Alexis Palmer

4 paper cards in Mova's library · 2023–2025

Alexis Palmer wrote 4 of the papers Mova reads, in 2023–2025, most of them on Machine translation, Dependency parsing, Universal Dependencies; often with Andrew Cowell, James Pustejovsky, Jan Hajič.

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

Papers

LLM Dependency Parsing with In-Context Rules (2025)
The paper tests whether explicit symbolic rules in the prompt help large language models do dependency parsing for low-resource languages, where there is too little annotated data to train a classic neural parser.
Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation (2025)
UMR annotation is slow, so the paper converts Universal Dependencies trees into partial UMR graphs that annotators then correct.
Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility (2023)
A reference paper that lists how AMR structures map onto UMR, the typologically motivated successor to AMR.
UMR Annotation of Multiword Expressions (2023)
This is a guideline paper. It runs no experiment and reports no counts. UMR, which is based on AMR, maps words to concepts. The authors define a multiword expression (MWE) operationally: several words that together form one concept. They sort MWEs into three groups. Fixed MWEs are unmodifiable word sequences, such as…