--- title: "Christopher Potts — papers and cards" description: "Christopher Potts: 3 paper cards in the Research library (2010–2025), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/christopher-potts/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/christopher-potts/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Christopher Potts # Christopher Potts 3 paper cards in the Research library · 2010–2025 Christopher Potts wrote 3 of the papers Mova reads, in 2010–2025; often with Atticus Geiger, [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/), [Kyle Mahowald](https://md.research.elamur.ai/free/en/authors/kyle-mahowald/). [OpenAlex](https://openalex.org/A5042601761) · [ORCID](https://orcid.org/0000-0002-7978-6055) · [**h-index 51**](https://openalex.org/authors/A5042601761) · [26650 citations](https://openalex.org/authors/A5042601761) · [266 works](https://openalex.org/works?filter=author.id:A5042601761) — 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=Christopher+Potts) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Christopher+Potts) · [dblp](https://dblp.org/search?q=Christopher+Potts) · [ACL Anthology](https://aclanthology.org/search/?q=Christopher+Potts) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Christopher+Potts) ## Papers 1. **[Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions](https://md.research.elamur.ai/free/en/papers/boguraev-2025-causal-interventions-reveal-shared-structure/)** *(2025)* The paper asks whether a language model uses one shared mechanism for several English filler–gap constructions (embedded wh-questions, matrix wh-questions, relative clauses, clefts, pseudo-clefts, topicalization). 2. **[Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation](https://md.research.elamur.ai/free/en/papers/geiger-2020-neural-natural-language-inference-models/)** *(2020)* The question is whether neural NLI models learn how negation reverses lexical entailment: "dance" entails "move", but "not move" does not entail "not dance". 3. **[Was It Good? It Was Provocative.” Learning the Meaning of Scalar Adjectives](https://md.research.elamur.ai/free/en/papers/marneffe-2010-was-it-good-it-was/)** *(2010)* Indirect answers to yes/no questions often do not say "yes" or "no" outright. "Was it good? It was provocative" leaves the answer open, while "It was great" does not. The authors mine two kinds of evidence. First, scale order between gradable adjectives comes from online IMDB reviews: a word's expected star rating… ## Co-authors (6) - Atticus Geiger - [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) - [Kyle Mahowald](https://md.research.elamur.ai/free/en/authors/kyle-mahowald/) - Kyle Richardson - [Marie-Catherine de Marneffe](https://md.research.elamur.ai/free/en/authors/marie-catherine-de-marneffe/) - Sasha Boguraev ## More papers in the library (13) Pages of the Research library: our summary, the ideas, references and who cites each. - [MSCAW-coref: Multilingual, Singleton and Conjunction-Aware Word-Level Coreference Resolution](https://md.research.elamur.ai/free/en/papers/liu-2024-mscaw-coref-multilingual-singleton-conjunction/) — Houjun Liu, John Bauer, Karel D'Oosterlinck, et al. · 2024 - [CAW-coref: Conjunction-Aware Word-level Coreference Resolution](https://md.research.elamur.ai/free/en/papers/oosterlinck-2023-caw-coref-conjunction-aware-word/) — Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, et al. · 2023 - [ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/) — Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al. · 2022 - [Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/) — Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al. · 2022 - [An Incremental Iterated Response Model of Pragmatics](https://md.research.elamur.ai/free/en/papers/gordon-2019-incremental-iterated-response-model-pragmatics/) — Reuben Cohn-Gordon, Noah Goodman, Christopher Potts · 2019 - [Pragmatically Informative Image Captioning with Character-Level Inference](https://md.research.elamur.ai/free/en/papers/gordon-2018-pragmatically-informative-image-captioning-character/) — Reuben Cohn-Gordon, Noah Goodman, Christopher Potts · 2018 - [Representing Social Media Users for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/kolchinski-2018-representing-social-media-users-sarcasm/) — Y. Alex Kolchinski, Christopher Potts · 2018 - [Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding](https://md.research.elamur.ai/free/en/papers/monroe-2017-colors-context-pragmatic-neural-model/) — Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al. · 2017 - [A computational approach to politeness with application to social factors](https://md.research.elamur.ai/free/en/papers/mizil-2013-computational-approach-politeness-application-social/) — Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, et al. · 2013 - [Implicatures and Nested Beliefs in Approximate Decentralized-POMDPs](https://md.research.elamur.ai/free/en/papers/vogel-2013-implicatures-nested-beliefs-approximate-decentralized/) — Adam Vogel, Christopher Potts, Dan Jurafsky · 2013 - [Did It Happen? The Pragmatic Complexity of Veridicality Assessment](https://md.research.elamur.ai/free/en/papers/marneffe-2012-did-it-happen-pragmatic-complexity/) — Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts · 2012 - [Learning Word Vectors for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/maas-2011-learning-word-vectors-sentiment-analysis/) — Andrew L. Maas, Raymond E. Daly, Peter T. Pham, et al. · 2011 - [Not a Simple Yes or No: Uncertainty in Indirect Answers](https://md.research.elamur.ai/free/en/papers/marneffe-2009-not-simple-yes-or-no/) — Marie-Catherine de Marneffe, Scott Grimm, Christopher Potts · 2009