Thanks for suggestion with own model, I'll try I use standard en-token.bin model, text contains mixed upper-lower case words.
On Thu, May 23, 2013 at 4:23 PM, Jörn Kottmann <[email protected]> wrote: > On 05/23/2013 02:04 PM, Яков Керанчук wrote: > >> I'm experimenting with NER model en-ner-money.bin and trying to recognize >> some strings like this: "twenty thousand dollars ", "10000 usd" and etc. >> >> So result Span set is empty, trough en-ner-person is woking well on Person >> examples. >> >> Is there any correction for work with money, examples? >> > > You should probably annotate some of your texts and then train on them, > the money detection works well in my private data with my own model. > > Anyway, it should detect some money values, maybe a problem with the > tokenization? > How do you tokenize? Is all you text lower case? If yes that will not work > well with the supplied > model. > > Jörn > -- Best regards, Yakov Keranchuk +79263768032
