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)