Hinrich Schütze
Hinrich Schütze wrote 2 of the papers Mova reads, in 2007–2019; often with Martin Schmitt, Michaela Atterer.
OpenAlex · ORCID · h-index 65 · 51702 citations · 501 works — openalex, 2026-10-18
Ideas Mova took (2)
- kept — en parse-eval: report PP attachment accuracy taken from the predicted tree, not from gold (v, n1, p, n2) tuples, next to LAS on UD EWT test. Count the PP cases the parser misses as a separate number. (Prepositional Phrase Attachment without Oracles · PP attachment from the predicted tree in en parse-diag: 1615 dev PPs, 190 missed; commit 35e51ff1b)
- kept — Report three figures for every PP score, as the paper does: missed cases counted as errors, missed cases given the noun attachment, and missed cases discarded. A score that rises only when cases are discarded must not pass the gate. (Prepositional Phrase Attachment without Oracles · three figures, EWT dev: missed = error 72.20, missed -> noun 77.65, discarded 81.82; commit 35e51ff1b)
Papers
- SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference (2019)
SherLIiC is a benchmark for lexical inference in context. Each item is a candidate rule, "A is granting to B" implies "A is giving to B", where A and B are typed argument slots such as ORGANIZATION FOUNDER and EMPLOYER. The relations come from verbal paths between Freebase entities in the ClueWeb09 web corpus… - Prepositional Phrase Attachment without Oracles (2007)
2 ideas kept
Most PP attachment work gives the classifier the two candidate heads from gold parse trees, which the authors call an oracle.
Co-authors (2)
- Martin Schmitt
- Michaela Atterer
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/hinrich-schutze/