character-embeddings
There are 19 repositories under character-embeddings topic.
guillaumegenthial/tf_ner
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
AlexYangLi/ccks2019_el
CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案
kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
yxtay/char-rnn-text-generation
Character Embeddings Recurrent Neural Network Text Generation Models
hajarmerbouh/Cybersecurity-Knowledge-graph
The repository consists of : Construction of the corpus, Named Entity Recognition , Relationship Extraction , Construction of knowledge graph using py2neo , Analysis on the constructed KG with cypher commands
kensk8er/langdist
Multilingual Language Modeling Toolkit
SpringerNLP/Chapter6
Chapter 6: Convolutional Neural Networks
lbasek/named-entity-recognition
Named Entity Recognition - Python - Keras
tomassykora/bidaf-question-answering
Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.
tttr222/autumn_ner
A standalone deep neural network-based NER system.
HarmanDotpy/Named-Entity-Recognition-in-Pytorch
Named Entity Recognition system, entirely in PyTorch based on a BiLSTM architecture. Includes an analysis and comparison of different architectures and embedding schemes. Includes support for Character Embeddings, CRF layer (developed from scratch), Layer Normalization, Glove embeddings
harshd23/Paper_Peek
Paper Peek is a project based on Natural Language Processing which helps the medical professional to read abstracts from the Randomized controlled trials (RCTs) abstracts into sub sections such as Background, Objective etc.
NIR3X/StringSimilarity.cpp
StringSimilarity.cpp - C++ Classes for Calculating String Similarity Using Character Embeddings
keerthanmahesh/Code-Mixed-Sarcasm-Detection
A deep learning model for sarcasm detection in Hindi-English code-mixed tweets.
Raj123majumder/NER_project
NER is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages,etc.
bballamudi/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
cmsflash/ocean-text
Implementation of OceanText, a visual embedding algorithm for Chinese.
knielbo/fair-etech
This is a mockup site, data and links are empty
stoufa/Neural-Machine-Translation_Transliteration
An Intelligent Approach for Translation / Transliteration using Neural Networks