An implementation of the Chen & Manning paper in TensorFlow
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Updated
Mar 13, 2017 - Python
An implementation of the Chen & Manning paper in TensorFlow
NLP Essentials
Dependency parer using Deep Learning in Pytorch
Malware attacks and defences: safety of a mobile application
A parser that maps HanLP dependencies to Stanford Typed dependencies for Chinese.
An AI bot with cognitive intelligence
Given 10 predefined relations like cause-effect, product-producer, etc., the goal was to define the relation and the direction of the relation between 2 entities in a sentence.
Dependency Parser - Natural Language Processing
Hospital Web App with NLP-based Disease Search Engine and Doctor Recommendation. We have developed a comprehensive and innovative hospital web application aimed at enhancing the healthcare experience for patients. Our app combines cutting-edge technology React and Python based Natural Language Processing (NLP).
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Natural Language Processing course.
Software project
My works for "Natural Language Processing" Coursera course.
A Dependency Parser for Hindi using SVMs, NLP | Spring 2021
In this project, you will learn how to generate a complete semantic parse of utterances. First, you will make a discovery on your dataset to get insights about the dataset analytics. Then, you will learn, to extract entities with two different techniques – with spaCy Matcher and by walking on the dependency tree. Next, you will learn different w…
Visualizer of relations between iKnow entities.
My solutions for the assignments in the Stanford CS224n Deep Learning for NLP (Winter 2019) course.
Final project of my Computer Science degree. This software is an implementation of a Dependency parser for Spanish, using SVM.
NLP related concepts, challenges and datasets
Repository for our Covid19 Biohackathon Projects
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