Commit Graph

2 Commits

Author SHA1 Message Date
Marcel
824f048640 fix(nlp-service): eliminate false-positive person matches from dirty DB records
- Wire _EXTRA_SPAN_STOPS into _extract_persons_and_role so German function
  words (im, seine, ihre, dem, …) terminate name spans — fixes "Clara im"
  and "seine Kinder" leaking into personNames
- Add _NON_NAME_TOKENS filter in PersonMatcher.load() to skip DB records
  whose first_name contains prepositions or possessives — filters 290 bad
  records (annotations like "an seine Eltern", "Eltern in", place references
  like "Enkel Cram aus Mexiko") that were causing exact Pass-2 matches
- Remove spaCy model downloads from Dockerfile (no longer needed after the
  DB-backed matcher rewrite)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-07 11:09:35 +02:00
Marcel
6c5cf8ec9b feat(nlp-service): replace spaCy NER with DB-backed PersonMatcher
Rule-based pipeline: persons matched via rapidfuzz against all known
names loaded from DB at startup. Fixes first-name-only extraction
(Eugenie, Herbert), merged-span bug (Herbert + Eugenie de Gruyter),
false positives on compound nouns, and EN/ES model failures.
Date extraction unchanged (regex). No spaCy models required.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-07 11:00:03 +02:00