Train NER with Custom Training Data [closed] - nlp

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I am new to NLP and started with Spacy. I want to train NER with custom data and I am looking for free tool that can be used for Annotation.
Please suggest if you are using any open-source and User-friendly tool
Thanks in advance

You can start labeling with:
https://labelstud.io, or
https://github.com/doccano/doccano
The Spacy team also has the Prodigy (https://prodi.gy/), which could be freely used in academia.

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is there any free open source pre trained model just like FASTnet? [closed]

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For my thesis project, I am working on facial recognition and am currently facing difficulties in finding pre-trained models for face anti-spoofing.
Please educate me, and direct me to a website that features this model.

PyTorch Geometric: What is the function utility to split train/validation/test for node classification [closed]

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I am new to PyTorch Geometric. I know there is a function that gives you the train, test, and validation node mask of a custom ratio in the node classification task. Does anyone know it?
It is train_test_split_edges. You can read more about it here.
I found the function AddTrainValTestMask

About Abstractive Text Summarization (Knowledge-based) [closed]

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I am doing my 4th year project on Abstractive Text Summarization.
My task is to develop text-summarizer using knowledge-based abstractive method. I have done some research on this topic and I found some research papers too which consisted of only theoritical parts mostly and mentioned none about the implementation.
I have to complete this task in 2-3 months. Please suggest any good resources and some ideas for implementation of this project.

looking for training data for text classification [closed]

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I am looking for training data for text classification into categories like sports, finance, politics, music, etc.
Please guide to references. Hello.
You can get a Reuters corpus by applying at Reuters
You can also get the Technion Text Repository TechnionRepo
If you are building a text classfication system in real time, you would be already having a corpus of documents. One of the assumption in any Classifier is, training data & test data are similar or from the same distribution.
If you are just exploring or building sample usecases in this area, then probably this link might be helpful to get some train data.
http://web.ist.utl.pt/acardoso/datasets/
http://disi.unitn.it/moschitti/corpora.htm

Which tool for generating UML Entity-Relationship Diagrams using text? [closed]

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Which tool [for any OS... or even web] can I use to generate UML Entity-Relationship diagrams from text?
Thinking something along the lines of http://yuml.me/, really quick to write up.
Thanks for all suggestions.
The list of all textual UML tools (AFAIK) can be found here
I liked these two
Draw.io.
It's easy and you have option to save diagrams to google drive and dropbox
Lucidchart

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