I like to think of it as providing examples of what is NOT what you are wanting tags. Gary Underwood gunderw...@clinacuity.com
> On Oct 6, 2017, at 3:50 PM, Joern Kottmann <kottm...@gmail.com> wrote: > > It is like Daniel says and it is good to have training data that is > close to the data you intend to process with the model. > > Jörn > > On Fri, Oct 6, 2017 at 5:32 PM, Dan Russ <danrus...@gmail.com> wrote: >> I believe it does. Every word is classified as “begin”, “inside”, or >> “outside” - BIO encoding, so an event is generated for “she” and then “does” >> and then “not” — all of which is classified as “outside”. >> >> Anyone smarter have a comment on this??? >> Daniel >> >> >>> On Oct 6, 2017, at 11:26 AM, Benedict Holland >>> <benedict.m.holl...@gmail.com> wrote: >>> >>> Hello all, >>> >>> I am working on getting together a file with a list of tokenized sentences. >>> I have a quick question: >>> >>> Can name training data contain sentences without any tags? >>> >>> For example, if I had a sentence like >>> >>> <START:person> Molly <END> enjoys pancakes in the morning . >>> She does not enjoy being woken up at 4:30 by her cat . >>> >>> Does the second sentence provide any additional benefit to the ME model? >>> The answer to this question should probably be in the documentation. >>> >>> Thanks, >>> ~Ben >>
