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# Ophélie Lacroix

3 paper cards in Mova's library · 2014–2018

Ophélie Lacroix wrote 3 of the papers Mova reads, in 2014–2018, most of them on [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/), [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/); often with Denis Béchet, [François Yvon](https://md.mova.elamur.ai/free/en/docs/papers/authors/francois-yvon/), [Guillaume Wisniewski](https://md.mova.elamur.ai/free/en/docs/papers/authors/guillaume-wisniewski/).

[OpenAlex](https://openalex.org/A5047568486) · [**h-index 9**](https://openalex.org/authors/A5047568486) · [1107 citations](https://openalex.org/authors/A5047568486) · [33 works](https://openalex.org/works?filter=author.id:A5047568486) — 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=Oph%C3%A9lie+Lacroix) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Oph%C3%A9lie+Lacroix) · [dblp](https://dblp.org/search?q=Oph%C3%A9lie+Lacroix) · [ACL Anthology](https://aclanthology.org/search/?q=Oph%C3%A9lie+Lacroix) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Oph%C3%A9lie+Lacroix)

Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/) 1 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1 · [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 1

## Papers

1. **[Investigating NP-Chunking with Universal Dependencies for English](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-lacroix-investigating-np-chunking-universal-dependencies/)** *(2018)* Chunks are normally taken from constituency trees, but UD has no chunk layer. The paper derives minimal noun-phrase chunks (B-NP, I-NP, O tags) from EWT dependency trees by rules over the core token (noun, proper noun, some pronouns) and its children, excluding prepositional phrases. A manual check of 233 chunks in…
2. **[Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles](https://md.mova.elamur.ai/free/en/docs/papers/bank-2018-wisniewski-automatically-selecting-best-dependency-annotation/)** *(2018)* Several conventions exist for the same dependency structure, for example whether a content word or a function word heads a case marker, a copula, a conjunction or a determiner.
3. **[Validation Issues induced by an Automatic Pre-Annotation Mechanism in the Building of Non-projective Dependency Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/bank-2014-lacroix-validation-issues-induced-automatic-pre/)** *(2014)* The CDG Lab builds dependency treebanks with a grammar-based parser. Before parsing, an annotator fills a long selection form, which is slow. The authors replace it with an automatic pre-annotation mechanism that segments the sentence and proposes lexical units, but this creates new validation problems: some false…

## Co-authors (3)

- Denis Béchet
- [François Yvon](https://md.mova.elamur.ai/free/en/docs/papers/authors/francois-yvon/)
- [Guillaume Wisniewski](https://md.mova.elamur.ai/free/en/docs/papers/authors/guillaume-wisniewski/)
- [← previous Ondrej Prazak](https://md.mova.elamur.ai/free/en/docs/papers/authors/ondrej-prazak/)
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