disable unnecessary spacy pipeline components

[sp1thas]

Optimize pke.readers.RawTextReader by removing unnecessary components (ner, textcat) from spacy pipeline.

related issue: #118

[ygorg]

Thanks, though the parser is still there. According to spacy/pipeline, the parser is needed for sentence tokenisation. But also computes dependencies (which pke does not use) which seem a long process.
I ran experiments to see the speed gain of loading spacy, disabling (ner, textcat), disabling (ner, textcat, parser) and reenabling sentence tokenisation.

nlp = spacy.load('fr')
nlp = spacy.load('fr', disable=['ner', 'textcat'])
nlp = spacy.load('fr', disable=['ner', 'textcat', 'parser'])
nlp.add_pipe(nlp.create_pipe('sentencizer'))

The text preprocessed is http://abu.cnam.fr/cgi-bin/donner?nddp1 (only the first 999999 first characters to match spacy's limitation). The time reported is a mean of 5 runs (in seconds).

command	time loading spacy	time processing document
spacy.load('fr')	4.40	33.48
+ disable=['ner', 'textcat']	4.36	23.96
+ disable=['ner', 'textcat', 'parser'] + enable('sentencizer')	4.31	12.08

[sp1thas]

Well this is a huge improvement.

When I tried to remove parser (without enabling the sentencizer), then the tests were failing. So I though that parser was required.

Therefore, your recommendation is totally right.

[ygorg]

Just ran pytest it works, so i'm merging thanks !