stanfordnlp
Where is the NFLAnnotator.java
Hi, I've seen NFLAnnotator.java in src/edu/stanford/nlp/pipeline/package-info.java but I can not find this file. Where the NFLAnnotator.java locates ?
I'm sorry, but we no longer distribute that annotator.
On Tue, Dec 24, 2019 at 5:07 PM cklsoft [email protected] wrote:
Hi, I've seen NFLAnnotator.java in src/edu/stanford/nlp/pipeline/package-info.java but I can not find this file. Where the NFLAnnotator.java locates ?
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er distribute that annotator.
@AngledLuffa Thanks for your reply. The reason is it not free?
I think it's just out of date. Better results from kbp and/or openie
On Tue, Dec 24, 2019 at 6:13 PM cklsoft [email protected] wrote:
er distribute that annotator.
@AngledLuffa https://github.com/AngledLuffa Thanks for your reply. The reason is it not free?
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I think it's just out of date. Better results from kbp and/or openie … On Tue, Dec 24, 2019 at 6:13 PM cklsoft @.***> wrote: er distribute that annotator. @AngledLuffa https://github.com/AngledLuffa Thanks for your reply. The reason is it not free? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#979?email_source=notifications&email_token=AA2AYWNA4SVV7KIW3D5TWMDQ2K6T7A5CNFSM4J7BRILKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHTYVJA#issuecomment-568822436>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AA2AYWNS2GYRBIYP52DU2HTQ2K6T7ANCNFSM4J7BRILA .
@AngledLuffa I wanna use CoreNLP to do NER for Wikipedia NFL document. Can I use KBP/openie directly ?
@AngledLuffa The result for annotators = tokenize,ssplit,pos,lemma,ner,parse,coref,kbp
<token id="27">
<word>33-yard</word>
<lemma>33-yard</lemma>
<CharacterOffsetBegin>268</CharacterOffsetBegin>
<CharacterOffsetEnd>275</CharacterOffsetEnd>
<POS>JJ</POS>
<NER>O</NER>
<Speaker>PER0</Speaker>
</token>
Ok, it's true that if you want to process 33-yard and get an annotation that's a distance we currently don't have an annotator for that. However, you can probably use the tokensregex annotator for things such as yards, for example. There's also the NER annotator for player names. There's only a couple hundred team names, including past, present, cities, and nicknames, so that should be manageable with a regex annotator as well.
And since we're on the topic, F***ING GO EAGLES
On Tue, Dec 24, 2019 at 7:17 PM cklsoft [email protected] wrote:
@AngledLuffa https://github.com/AngledLuffa The result of annotators = tokenize,ssplit,pos,lemma,ner,parse,coref,kbp
<token id="27"> <word>33-yard</word> <lemma>33-yard</lemma> <CharacterOffsetBegin>268</CharacterOffsetBegin> <CharacterOffsetEnd>275</CharacterOffsetEnd> <POS>JJ</POS> <NER>O</NER> <Speaker>PER0</Speaker> </token>— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/stanfordnlp/CoreNLP/issues/979?email_source=notifications&email_token=AA2AYWO6S2VWVD77SUDRIHLQ2LGFPA5CNFSM4J7BRILKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHT2JNI#issuecomment-568829109, or unsubscribe https://github.com/notifications/unsubscribe-auth/AA2AYWJ5LUQX4CFGO7ACN73Q2LGFPANCNFSM4J7BRILA .