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Named Entity Recognition (NER)

1.​State of the art LSTM architectures using NN​
2.Medium: Ner free datasets and bilstm implementation using glove embeddings
3.Easy to implement in keras! They are based on the following paper​
4.​Medium: NLTK entities, polyglot entities, sner entities, finally an ensemble method wins all!
​Comparison between spacy and SNER - for terms.
*** Unsupervised NER using Bert​
​Custom NER using spacy​
​Spacy Ner with custom data​
​How to create a NER from scratch using kaggle data, using crf, and analysing crf weights using external package​
​Another comparison between spacy and SNER - both are the same, for many classes.​
​Vidhaya on spacy vs ner - tutorial + code on how to use spacy for pos, dep, ner, compared to nltk/corenlp (sner etc). The results reflect a global score not specific to LOC for example.
Stanford NER (SNER)
​SNER presentation - combines HMM and MaxEnt features, distributional features, NER has ​
​many applications.​
​How to train SNER, a FAQ with many other answers (read first before doing anything with SNER)​
​SNER demo - capital letters matter, a minimum of one. 
​State of the art NER benchmark​
​Review paper, SNER, spacy, stanford wins​
​Review paper SNER, others on biographical text, stanford wins​
​Another NER DL paper, 90%+​
Spacy & Others
​Spacy - using prodigy and spacy to train a NER classifier using active learning​
​Ner using DL BLSTM, using glove embeddings, using CRF layer against another CRF.
​Another medium paper on the BLSTM CRF with guillarue’s code​
​Guillaume blog post, detailed explanation​
​For Italian​
​Another 90+ proposed solution​
​A promising python implementation based on one or two of the previous papers​
​Quora advise, the first is cool, the second is questionable​
​Off the shelf solutions benchmark​
​Parallel api talk about bilstm and their 2mil tagged ner model (washington passes)​
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Last modified 7mo ago