Implement zero-shot learning on text to predict semantic relationships

Chiuso Pubblicato 5 anni fa Pagato alla consegna
Chiuso Pagato alla consegna

I have triples such as:

(Justin - likes - apples)

(apples - color - red)

I would like to train such data using zero-shot learning to build a model to predict the relationship (second term in the triple). Zero-shot model known for the ability to predict objects that do not exist in the training set and that is what I want. For example, given the triple (man - .... - USA) the model should predict (lives) even if the relationship (lives) did not appear in the training data.

All the code should be using Python3.

Intelligenza Artificiale Elaborazione dati Machine Learning (ML) Python

Rif. progetto: #18309196

Info sul progetto

8 proposte Progetto a distanza Attivo 5 anni fa

8 freelance hanno fatto un'offerta media di $237 per questo lavoro

schoudhary1553

I am expert who understands the value of time. I pride myself in my attention to detail. I am very hard working and aim to deliver in less time than quoted. I want to make you, my employer happy without changing my bid Altro

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edecena75

Hi, I am interested in your project. I am Python and Machine Learning specialist, certified by Freelancer. I fully understand your requirements and I am sure I can help you. Let's discuss details by chat. Thank you.

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hamzaisb

I am a professional ML/NLP Engineer in an IT company with 3+ years of Python, Machine learning and Natural Language processing, have experience working with many challenging problems and also with different tools and Altro

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dinhfreedom

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Predicting Semantic Relations Programming. I'm really confident about your project, and very eager to join your proj Altro

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6.5
liveexperts123

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davidngo817

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soransingh91

hi i will happy to serve you i will do everything as you require and trying to give my best as per my skills. please contact me for more conversation.

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