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end2end_neural_el

entity2rec

entity2rec generates item recommendation using property-specific knowledge graph embeddings

ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

event-registry-python

Python package for API access to news articles and events in the Event Registry

fanbot

A bot to drive twitter and tweet positive things

fastai-notebooks

Repository of FastAI Notebooks

fastbook

The fastai book, published as Jupyter Notebooks

fewrel

A Large-Scale Few-Shot Relation Extraction Dataset

figer

Fine-Grained Entity Recognizer

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

free-programming-books

:books: Freely available programming books

from-unstructured-text-to-knowledge-graphs

gate-cloud-python-example

example of using the GATE Cloud on-line API

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

gcn-over-pruned-trees

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

gdelt

gensim

Topic Modelling for Humans

gnns-for-nlp

Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019

googlenews

News crawler from major sources (Google, Yahoo and RSS)

googlescraper

A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, Baidu and others) by using proxies (socks4/5, http proxy) and with many different IP's, including asynchronous networking support (very fast).

gop_twitter_sentiment

GOP Twitter Sentiment Analysis

graph-embeddings-for-recommender-systems

This project involves predicting a user’s preference for some item they have not yet rated. I used a collaborative filtering model to explore this problem. In this model, the goal is to find the sentiment of a user about a particular item. This task is performed using a graph-based technique called DeepWalk.

graphembedding

Implementation, experiments and applications of graph embedding algorithms.deep walk,LINE ,node2vec,SDNE(Structural Deep Network Embedding)

graphqembed

Learning to query complex networks

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hlt

Implementation of a number of simple models for sentiment analysis and POS tagging

hmtl

HMTL: Hierarchical Multi-Task Learning

illinois-cogcomp-nlp-1

CogComp's Natural Language Processing libraries

init-py-crawlers

Initial Work

intra-bag-and-inter-bag-attentions

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions