[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/annie-zaenen/) [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/) / Annie Zaenen # Annie Zaenen 3 paper cards in Mova's library · 1989–2019 Annie Zaenen wrote 3 of the papers Mova reads, in 1989–2019, most of them on [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [James Gung](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-gung/), [James Pustejovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-pustejovsky/), [Julia Bonn](https://md.mova.elamur.ai/free/en/docs/papers/authors/julia-bonn/). [OpenAlex](https://openalex.org/A5026833137) · [**h-index 25**](https://openalex.org/authors/A5026833137) · [3821 citations](https://openalex.org/authors/A5026833137) · [122 works](https://openalex.org/works?filter=author.id:A5026833137) — 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=Annie+Zaenen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Annie+Zaenen) · [dblp](https://dblp.org/search?q=Annie+Zaenen) · [ACL Anthology](https://aclanthology.org/search/?q=Annie+Zaenen) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Annie+Zaenen) Topics: [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1 ## Ideas Mova took (2) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **measured, no gain** — Turn the semantic predicates already stored in prag/data/verbnet.tsv (the frame rows carry has_possession !has_possession transfer cause …, but nothing reads them) into derived state facts for the student: after a transfer frame, the recipient has the theme… *([VerbNet Representations: Subevent Semantics for Transfer…](https://md.mova.elamur.ai/free/en/docs/papers/brown-2019-verbnet-representations-subevent-semantics-transfer/) · result states from VerbNet predicates (possession after transfer, location after motion) remembered as Fact frames: courses 7704/2206→7698/2203; possession…)* - **measured, no gain** — Irrealis for future-having classes (promise, offer, owe): their transfer did not happen yet, so no possession fact is derived. A negative control for I1: «The king promised the miller gold» must not yield «the miller has gold». *([VerbNet Representations: Subevent Semantics for Transfer…](https://md.mova.elamur.ai/free/en/docs/papers/brown-2019-verbnet-representations-subevent-semantics-transfer/) · no states from classes whose predicates say irrealis (promise, offer) — part of I1, dropped with it)* ## Papers 1. **[VerbNet Representations: Subevent Semantics for Transfer Verbs](https://md.mova.elamur.ai/free/en/docs/papers/brown-2019-verbnet-representations-subevent-semantics-transfer/)** *(2019)* The paper presents VerbNet's revised semantic representations, shown on the 37 classes (810 verbs) of change of possession and transfer of information. 2. **[Veridicity annotation in the lexicon? A look at factive adjectives](https://md.mova.elamur.ai/free/en/docs/papers/zaenen-2013-veridicity-annotation-lexicon-look-factive/)** *(2013)* A short note on veridicity: whether a sentence commits the author to the truth of an embedded event. Factive adjectives such as "lucky" or "brave" are listed as factive in the lexicon, but the authors show that their factivity depends on more than the adjective and its frame. Roughly 800 adjectives take the… 3. **[Translation by Structural Correspondences](https://md.mova.elamur.ai/free/en/docs/papers/kaplan-1989-translation-structural-correspondences/)** *(1989)* The paper proposes machine translation without a transfer program. The source and target sentences are described by LFG structures at several levels (constituent, functional, semantic), and the translation is a set of correspondence functions between those structures. The functions are written as equations, so the… ## Co-authors (9) - [James Gung](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-gung/) - [James Pustejovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-pustejovsky/) - [Julia Bonn](https://md.mova.elamur.ai/free/en/docs/papers/authors/julia-bonn/) - Jurgen Wedekind - Klaus Netter - [Lauri Karttunen](https://md.mova.elamur.ai/free/en/docs/papers/authors/lauri-karttunen/) - [Martha Palmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/martha-palmer/) - Ronald M. Kaplan - [Susan Windisch Brown](https://md.mova.elamur.ai/free/en/docs/papers/authors/susan-windisch-brown/) - [← previous Annie Louis](https://md.mova.elamur.ai/free/en/docs/papers/authors/annie-louis/) - [next → Anoop Kumar](https://md.mova.elamur.ai/free/en/docs/papers/authors/anoop-kumar/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)