An Approach to Proper Name Tagging for German

Christine Thielen (SfS; University of T"ubingen)

An Approach to Proper Name Tagging for German

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv cmp-lg/9506024 v2 pith:FH75GVWN submitted 1995-06-28 cmp-lg cs.CL

Christine Thielen (SfS , University of T"ubingen) This is my paper

classification cmp-lgcs.CL

keywords propernamesgermantagginganalysisappliedcontextscorpus

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

read the original abstract

This paper presents an incremental method for the tagging of proper names in German newspaper texts. The tagging is performed by the analysis of the syntactic and textual contexts of proper names together with a morphological analysis. The proper names selected by this process supply new contexts which can be used for finding new proper names, and so on. This procedure was applied to a small German corpus (50,000 words) and correctly disambiguated 65% of the capitalized words, which should improve when it is applied to a very large corpus.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

DiffLens: A Visualization System to Explore Local Differences in Graph Sampling
cs.HC 2026-07 conditional novelty 6.5 of 10

DiffLens quantifies neighbor-, path-, and structure-based local sampling differences and visualizes them with interactive lenses so users can diagnose and compare graph sampling strategies.

Pith tools