MargauxParentAubay
Artificial intelligence student currently doing an internship at Aubay in research and development (NLP)
AubayParis, France
MargauxParentAubay's Stars
alenashuvar/facts_relations_extraction_course3
pradeep-gnr/SVO_Extractor
A simple hack to extract the Subject-Verb-Object from the phrase structure parse tree generated by stanford parser
Dimev/Spacy-SVO-extraction
small example on how to get SVO (subject, verb, object) information from an input, as well as whether that input was a question.
HassanElmadany/Extract-SVO
A python sript to extract subject-predicate-object (SVO) triplets from English sentences using Stanford Parser according to the following paper "Rusu, Delia, et al. "Triplet extraction from sentences." Proceedings of the 10th International Multiconference" Information Society-IS. 2007."
junhyeok-kim/TripletEmbeddingModel
Embedding method of subject-verb-object (SVO) triplet data in vector space
huggingface/neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
chingyaoc/VQG-tensorflow
Visual Question Generation in Tensorflow
ujjax/question-generation
Neural Models for Key Phrase Detection and Question Generation
KristiyanVachev/Question-Generation
Generating multiple choice questions from text using Machine Learning.
sattree/gap
Gendered Ambiguous Pronouns Shared Task
allenai/allennlp-models
Officially supported AllenNLP models
Lucas-Yang1/Relation_Extraction
半指针半标注、bert 、先提取Subject再预测Predicate和Object
jianzhiw/NLP
amarkotha00/Python_ML_DataScience_Training
alex-calderwood/spindle
Spindle is a mixed-initiative tool for generating full, multi-passage Twine stories. The repository contains code for the paper "Spinning Coherent Interactive Fiction through Foundation Model Prompts."
stanfordnlp/stanfordnlp
[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza
rajatvajpayee/syntactic-simplification-StanfordNLP
Sentence Simplification using Stanford Parser
StanfCS221/logic
Modeling English sentences as logical expressions.
dbpedia/fact-extractor
Fact Extraction from Wikipedia Text
fajim1/Transfer-learning-for-text-classification
Applying BERT for text classification on the health_fact dataset from huggingface
facebookresearch/NeuralDB
Database Reasoning Over Text project for ACL paper
chetakchauhan/Extracting-Facts-from-text-using-Tetacy