--- title: "Leo Wanner — papers and cards" description: "Leo Wanner: 6 paper cards in the Research library (2010–2025), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/leo-wanner/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/leo-wanner/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Leo Wanner # Leo Wanner 6 paper cards in the Research library · 2010–2025 Leo Wanner wrote 6 of the papers Mova reads, in 2010–2025, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/), [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/); often with [Bernd Bohnet](https://md.research.elamur.ai/free/en/authors/bernd-bohnet/), [Simon Mille](https://md.research.elamur.ai/free/en/authors/simon-mille/), [Alicia Burga](https://md.research.elamur.ai/free/en/authors/alicia-burga/). [OpenAlex](https://openalex.org/A5087323271) · [ORCID](https://orcid.org/0000-0002-9446-3748) · [**h-index 27**](https://openalex.org/authors/A5087323271) · [2955 citations](https://openalex.org/authors/A5087323271) · [246 works](https://openalex.org/works?filter=author.id:A5087323271) — openalex-snapshot, 2026-10-14 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=Leo+Wanner) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Leo+Wanner) · [dblp](https://dblp.org/search?q=Leo+Wanner) · [ACL Anthology](https://aclanthology.org/search/?q=Leo+Wanner) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Leo+Wanner) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 4 · [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 1 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 ## Papers 1. **[Assessing the Agreement Competence of Large Language Models](https://md.research.elamur.ai/free/en/papers/garcia-2025-assessing-agreement-competence-large-language/)** *(2025)* Agreement is a common probe for whether a language model has learned hierarchical sentence structure rather than surface word order. 2. **[The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results](https://md.research.elamur.ai/free/en/papers/mille-2020-third-multilingual-surface-realisation-shared/)** *(2020)* The third edition of the surface realisation task keeps the two tracks of the earlier editions: a shallow track with unordered lemmatised UD trees, and a deep track that also removes function words and morphology. 3. **[The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation Results](https://md.research.elamur.ai/free/en/papers/mille-2018-first-multilingual-surface-realisation-shared/)** *(2018)* The report presents the first multilingual shared task on surface realisation, the step that turns an unordered dependency tree into a sentence. 4. **[Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation](https://md.research.elamur.ai/free/en/papers/mille-2018-underspecified-universal-dependency-structures-as/)** *(2018)* The paper describes how the input data of the SR'18 task were derived from UD v2.0 treebanks. The shallow inputs are made by removing word order and lemmatising tokens, which is a set of replacement rules. The deep inputs are harder to make. Auxiliaries, functional prepositions and conjunctions are removed, and… 5. **[Towards the Annotation of Penn TreeBank with Information Structure](https://md.research.elamur.ai/free/en/papers/bohnet-2013-annotation-penn-treebank-information-structure/)** *(2013)* Information structure (here the thematicity part of Meaning-Text Theory's communicative structure: Specifier, Theme, Rheme, nested) is missing from the big English treebanks. 6. **[Broad Coverage Multilingual Deep Sentence Generation with a Stochastic Multi-Level Realizer](https://md.research.elamur.ai/free/en/papers/bohnet-2010-broad-coverage-multilingual-deep-sentence/)** *(2010)* The paper describes a multilingual generator that starts from deep, predicate-argument-like structures and produces sentences in several languages. ## Co-authors (9) - [Bernd Bohnet](https://md.research.elamur.ai/free/en/authors/bernd-bohnet/) ×5 - [Simon Mille](https://md.research.elamur.ai/free/en/authors/simon-mille/) ×4 - [Alicia Burga](https://md.research.elamur.ai/free/en/authors/alicia-burga/) ×2 - [Anja Belz](https://md.research.elamur.ai/free/en/authors/anja-belz/) ×2 - [Yvette Graham](https://md.research.elamur.ai/free/en/authors/yvette-graham/) ×2 - Alba Táboas García - Anya Belz - [Emily Pitler](https://md.research.elamur.ai/free/en/authors/emily-pitler/) - [Thiago Castro Ferreira](https://md.research.elamur.ai/free/en/authors/thiago-castro-ferreira/) ## More papers in the library (1) Pages of the Research library: our summary, the ideas, references and who cites each. - [Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets](https://md.research.elamur.ai/free/en/papers/fortuna-2020-toxic-hateful-offensive-or-abusive/) — Paula Fortuna, Juan Soler, Leo Wanner · 2020