[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/shira-wein/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Shira Wein # Shira Wein 7 paper cards in Mova's library · 2020–2025 Shira Wein wrote 7 of the papers Mova reads, in 2020–2025, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/), [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/); often with [Nathan Schneider](https://md.mova.elamur.ai/free/en/docs/papers/authors/nathan-schneider/), [Alexis Palmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/alexis-palmer/), [Andrew Cowell](https://md.mova.elamur.ai/free/en/docs/papers/authors/andrew-cowell/). [OpenAlex](https://openalex.org/A5075058724) · [ORCID](https://orcid.org/0000-0002-1062-0866) · [**h-index 6**](https://openalex.org/authors/A5075058724) · [80 citations](https://openalex.org/authors/A5075058724) · [54 works](https://openalex.org/works?filter=author.id:A5075058724) — 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=Shira+Wein) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shira+Wein) · [dblp](https://dblp.org/search?q=Shira+Wein) · [ACL Anthology](https://aclanthology.org/search/?q=Shira+Wein) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Shira+Wein) Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 6 · [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1 ## Papers 1. **[Generating Text from Uniform Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/markle-2025-generating-text-uniform-meaning-representation/)** *(2025)* UMR is a successor of AMR with document-level information, aspect, modality and coreference, across several languages. 2. **[The Role of PropBank Sense IDs in AMR-to-text Generation and Text-to-AMR Parsing](https://md.mova.elamur.ai/free/en/docs/papers/hoang-2025-role-propbank-sense-ids-amr/)** *(2025)* The paper asks how much the PropBank sense IDs in AMR (the suffixes such as -01) help generation, and how accurately parsers produce them. 3. **[Assessing the Cross-linguistic Utility of Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-assessing-cross-linguistic-utility-abstract/)** *(2024)* The article tests whether AMR, which was built for English, can serve as a cross-lingual meaning representation. 4. **[Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-lost-translationese-reducing-translation-effect/)** *(2024)* Translated English has statistical habits that original English lacks, which the field calls translationese. 5. **[Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2023-measuring-fine-grained-semantic-equivalence/)** *(2023)* Sentence-level judgments of cross-lingual divergence miss small meaning differences. The paper parses both sides of a parallel sentence pair into AMR, aligns their words with fast_align, translates the concept and role labels into English, and runs Smatch. A score of 1 means the two graphs are the same, and any other… 6. **[UMR Annotation of Multiword Expressions](https://md.mova.elamur.ai/free/en/docs/papers/bonn-2023-umr-annotation-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… 7. **[A Human Evaluation of AMR-to-English Generation Systems](https://md.mova.elamur.ai/free/en/docs/papers/manning-2020-human-evaluation-amr-english-generation/)** *(2020)* Most AMR-to-English systems had been scored only with automatic metrics such as BLEU. The paper runs a new human evaluation of five systems on 100 sentences per system, with 100 human references for comparison. Annotators gave fluency scores (without the input) and adequacy scores (with the AMR), each on a 0–100… ## Co-authors (17) - [Nathan Schneider](https://md.mova.elamur.ai/free/en/docs/papers/authors/nathan-schneider/) ×4 - [Alexis Palmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/alexis-palmer/) - [Andrew Cowell](https://md.mova.elamur.ai/free/en/docs/papers/authors/andrew-cowell/) - [Emma Manning](https://md.mova.elamur.ai/free/en/docs/papers/authors/emma-manning/) - Emma Markle - Haibo Sun - [James Pustejovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-pustejovsky/) - [Jan Hajič](https://md.mova.elamur.ai/free/en/docs/papers/authors/jan-hajic/) - [Jin Zhao](https://md.mova.elamur.ai/free/en/docs/papers/authors/jin-zhao/) - [Julia Bonn](https://md.mova.elamur.ai/free/en/docs/papers/authors/julia-bonn/) - [Martha Palmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/martha-palmer/) - Mina Yang - [Nianwen Xue](https://md.mova.elamur.ai/free/en/docs/papers/authors/nianwen-xue/) - Reihaneh Iranmanesh - Thu Hoang - [Zdenka Uresova](https://md.mova.elamur.ai/free/en/docs/papers/authors/zdenka-uresova/) - Zhuxin Wang - [← previous Shereen Oraby](https://md.mova.elamur.ai/free/en/docs/papers/authors/shereen-oraby/) - [next → Shlomo Yona](https://md.mova.elamur.ai/free/en/docs/papers/authors/shlomo-yona/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)