Christian Hardmeier
Christian Hardmeier wrote 2 of the papers Mova reads, in 2016–2017, most of them on Coreference resolution, Semantic role labeling, Part-of-speech tagging; often with Liane Guillou, Sharid Loáiciga.
OpenAlex · ORCID · h-index 20 · 1498 citations · 114 works — openalex, 2026-10-18
Topics: Coreference resolution 1 · Semantic role labeling 1 · Part-of-speech tagging 1
Ideas Mova took (1)
- kept — Classify every it three ways before the pronoun sieve runs, with rules from the paper's strongest cues, and let only the anaphoric ones reach nominal antecedents. (What is it? Disambiguating the different readings of the… · coref: «it» pleonastic/event/anaphoric before the pronoun sieve; GUM dev CoNLL gold 75.18/64.30→75.21/64.32, SLM trees 69.70/57.57→69.82/57.66, «it» precision…)
Papers
- What is it? Disambiguating the different readings of the pronoun 'it' (2017)
1 idea kept
English it can be anaphoric to a noun phrase («I have a bicycle. It is red»), event-referring to a verb phrase, clause or sentence («He lost his job. It came as a total surprise»), or pleonastic («It is raining»). Using 2,506 instances of it from the ParCor and DiscoMT corpora (52% anaphoric, 33% event, 15%… - A Neural Model for Part-of-Speech Tagging in Historical Texts (2016)
Historical texts differ from modern ones in spelling, morphology and syntax, so taggers trained on modern text fail on them.
Co-authors (2)
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/christian-hardmeier/