Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
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A database of text or speech, possibly annotated with language-specific explanatory information. Used for testing statistical hypothesis and constructing quantitative models.
0
votes
Corpus of tagged text (English newspapers or any tagged text)
You may consider SpaCY for pos_tagging. I bet you will love it spacy name entity recognition. It has got Name, Org, locations etc. It is faster in comparision to coreNLP, accuracy for NER holds at ~85 …