--- title: "Christian Hardmeier — papers and cards" description: "Christian Hardmeier: 2 paper cards in the Research library (2016–2017), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/christian-hardmeier/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/christian-hardmeier/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Christian Hardmeier # Christian Hardmeier 2 paper cards in the Research library · 2016–2017 Christian Hardmeier wrote 2 of the papers Mova reads, in 2016–2017, most of them on [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/), [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/), [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/); often with [Liane Guillou](https://md.research.elamur.ai/free/en/authors/liane-guillou/), [Sharid Loáiciga](https://md.research.elamur.ai/free/en/authors/sharid-loaiciga/). [OpenAlex](https://openalex.org/A5042862432) · [ORCID](https://orcid.org/0000-0002-6103-7275) · [**h-index 20**](https://openalex.org/authors/A5042862432) · [1427 citations](https://openalex.org/authors/A5042862432) · [109 works](https://openalex.org/works?filter=author.id:A5042862432) — 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=Christian+Hardmeier) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Christian+Hardmeier) · [dblp](https://dblp.org/search?q=Christian+Hardmeier) · [ACL Anthology](https://aclanthology.org/search/?q=Christian+Hardmeier) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Christian+Hardmeier) Topics: [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 1 · [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 1 ## Ideas Mova took (1) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **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…](https://md.research.elamur.ai/free/en/papers/loaiciga-2017-what-is-it-disambiguating-different/) · 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 1. **[What is it? Disambiguating the different readings of the pronoun 'it'](https://md.research.elamur.ai/free/en/papers/loaiciga-2017-what-is-it-disambiguating-different/)** *(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%… 2. **[A Neural Model for Part-of-Speech Tagging in Historical Texts](https://md.research.elamur.ai/free/en/papers/hardmeier-2016-neural-model-part-speech-tagging/)** *(2016)* Historical texts differ from modern ones in spelling, morphology and syntax, so taggers trained on modern text fail on them. ## Co-authors (2) - [Liane Guillou](https://md.research.elamur.ai/free/en/authors/liane-guillou/) - [Sharid Loáiciga](https://md.research.elamur.ai/free/en/authors/sharid-loaiciga/) ## More papers in the library (8) Pages of the Research library: our summary, the ideas, references and who cites each. - [Unpacking Ambiguous Structure: A Dataset for Ambiguous Implicit Discourse Relations for English and Egyptian Arabic](https://md.research.elamur.ai/free/en/papers/ruby-2023-unpacking-ambiguous-structure-dataset-ambiguous/) — Ahmed Ruby, Sara Stymne, Christian Hardmeier · 2023 - [ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference](https://md.research.elamur.ai/free/en/papers/koltunski-2022-parcorfull2-0-parallel-corpus-annotated/) — Ekaterina Lapshinova-Koltunski, Pedro Augusto Ferreira, Elina Lartaud, et al. · 2022 - [Getting Gender Right in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2018-getting-gender-right-neural-machine/) — Eva Vanmassenhove, Christian Hardmeier, Andy Way · 2018 - [ParCorFull: a Parallel Corpus Annotated with Full Coreference](https://md.research.elamur.ai/free/en/papers/koltunski-2018-parcorfull-parallel-corpus-annotated-full/) — Ekaterina Lapshinova-Koltunski, Christian Hardmeier, Pauline Krielke · 2018 - [Anaphora Models and Reordering for Phrase-Based SMT](https://md.research.elamur.ai/free/en/papers/hardmeier-2014-anaphora-models-reordering-phrase-based/) — Christian Hardmeier, Sara Stymne, Jörg Tiedemann, et al. · 2014 - [ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT](https://md.research.elamur.ai/free/en/papers/guillou-2014-parcor-1-0-parallel-pronoun/) — Liane Guillou, Christian Hardmeier, Aaron Smith, et al. · 2014 - [Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction](https://md.research.elamur.ai/free/en/papers/hardmeier-2013-latent-anaphora-resolution-cross-lingual/) — Christian Hardmeier, Jörg Tiedemann, Joakim Nivre · 2013 - [Modelling pronominal anaphora in statistical machine translation](https://md.research.elamur.ai/free/en/papers/hardmeier-2010-modelling-pronominal-anaphora-statistical-machine/) — Christian Hardmeier, Marcello Federico · 2010