [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/): [CoNLL 2019](https://md.research.elamur.ai/free/en/venues/conll/2019/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2017](https://md.research.elamur.ai/free/en/venues/emnlp/2017/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Workshop on NLP and Computational Social Science](https://md.research.elamur.ai/free/en/venues/workshop-on-nlp-and-computational-social-science/): [Workshop on NLP and Computational Social Science 2017](https://md.research.elamur.ai/free/en/venues/workshop-on-nlp-and-computational-social-science/2017/)
- ACM Conference on Learning @ Scale (L@S)
- ACM Conference on Recommender Systems (RecSys)
- Cognitive Science 31(1)

## Cited by

Papers of our library cite their works 491 times (of the 149,439 papers whose bibliographies we read); [104 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/cited-by/).

Updated 31 October 2026