--- title: "Rachel Rudinger — papers and cards" description: "Rachel Rudinger: 3 paper cards in the Research library (2016–2022), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/rachel-rudinger/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rachel-rudinger/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rachel Rudinger # Rachel Rudinger 3 paper cards in the Research library · 2016–2022 Rachel Rudinger wrote 3 of the papers Mova reads, in 2016–2022, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Universal Dependencies](https://md.research.elamur.ai/free/en/topics/universal-dependencies/), [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/); often with [Aaron Steven White](https://md.research.elamur.ai/free/en/authors/aaron-steven-white/), [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/), Connor Baumler. [OpenAlex](https://openalex.org/A5082447472) · [ORCID](https://orcid.org/0000-0002-5506-4701) · [**h-index 20**](https://openalex.org/authors/A5082447472) · [2586 citations](https://openalex.org/authors/A5082447472) · [90 works](https://openalex.org/works?filter=author.id:A5082447472) — 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=Rachel+Rudinger) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rachel+Rudinger) · [dblp](https://dblp.org/search?q=Rachel+Rudinger) · [ACL Anthology](https://aclanthology.org/search/?q=Rachel+Rudinger) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Rachel+Rudinger) Topics: [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 · [Universal Dependencies](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) 1 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 1 ## Ideas Mova took (3) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **kept** — Give every frame a factuality value, not only neg and cond: happened / did not happen / not asserted (wanted, planned, hoped, asked, ordered) / uncertain (modal, hedge). *([Neural Models of Factuality](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/) · implication signatures (51 verbs, prag/data/signatures.tsv) set neg/irrealis on «to» complements top-down; courses 7672/2199→7704/2206 with I2 (35db4e3f7))* - **kept** — Let the student remember only factual frames as facts and keep the rest as wishes or plans (world/src/knowledge.rs): «The fox wanted to eat the grapes» must not answer «Did the fox eat the grapes?» with yes. *([Neural Models of Factuality](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/) · the student treats an irrealis mismatch as NegDisagree; reader alone 7677/2201, with the student 7704/2206 (35db4e3f7))* - **kept** — A realis flag on every frame: did the event happen according to the text? Mova has neg and cond; add «not realised» for the complement of want/plan/try/hope/refuse/promise, for future and modal frames, and for imperatives, so the student does not answer «Did… *([Universal Decompositional Semantics on Universal…](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/) · realis flag for complements of want/plan/try… and «if» clauses kept (35db4e3f7); modals (will/would/might/may/shall/should) as irrealis dropped: −38 tests, −2…)* ## Papers 1. **[Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/baumler-2022-recognition-they-them-as-singular/)** *(2022)* The paper tests whether coreference systems resolve singular personal "they" (a named person) as a singular referent. 2. **[Neural Models of Factuality](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/)** *(2018)* `2 ideas kept` Event factuality asks, for each event-denoting predicate, whether the event happened according to the author, on a scale from −3 (certainly not) to +3 (certainly did). 3. **[Universal Decompositional Semantics on Universal Dependencies](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/)** *(2016)* `1 idea kept` The Decomp project adds semantic annotation on top of UD treebanks by asking ordinary speakers simple, decomposed questions with Likert-scale answers instead of asking for labels like Agent. ## Co-authors (8) - [Aaron Steven White](https://md.research.elamur.ai/free/en/authors/aaron-steven-white/) ×2 - [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/) ×2 - Connor Baumler - Drew Reisinger - [Keisuke Sakaguchi](https://md.research.elamur.ai/free/en/authors/keisuke-sakaguchi/) - Kyle Rawlins - Sheng Zhang - Tim Vieira ## More papers in the library (7) Pages of the Research library: our summary, the ideas, references and who cites each. - [How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?](https://md.research.elamur.ai/free/en/papers/srikanth-2024-how-often-are-errors-natural/) — Neha Srikanth, Marine Carpuat, Rachel Rudinger · 2024 - [Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering](https://md.research.elamur.ai/free/en/papers/srikanth-2024-pregnant-questions-importance-pragmatic-awareness/) — Neha Srikanth, Rupak Sarkar, Heran Mane, et al. · 2024 - [On Measuring Social Biases in Sentence Encoders](https://md.research.elamur.ai/free/en/papers/may-2019-measuring-social-biases-sentence-encoders/) — Chandler May, Alex Wang, Shikha Bordia, et al. · 2019 - [Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://md.research.elamur.ai/free/en/papers/poliak-2018-collecting-diverse-natural-language-inference/) — Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al. · 2018 - [Gender Bias in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/rudinger-2018-gender-bias-coreference-resolution/) — Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al. · 2018 - [Ordinal Common-sense Inference](https://md.research.elamur.ai/free/en/papers/zhang-2017-ordinal-common-sense-inference/) — Sheng Zhang, Rachel Rudinger, Kevin Duh, et al. · 2017 - [Social Bias in Elicited Natural Language Inferences](https://md.research.elamur.ai/free/en/papers/rudinger-2017-social-bias-elicited-natural-language/) — Rachel Rudinger, Chandler May, Benjamin Van Durme · 2017