Skip to main content
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
For more details on advanced search visit our help page
Results tagged with
Search options answers only not deleted user 65131
1 vote

Need to find out algorithim for entity recognition

I suggest you to use Stanford NLP tools. They have a library specifically for NER. They are all written in Java, but nltk provides a Python wrapper for them. You can call it with: from nltk.tag.stanfo …
Leevo's user avatar
  • 6,355
1 vote
Accepted

NER with Unsupervised Learning?

If we treated NER as a classification/prediction problem, how would we handle name entities that weren't in training corpus? The goal of a NER Tagger is to learn patterns in language that can be …
Leevo's user avatar
  • 6,355
6 votes

Twitter POS and NER: What is state-of-the-art?

SOTA is changing so rapidly in NLP that even Data Science professionists struggle to cope with it. I have two main sources that I constantly check to gain some insights on SOTA: NLP Progress from Seb …
Leevo's user avatar
  • 6,355
0 votes

Custom Named Entity Recognition using deep learning

I suggest you to take a look at the performance of mainstream taggers first. Namely: spacy, nltk, stanfordnlp. Check how good they are on finding the right set of names on your Test set. Alternatively …
Leevo's user avatar
  • 6,355
1 vote
Accepted

What's the best way to train a NER model?

I would start by training some very strong Named Entity classifier on available datasets for NER. One is the Annotated Corpus for Named Entity Recognition available on Kaggle. Additionally, you can f …
Leevo's user avatar
  • 6,355