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# Rob van der Goot

2 paper cards in Mova's library · 2016–2020

Rob van der Goot wrote 2 of the papers Mova reads, in 2016–2020, most of them on [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/); often with Joachim Daiber, Kelly Dekker.

[OpenAlex](https://openalex.org/A5039811894) · [ORCID](https://orcid.org/0009-0003-1999-4156) · [**h-index 17**](https://openalex.org/authors/A5039811894) · [870 citations](https://openalex.org/authors/A5039811894) · [98 works](https://openalex.org/works?filter=author.id:A5039811894) — openalex, 2026-10-19

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=Rob+van+der+Goot) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Rob+van+der+Goot) · [dblp](https://dblp.org/search?q=Rob+van+der+Goot) · [ACL Anthology](https://aclanthology.org/search/?q=Rob+van+der+Goot) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Rob+van+der+Goot)

Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1

## Papers

1. **[Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?](https://md.mova.elamur.ai/free/en/docs/papers/dekker-2020-synthetic-data-english-lexical-normalization/)** *(2020)* Lexical normalisation maps non-standard tweet words to standard ones, and supervised normalisers need annotated data that exists for few languages and domains.
2. **[The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2016-daiber-denoised-web-treebank-evaluating-dependency/)** *(2016)* The authors build a 500-tweet English treebank (250 development, 250 test) with a normalization layer: each tweet keeps its original tokens, and a normalized sentence with word alignments is parsed.

## Co-authors (2)

- Joachim Daiber
- Kelly Dekker
- [← previous Rob Koeling](https://md.mova.elamur.ai/free/en/docs/papers/authors/rob-koeling/)
- [next → Robbie Haertel](https://md.mova.elamur.ai/free/en/docs/papers/authors/robbie-haertel/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
