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, Dependency parsing; often with Stefan Grünewald, Alexander Fraser, Anita Ramm.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary (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.
Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling (2021)
In Enhanced UD, coordination is represented by propagating the first conjunct's relations (its head and its dependents) to the other conjuncts.
RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English (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…
Annotating tense, mood and voice for English, French and German (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.