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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 …
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 …
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 …
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 …
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 …