I need to find out the formality and informality in textual data. Things you have to do: 1. Suggest the possible approaches (more than one) through which the formality of text can be judged. 2. Implement one of the approaches which you think would be the best fit for the problem. Note: If the expected time and resources for training are high then you can reduce the no. of epochs as well as the no....
Need a model with following features: 1) NER using transformer models like Bert(transfer learning) 2) Reinforced Learning 3) Active Learning Note: Jupyter notebook preferred. People ready to start working soon reach out. Payment will be on checkpoints. Duration: 1 week preferred for base model
Hi, i am looking for AI Chatbot with proper chatbot control. no dialogflow or any paid api need to built, only need pure AI chatbot which can be setup easily. anyone have already developed any chat bot can bid
we are trying to solve a classification problem where we want to classify the words from a sentence for ex 12 bar we want the model to identify and out it in pressure column And we want the algorithm to learn this going forward when do get better at classification
We need Transcriber for Santali ol chiki font . You will be transcribing audios to text in below language on an external tool we will provide you access to. All work will be in Loft 2.0, More information will be provided once you confirm your availability. Before bid please ensure you have stable connectivity and at least 6 to 8 hour availability per day. It's long term project.
Looking for a conversation bot dev with 2+ experience in KNOWLEDGE GRAPHS, DIALOGFLOW, RASA, WATSON, NLP/NLU. Must have exposure to GCP and Azure.
I need a NLP using Bert or spacy or gpt3 or any better one to do 1) NER and identify custom labels. 2) Based on labels identified a user should be able to train it by giving correct or false identification. 3) User should also be able to input some sentences to train the model like "abc is a software". Use case: Identify software names and component names from any pdf. Ping for more ...
We need to extract data from photos, pdf (editable/scanned), word document,excel. These could be: Name plate with equipment specifications such as serial number, rating, grade and certification etc etc. - for such cases we need to be able to do the following: Extract data and store it in a template format - with attribute name and attribute value. Compare two similar photos, pdf, documents and as...
looking for a Chinese and Korean person to place Real Estate advertising in local websites in Canada and Vancouver .
I need a python program that uses IBM's NLU to highlight in a Word document all the phrases in the active form.
After passing a handwritten document through OCR it generates (i.e. predict ) the text as output. That output is not of good quality. which means OCR doesn't predict 100% accurately. There are lots of wrong words predicted some of the words are out of dictionary words. So the task is to enhance the quality of output text based on ML / DL algorithms. Need to develop ML algorithms such as HMM/S...
We are looking for the candidate who can develop Plagiarism detection tool, which can identify the similarity between the 2 documents or more... Only serious candidates are encouraged to bid
The attached code is a simple network model for bigrams...now I want to modify this network for the SNLI corpus, i.e., we want to classify pairs of sentences as entailment, neutral, or contradiction. Only need the _init_ and forward functions for the new model. The deadline is in 3 days. it's in python and jupyter notebook
After passing a handwritten document through OCR it generates (i.e. predict ) the text as output. That output is not of good quality. which means OCR doesn't predict 100% accurately. There are lots of wrong words predicted some of the words are out of dictionary words. So the task is to enhance the quality of output text based on ML / DL algorithms. Need to develop ML algorithms such...
I want to create sentence or word embedding using the best possible method to get better results on nlp task of sentiment analysis and clustering.
