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Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Results 13 Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs issues
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Hi, I own the Ontonotes dataset in folders but I am looking to convert them to the same style as the CONLL2003 .txt files that are provided in this repo....

def padding(Sentences): maxlen = 52 for sentence in Sentences: char = sentence[2] for x in char: maxlen = max(maxlen,len(x)) for i,sentence in enumerate(Sentences): Sentences[i][2] = pad_sequences(Sentences[i][2],52,padding='post') return Sentences Please, explain...

Dear Sir, I'm planning to use this code to extract named entities from frensh texts. The tags are : wife name, husband name, mother name, father name, birth day, etc....

is there any possibility to do prediction on text documents? because when i tried for loop to read line by line and pass into the p.predict() its not running ?...

Solution for Object arrays cannot be loaded when allow_pickle=False

Hello, If your requirement is just "numpy", it will install the latest version (e.g. numpy-1.17.5 as of the day this issue was created), and this leads to an error when...

Is there any tool to annotate words and gives this format of train.txt ?

Hi all, Has anyone tried adding CRF layer on the last layer to improve performance? Thanks

In case i want to train on my custom dataset and i have the data ready in the required conll data format. Can i use the the pre-trained glove embedding...

Thanks for sharing the code. Can you tell if there's a way to get confidence/score values for each entity that's predicted? Using Model.predict("My name is XYZ") Can I get the...