Travelled to:1 × Japan
5 × USA
Collaborated with:K.Taghva J.Borsack J.S.Coombs S.V.Rice J.Kanai S.E.Lumos R.Pereda A.Condit R.Young L.R.Blando G.Nagy R.Beckley
Talks about:ocr (4) document (3) extract (3) use (3) system (2) inform (2) test (2) understand (1) research (1) knowledg (1)
Person: Thomas A. Nartker
DBLP: Nartker:Thomas_A=
Contributed to:
20072006200520042003
19951993Wrote 8 papers:
- DRR-2007-TaghvaCLBN #documentation #generative
- Title extraction and generation from OCR’d documents (KT, AC, SEL, JB, TAN).
- DRR-2006-TaghvaBCBPN #automation #information management #relational #using
- Automatic redaction of private information using relational information extraction (KT, RB, JSC, JB, RP, TAN).
- DRR-2005-NartkerRL #research #testing #tool support
- Software tools and test data for research and testing of page-reading OCR systems (TAN, SVR, SEL), pp. 37–47.
- DRR-2005-TaghvaCPN #markov #modelling #using
- Address extraction using hidden Markov models (KT, JSC, RP, TAN), pp. 119–126.
- DRR-2004-TaghvaBNCY #proximity
- The impact of running headers and footers on proximity searching (KT, JB, TAN, JSC, RY), pp. 1–5.
- DRR-2003-NartkerTYBC #documentation
- OCR correction based on document level knowledge (TAN, KT, RY, JB, AC), pp. 103–110.
- ICDAR-v1-1995-BlandoKN #image #predict #using
- Prediction of OCR accuracy using simple image features (LRB, JK, TAN), pp. 319–322.
- ICDAR-1993-KanaiNRN #comprehension #documentation #metric #performance
- Performance metrics for document understanding systems (JK, TAN, SVR, GN), pp. 424–427.