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# Annemarie Friedrich

4 paper cards in Mova's library · 2017–2021

Annemarie Friedrich wrote 4 of the papers Mova reads, in 2017–2021, most of them on [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/), [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/); often with [Stefan Grünewald](https://md.mova.elamur.ai/free/en/docs/papers/authors/stefan-grunewald/), Alexander Fraser, Anita Ramm.

[OpenAlex](https://openalex.org/A5029262106) · [**h-index 13**](https://openalex.org/authors/A5029262106) · [725 citations](https://openalex.org/authors/A5029262106) · [83 works](https://openalex.org/works?filter=author.id:A5029262106) — 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=Annemarie+Friedrich) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Annemarie+Friedrich) · [dblp](https://dblp.org/search?q=Annemarie+Friedrich) · [ACL Anthology](https://aclanthology.org/search/?q=Annemarie+Friedrich) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Annemarie+Friedrich)

Topics: [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/) 3 · [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1

## Papers

1. **[Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary](https://md.mova.elamur.ai/free/en/docs/papers/grunewald-2021-applying-occam-s-razor-transformer/)** *(2021)* `measured` Modern graph-based dependency parsers for Universal Dependencies rely on transformer embeddings but differ in several design choices: which pretrained model to use, whether to add LSTM layers, and whether to train jointly on POS and morphology.
2. **[Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling](https://md.mova.elamur.ai/free/en/docs/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/)** *(2021)* In Enhanced UD, coordination is represented by propagating the first conjunct's relations (its head and its dependents) to the other conjuncts.
3. **[RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-grunewald-robertnlp-iwpt-2020-shared-task/)** *(2020)* RobertNLP builds enhanced UD graphs directly, without a basic tree first. A biaffine classifier over fine-tuned RoBERTa embeddings scores every ordered pair of tokens with a label or with "no relation". Labels that carry words (such as obl:instead_of) are replaced by placeholders, for example obl:[case], which cuts…
4. **[Annotating tense, mood and voice for English, French and German](https://md.mova.elamur.ai/free/en/docs/papers/ramm-2017-annotating-tense-mood-voice-english/)** *(2017)* The paper presents an open-source rule tool that labels each verbal complex (finite and non-finite verb groups) with tense, mood and voice, for English, French and German.

## Co-authors (6)

- [Stefan Grünewald](https://md.mova.elamur.ai/free/en/docs/papers/authors/stefan-grunewald/) ×3
- Alexander Fraser
- Anita Ramm
- [Jonas Kuhn](https://md.mova.elamur.ai/free/en/docs/papers/authors/jonas-kuhn/)
- Prisca Piccirilli
- [Sharid Loáiciga](https://md.mova.elamur.ai/free/en/docs/papers/authors/sharid-loaiciga/)
- [← previous Anne Breitbarth](https://md.mova.elamur.ai/free/en/docs/papers/authors/anne-breitbarth/)
- [next → Annie Louis](https://md.mova.elamur.ai/free/en/docs/papers/authors/annie-louis/)
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