[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/stefanie-dipper/) [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/) / Stefanie Dipper # Stefanie Dipper 4 paper cards in Mova's library · 2011–2018 Stefanie Dipper wrote 4 of the papers Mova reads, in 2011–2018, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Florian Petran](https://md.mova.elamur.ai/free/en/docs/papers/authors/florian-petran/), [Heike Zinsmeister](https://md.mova.elamur.ai/free/en/docs/papers/authors/heike-zinsmeister/), [Marcel Bollmann](https://md.mova.elamur.ai/free/en/docs/papers/authors/marcel-bollmann/). [OpenAlex](https://openalex.org/A5063444213) · [ORCID](https://orcid.org/0000-0003-4357-9078) · [**h-index 18**](https://openalex.org/authors/A5063444213) · [1113 citations](https://openalex.org/authors/A5063444213) · [146 works](https://openalex.org/works?filter=author.id:A5063444213) — 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=Stefanie+Dipper) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Stefanie+Dipper) · [dblp](https://dblp.org/search?q=Stefanie+Dipper) · [ACL Anthology](https://aclanthology.org/search/?q=Stefanie+Dipper) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Stefanie+Dipper) Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 2 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1 ## Ideas Mova took (2) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **kept** — Implement Eckert and Strube's context test as the switch in front of the pronoun sieves for it, this, that: an I-incompatible predicate (be true/false/right/wrong/why/the reason/a pity/the problem, happen, mean, object of believe/know/say/forget) sends the… *([Anaphora With Non-nominal Antecedents in Computational…](https://md.mova.elamur.ai/free/en/docs/papers/kolhatkar-2018-survey-anaphora-non-nominal-antecedents/) · the context test (event subjects: happen, mean, be true/a mistake…) in coref/src/it.rs (2bb818bf8); «it» as object of know/say as an event dropped (−0.02 CoNLL))* - **measured, no gain** — Keep an abstract-referent list next to the entity list, with the survey's search order: the clause to the left in the same sentence, then the rightmost main clause of the previous sentence (and a subordinate clause to its right), then earlier main clauses. *([Anaphora With Non-nominal Antecedents in Computational…](https://md.mova.elamur.ai/free/en/docs/papers/kolhatkar-2018-survey-anaphora-non-nominal-antecedents/) · search order for the clause antecedent used by the deixis sieve (left clause, then previous main clause): 12% precision on GUM dev, −0.8 CoNLL with…)* ## Papers 1. **[Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey](https://md.mova.elamur.ai/free/en/docs/papers/kolhatkar-2018-survey-anaphora-non-nominal-antecedents/)** *(2018)* `1 idea kept` A long survey of anaphors whose antecedent is not a noun phrase but a verb phrase, clause, sentence or longer stretch (discourse deixis, abstract anaphora, shell nouns such as this fact, the issue). 2. **[Evaluating Inter-Annotator Agreement on Historical Spelling Normalization](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-bollmann-evaluating-inter-annotator-agreement-historical/)** *(2016)* Normalisation labels are open and sparse, and most tokens are close to their surface form, so the usual agreement measures do not fit the task well. 3. **[The Use of Parallel and Comparable Data for Analysis of Abstract Anaphora in German and English](https://md.mova.elamur.ai/free/en/docs/papers/dipper-2012-use-parallel-comparable-data-analysis/)** *(2012)* Abstract anaphora (a pronoun or a demonstrative noun phrase that refers to an event, fact or proposition) is a training target for anaphora resolution. 4. **[Rule-Based Normalization of Historical Texts](https://md.mova.elamur.ai/free/en/docs/papers/bollmann-2011-rule-based-normalization-historical-texts/)** *(2011)* The paper normalizes Early New High German spelling to modern forms using only unsupervised learning and freely available resources. ## Co-authors (6) - [Florian Petran](https://md.mova.elamur.ai/free/en/docs/papers/authors/florian-petran/) ×2 - [Heike Zinsmeister](https://md.mova.elamur.ai/free/en/docs/papers/authors/heike-zinsmeister/) ×2 - [Marcel Bollmann](https://md.mova.elamur.ai/free/en/docs/papers/authors/marcel-bollmann/) ×2 - Adam Roussel - Melanie Seiss - Varada Kolhatkar - [← previous Stefan Müller](https://md.mova.elamur.ai/free/en/docs/papers/authors/stefan-muller/) - [next → Stephan Oepen](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephan-oepen/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)