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, Machine translation; often with Florian Petran, Heike Zinsmeister, Marcel Bollmann.

The profile is the library's match of the name; two people with one name are not always told apart.

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… · 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… · 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…)

Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey (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).
Evaluating Inter-Annotator Agreement on Historical Spelling Normalization (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.
The Use of Parallel and Comparable Data for Analysis of Abstract Anaphora in German and English (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.
Rule-Based Normalization of Historical Texts (2011)
The paper normalizes Early New High German spelling to modern forms using only unsupervised learning and freely available resources.