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# Judith Degen

5 paper cards in Mova's library · 2015–2023

Judith Degen wrote 5 of the papers Mova reads, in 2015–2023, most of them on [Implicature](https://md.mova.elamur.ai/free/en/docs/papers/topics/implicature/); often with [Sebastian Schuster](https://md.mova.elamur.ai/free/en/docs/papers/authors/sebastian-schuster/), Elissa Li, [Jennifer Hu](https://md.mova.elamur.ai/free/en/docs/papers/authors/jennifer-hu/).

[OpenAlex](https://openalex.org/A5054627290) · [ORCID](https://orcid.org/0000-0003-2513-0234) · [**h-index 26**](https://openalex.org/authors/A5054627290) · [2115 citations](https://openalex.org/authors/A5054627290) · [231 works](https://openalex.org/works?filter=author.id:A5054627290) — 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=Judith+Degen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Judith+Degen) · [dblp](https://dblp.org/search?q=Judith+Degen) · [ACL Anthology](https://aclanthology.org/search/?q=Judith+Degen) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Judith+Degen)

Topics: [Implicature](https://md.mova.elamur.ai/free/en/docs/papers/topics/implicature/) 1

## Papers

1. **[Expectations over Unspoken Alternatives Predict Pragmatic Inferences](https://md.mova.elamur.ai/free/en/docs/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)** *(2023)* Scalar inferences ("some" implies "not all") vary a lot from one instance to another, and across scales such as "good, excellent".
2. **[Predicting scalar inferences from "or" to "not both" using neural sentence encoders](https://md.mova.elamur.ai/free/en/docs/papers/li-2021-predicting-scalar-inferences-or-not/)** *(2021)* A short paper extending the «some → not all» strength studies (Degen 2015; Schuster et al. 2020) to «or → not both». 1,244 Switchboard sentences with or were rated, in context, for how close they are to the same sentence with «but not both» added, on a slider and on a 1–7 scale. Strength varies widely and individual…
3. **[Harnessing the linguistic signal to predict scalar inferences](https://md.mova.elamur.ai/free/en/docs/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/)** *(2020)* The paper asks whether a neural sentence encoder can predict how strongly listeners draw the «not all» inference from an utterance with some.
4. **[Evaluative adjective sentences: A question-based analysis of projection](https://md.mova.elamur.ai/free/en/docs/papers/tonhauser-2020-evaluative-adjective-sentences-question-based/)** *(2020)* In "Kim was smart to watch the movie", the prejacent (Kim watched the movie) is usually analysed as a lexical presupposition.
5. **[Investigating the distribution of some (but not all) implicatures using corpora and web-based methods](https://md.mova.elamur.ai/free/en/docs/papers/degen-2015-investigating-distribution-some-but-not/)** *(2015)* The paper tests the textbook view that «some → not all» is a generalized implicature that arises by default, uniformly, regardless of context.

## Co-authors (7)

- [Sebastian Schuster](https://md.mova.elamur.ai/free/en/docs/papers/authors/sebastian-schuster/) ×3
- Elissa Li
- [Jennifer Hu](https://md.mova.elamur.ai/free/en/docs/papers/authors/jennifer-hu/)
- [Judith Tonhauser](https://md.mova.elamur.ai/free/en/docs/papers/authors/judith-tonhauser/)
- [Marie-Catherine de Marneffe](https://md.mova.elamur.ai/free/en/docs/papers/authors/marie-catherine-de-marneffe/)
- [Roger Levy](https://md.mova.elamur.ai/free/en/docs/papers/authors/roger-levy/)
- Yuxing Chen
- [← previous Juan Antonio Pérez-Ortiz](https://md.mova.elamur.ai/free/en/docs/papers/authors/juan-antonio-perez-ortiz/)
- [next → Judith Tonhauser](https://md.mova.elamur.ai/free/en/docs/papers/authors/judith-tonhauser/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)