Topic: "bert-embedding"
JohnSnowLabs/nlu
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Language: Python - Size: 474 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 909 - Forks: 138

SatyamSoni23/Smart-Question-Answering-System-on-Document
It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.
Language: Jupyter Notebook - Size: 39.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 12

murali1996/nlp-notes
A curated list of papers and experiments in the field of Natural Language Processing (NLP)
Size: 547 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3

janerjzou/NER
Apply Bi-LSTM with self-attention, attached CRF for Named Entity Recognition.
Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

waldekmaciejko/web_sum
Example of usage several NLP algorithms to create summary of political topic articles from web.
Language: Python - Size: 14.6 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

kaledhoshme123/Transformers-LSTM-with-XGBRegressor
The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 and 5, I did not treat the system as a classification process, but rather it was treated as a REGRESSION issue
Language: Jupyter Notebook - Size: 179 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

alexislintw/Movie-Recommender-Systems
Tutorials for recommender system
Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
