use Stanford snorkel to help mark literature essays

Hello. As you may know, Python NLTK module is the best choice for NLP projects. I have a masters degree in AI and have worked on similar projects for 7+ years. Also I work as a fulltime freelancer and can assign enough time to your project. Feel free to let me know if you have any questions. Thanks, Helmot

Hello, Dear How are you? I am very interested in your project and am ready for discussing with you about project for now. I have experienced in developing Data Analytics, Django, Machine Learning, Natural Language, Python. I will work very hard and best for you. Best Regards

Hi! I am a 12 years experienced senior software engineer and has worked on various similar projects and has understood the basic requirements of your project, need to discuss the details of your project, kindly mark me a separate message when you are back. Thanks and regards

I have previously worked on relation extraction from text using distant supervision techniques. I have the experience on working with relation extraction using tree kernels, data tagging using information from external semantic repositories, distant supervision for without labelled data. I could not only tag the data using Snorkel but also explore various semi supervised learning techniques on unlabelled data. An ensemble model could be created to increase the overall model predcition accuracy. I have been following the various Snorkel improvisations on Multi-task weak supervision, image data data and language data. My rich experience in NLP and relation extraction on unsupervised datasets makes me an apt candidate for the task.