A simple text based AI to execute commands using NLP
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Updated
Apr 14, 2017 - Python
A simple text based AI to execute commands using NLP
Stanford CS224n: Natural Language Processing with Deep Learning
Stanford CS224N:Natural Language Processing with Deep Learning 2017
Dockerized Python application for analyzing data stored in RDBMS using Jupyter Notebook
cocoa chatbot for flights
Stanford University cs224n Assignments solutions
TensorFlow Models for the Stanford Question Answering Dataset
Course assignments for http://web.stanford.edu/class/cs224n/index.html
Short overview on the must popular models for Named Entity Recognition
In this Project I have used Standford Tools to extract the named entity and relation between those entity
Information extraction using pre-trained models
Named Entity Recognition for standard entities and sentiment analysis.
Stanford NLP with Deep Learning course (WI 19)
A rule-based, English language, passive voice converter. Requires spaCy.
Chinese implementation of the Python official interface for Stanford CoreNLP Java server application to parse, tokenize, part-of-speech tag, etc. Chinese texts.
NER Webapp for Wiki Musician, using Stanford NLP, 命名实体识别
Python 3 wrapper around the Stanford Topic Modeling Toolbox. Intended to be used for hassle-free supervised topic classification with Labeled Latent Dirichlet Allocation (L-LDA, LLDA, sLDA).
Neural encoder-decoder model for lemmatization
My codes(possible answers) for Stanford NLP courses, namely cs224n. Noting with Chinese and English.
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