mpsilfve / finer-data Goto Github PK

Dear authors,

You have used the neural model from the paper "Deep Exhaustive Model for Nested Named Entity Recognition". How did you get the code for that model? Did you implement it from scratch?

Thanks

At least the following appear in the data:

• Gam esIndustry-julkaisu
• ki rjoitettu
• myytyynYounitediin
• tal lennustilaa
• jaNokia
• televisionkatselu un
• Lumia-puheli mia
• koneveikoll e
• ostavatselaimia
• palkankorotustoiveistapomolle
• verta si
• sal asanoista
• vit sailtu
• viittausPohjois-Koreaan
• ki innostusta
• Kicks tarterissa
• odottama an
• liikent een
• le vittämiseen
• ko konaisuudessaan
• verkkos ivustolta

A quick google indicates that at least some of these were not mistakes in the original texts.

If there's interest in addressing these, I'd be happy to submit a pull request for the cases I'm aware of.

There are a few NE sequences that start with I- instead of B- (as most do) in the files in data/. For example, the following appears in data/digitoday.2014.train.csv

520   I-PRO   O
.     O       O
  
Lumia I-PRO   O
520:n I-PRO   O
osuus O       O
käytössä      O       O

(I'd be happy to dig out the details for the rest if there's interest in addressing this issue.)