--- title: "Rob van der Goot — papers and cards" description: "Rob van der Goot: 2 paper cards in the Research library (2016–2020), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/rob-van-der-goot/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rob-van-der-goot/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Rob van der Goot # Rob van der Goot 2 paper cards in the Research 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.research.elamur.ai/free/en/topics/dependency-parsing/), [Treebanks](https://md.research.elamur.ai/free/en/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) · [856 citations](https://openalex.org/authors/A5039811894) · [97 works](https://openalex.org/works?filter=author.id:A5039811894) — 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=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.research.elamur.ai/free/en/topics/dependency-parsing/) 1 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 ## Papers 1. **[Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?](https://md.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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 ## More papers in the library (1) Pages of the Research library: our summary, the ideas, references and who cites each. - [Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/) — Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al. · 2021