[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/stephan-oepen/) [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/) / Stephan Oepen # Stephan Oepen 10 paper cards in Mova's library · 2002–2020 Stephan Oepen wrote 10 of the papers Mova reads, in 2002–2020, most of them on [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/), [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/); often with [Dan Flickinger](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-flickinger/), [Jan Tore Lønning](https://md.mova.elamur.ai/free/en/docs/papers/authors/jan-tore-lonning/), [Helge Dyvik](https://md.mova.elamur.ai/free/en/docs/papers/authors/helge-dyvik/). [OpenAlex](https://openalex.org/A5058412010) · [**h-index 36**](https://openalex.org/authors/A5058412010) · [3610 citations](https://openalex.org/authors/A5058412010) · [234 works](https://openalex.org/works?filter=author.id:A5058412010) — 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=Stephan+Oepen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Stephan+Oepen) · [dblp](https://dblp.org/search?q=Stephan+Oepen) · [ACL Anthology](https://aclanthology.org/search/?q=Stephan+Oepen) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Stephan+Oepen) Topics: [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 2 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 2 · [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 1 · [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 ## Papers 1. **[DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs](https://md.mova.elamur.ai/free/en/docs/papers/abzianidze-2020-drs-mrp-2020-dressing-up/)** *(2020)* DRSs are nested boxes, but the 2020 shared task needed directed labelled graphs, so the authors describe how a DRS can be turned into a graph. 2. **[The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-fares-2018-shared-task-extrinsic-parser/)** *(2018)* The Second Extrinsic Parser Evaluation (EPE 2018) runs the basic UD trees of the English parsers of seventeen participating teams through three downstream systems: biological event extraction (TEES), negation resolution (Sherlock) and opinion analysis. 3. **[Sentence Boundary Detection: A Long Solved Problem?](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-read-sentence-boundary-detection-long-solved/)** *(2012)* The authors review sentence boundary detection (SBD) for English and find that results are hard to compare. 4. **[Tokenization: Returning to a Long Solved Problem – A Survey, Contrastive Experiment, Recommendations, and Toolkit](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-dridan-tokenization-returning-long-solved-problem/)** *(2012)* The authors ask how far Penn Treebank (PTB) style tokenization can be reproduced by rules, and why earlier tools differ from it. 5. **[Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2011-bender-parser-evaluation-over-local-non/)** *(2011)* The authors ask how well parsers recover the dependencies that matter for interpretation. They take ten linguistic phenomena that are reasonably frequent in running text, such as tough adjectives, right-node raising, expletive it, particle verbs, bare relatives and absolutives, and sample 100 sentences each from… 6. **[Discriminant-Based MRS Banking](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2006-oepen-discriminant-based-mrs-banking/)** *(2006)* The paper describes how to build a corpus in which every sentence is paired with a meaning representation (MRS). 7. **[SEM-I Rational MT: Enriching Deep Grammars with a Semantic Interface for Scalable Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/flickinger-2005-sem-i-rational-mt-enriching/)** *(2005)* The paper describes the LOGON system, which translates Norwegian to English using minimal recursion semantics in a transfer module, with two existing broad-coverage deep grammars. 8. **[Holistic Regression Testing for High-Quality MT: Some Methodological and Technological Reflections](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2005-oepen-holistic-regression-testing-high-quality/)** *(2005)* The LOGON project, a Norwegian-English MT system for tourism texts, uses regression testing as its main quality measure. 9. **[LinGO Redwoods: A Rich and Dynamic Treebank for HPSG](https://md.mova.elamur.ai/free/en/docs/papers/enprag-2004-oepen-lingo-redwoods-rich-dynamic-treebank/)** *(2004)* Not read: this card is written from what is reliably known about the paper, and every idea is marked to check against the text. 10. **[The LinGO Redwoods Treebank: Motivation and Preliminary Applications](https://md.mova.elamur.ai/free/en/docs/papers/bank-2002-oepen-lingo-redwoods-treebank-motivation-preliminary/)** *(2002)* The paper proposes a treebank that stores full HPSG analyses from a broad-coverage grammar (the LinGO English Resource Grammar) instead of one fixed tree format, so that users can extract the representation they need. ## Co-authors (22) - [Dan Flickinger](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-flickinger/) ×5 - [Jan Tore Lønning](https://md.mova.elamur.ai/free/en/docs/papers/authors/jan-tore-lonning/) ×3 - [Helge Dyvik](https://md.mova.elamur.ai/free/en/docs/papers/authors/helge-dyvik/) ×2 - [Kristina Toutanova](https://md.mova.elamur.ai/free/en/docs/papers/authors/kristina-toutanova/) ×2 - [Rebecca Dridan](https://md.mova.elamur.ai/free/en/docs/papers/authors/rebecca-dridan/) ×2 - [Christopher D. Manning](https://md.mova.elamur.ai/free/en/docs/papers/authors/christopher-d-manning/) - [Christopher Manning](https://md.mova.elamur.ai/free/en/docs/papers/authors/christopher-manning/) - [Emily M. Bender](https://md.mova.elamur.ai/free/en/docs/papers/authors/emily-m-bender/) - [Francis Bond](https://md.mova.elamur.ai/free/en/docs/papers/authors/francis-bond/) - Jari Björne - [Johan Bos](https://md.mova.elamur.ai/free/en/docs/papers/authors/johan-bos/) - Jonathon Read - Lars Jørgen Solberg - [Lasha Abzianidze](https://md.mova.elamur.ai/free/en/docs/papers/authors/lasha-abzianidze/) - Lilja Øvrelid - Murhaf Fares - Paul Meurer - [Richard Johansson](https://md.mova.elamur.ai/free/en/docs/papers/authors/richard-johansson/) - [Stuart Shieber](https://md.mova.elamur.ai/free/en/docs/papers/authors/stuart-shieber/) - [Thorsten Brants](https://md.mova.elamur.ai/free/en/docs/papers/authors/thorsten-brants/) - [Victoria Rosén](https://md.mova.elamur.ai/free/en/docs/papers/authors/victoria-rosen/) - [Yi Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/yi-zhang/) - [← previous Stefanie Dipper](https://md.mova.elamur.ai/free/en/docs/papers/authors/stefanie-dipper/) - [next → Stephan Vogel](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephan-vogel/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)