Mova0.5 pre-release⌕
☰
home / 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, Machine translation, Discourse analysis; often with Dan Flickinger, Jan Tore Lønning, Helge Dyvik.

OpenAlex · h-index 36 · 3610 citations · 234 works — 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 · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Treebanks 2 · Machine translation 2 · Discourse analysis 1 · Dependency parsing 1

Papers

  1. DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs (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 (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? (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 (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 (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 (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 (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 (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 (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 (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)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/stephan-oepen/