Help with relationship extraction

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in machine/deep learning, artificial intelligence programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.

Hi, Could you please send me more information about the essays database you have built? Do you have certain criteria for establishing the marks? Are at least a part of the essays from your database labeled with a mark (this is necessary to be able to do the training and the testing of the model on them - the more you have the better as the built model can be more accurate). I could work on your project using python and Tensorflow. Kind regards, Adina

Hello there I’m an expert in machine learning and artificial intelligence. I’m very interested in working on your project. Contact me

Hi! I have read all the provided instructions, and I am the right person to work on this task, and I wanted to reach out and see whether the opportunity is still available. As you can see from the previous clients I deliver exceptional quality work, I’m incredibly passionate about your project, and my style compliments your requirements: Click on that__CHAT__button below so that I can ask a few questions concerning your project. If the job’s no longer available, I’d appreciate you throwing my hat into the ring for any similar opportunities in the future. Thank you for your time, I look forward to hearing from you soon, Best Wishes, Damaris

Hi We can use NLP tool kit to extract the semantics from marked database. Those semantics, keywords then can be passed to RNN for training. Given a test data we can apply again NLP and pass it to trained RNN.

Hi, I am going to help you. I have done some similar task so I have a experience. Let's discuss in more detail. Thanks.

Hi This can be done. NLP can give some feedback on the content, but the best way is for you to provide a series of essays that have already been marked and details of the reasons you marked them as such. This can be then be used to create an ML model to give a rough mark or feedback on the essay. Thanks Marc Nealer

Hi, I can start working on your requirements immediately. We can vectorize the essay using word2vec model so that we have sentences in terms of features. We can use LSTM model and train it on the ground-truth database. And then we can check the accuracy using Quadratic Weighted Kappa and then can calculate average kappa for all the folds of cross validation. We can discuss more about this over chat. Thanks