对不起，但我们不再分发那个标注器。

在周二，2019年12月24日下午5:07,cklsoft ***@***.***>写道：嗨，我在src/edu/stanford/nlp/pipeline/package-info.java中看到了NFLAnnotator.java,但我找不到这个文件。NFLAnnotator.java在哪里？——你收到这个是因为你订阅了这个线程。直接回复这封邮件，查看它在GitHub上 <#979?email_source=notifications&email_token=AA2AYWOU75CLP5DX36VPCCDQ2KW5BA5CNFSM4J7BRILKYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4ICRX2VQ>,或者取消订阅 < https://github.com/notifications/unsubscribe-auth/AA2AYWIWBWUUL3MZTPV6ZG3Q2KW5BANCNFSM4J7BRILA > 。

er分发注解器。
@AngledLuffa
感谢你的回复。原因是它不是免费的吗？

我认为这已经过时了。更好的结果来自kbp和/或openie...

周二，2019年12月24日，下午6:13 cklsoft ***@***.***>写道：er分发这个标注器。@AngledLuffa < https://github.com/AngledLuffa >感谢您的回复。原因是它不是免费的吗？——您收到这封邮件是因为您被提及了。直接回复此电子邮件，查看GitHub上的<#979?email_source=notifications&email_token=AA2AYWNA4SVV7KIW3D5TWMDQ2K6T7A5CNFSM4J7BRILKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHTYVJA#issuecomment-568822436>,或者取消订阅< https://github.com/notifications/unsubscribe-auth/AA2AYWNS2GYRBIYP52DU2HTQ2K6T7ANCNFSM4J7BRILA >。

我认为这已经过时了。更好的结果来自kbp和/或openie。

在周二，2019年12月24日下午6:13,cklsoft ***@***.***>写道：er分发这个标注器。@AngledLuffa https://github.com/AngledLuffa感谢您的回复。原因是它不是免费的吗？——您收到这封邮件是因为您被提及了。直接回复此邮件，查看GitHub上的<#979?email_source=notifications&email_token=AA2AYWNA4SVV7KIW3D5TWMDQ2K6T7A5CNFSM4J7BRILKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHTYVJA#issuecomment-568822436>,或者取消订阅https://github.com/notifications/unsubscribe-auth/AA2AYWNS2GYRBIYP52DU2HTQ2K6T7ANCNFSM4J7BRILA。

@AngledLuffa我想使用CoreNLP为维基百科NFL文档进行命名实体识别(NER)。我可以直接使用KBP/openie吗？

@AngledLuffa 结果为 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 ***@***.***> wrote: @AngledLuffa < https://github.com/AngledLuffa > The result of annotators = tokenize,ssplit,pos,lemma,ner,parse,coref,kbp 33-yard 33-yard 268 275 JJ O PER0 — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#979?email_source=notifications&email_token=AA2AYWO6S2VWVD77SUDRIHLQ2LGFPA5CNFSM4J7BRILKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHT2JNI#issuecomment-568829109>, or unsubscribe < https://github.com/notifications/unsubscribe-auth/AA2AYWJ5LUQX4CFGO7ACN73Q2LGFPANCNFSM4J7BRILA > .