character-embeddings | Topic | Ecosyste.ms: Repos

Topic: "character-embeddings"

guillaumegenthial/tf_ner

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Language: Python - Size: 144 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 923 - Forks: 274

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

Language: Python - Size: 1.85 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 411 - Forks: 80

kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Language: Python - Size: 1.09 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 365 - Forks: 141

yxtay/char-rnn-text-generation

Character Embeddings Recurrent Neural Network Text Generation Models

Language: Python - Size: 4.81 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 60 - Forks: 23

kensk8er/langdist

Multilingual Language Modeling Toolkit

Language: Python - Size: 5.91 MB - Last synced at: about 12 hours ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 1

SpringerNLP/Chapter6

Chapter 6: Convolutional Neural Networks

Language: Jupyter Notebook - Size: 3.46 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 5

lbasek/named-entity-recognition

Named Entity Recognition - Python - Keras

Language: Python - Size: 161 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 4

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

Language: Jupyter Notebook - Size: 3.83 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

maltejanssen/NoisyNER---named-entity-recognition-in-social-media

Language: Python - Size: 238 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

tomassykora/bidaf-question-answering

Bi-Directional Attention Flow (BiDAF) question answering model enhanced by multi-layer convolutional neural network character embeddings.

Language: Python - Size: 9.97 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

tttr222/autumn_ner

A standalone deep neural network-based NER system.

Language: Python - Size: 730 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 2

BHK4321/hangmanAI

Hangman Game Word Predictor (Character-level attention)

Language: Jupyter Notebook - Size: 125 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

NIR3X/StringSimilarity.cpp

StringSimilarity.cpp - C++ Classes for Calculating String Similarity Using Character Embeddings

Language: C++ - Size: 17.6 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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

Language: Python - Size: 8.22 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

surafiel-habib/Transformer-Based-Amharic-to-English-Machine-Translation-with-Character-Embedding-and-Combined-Regul

Language: Jupyter Notebook - Size: 9.04 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

keerthanmahesh/Code-Mixed-Sarcasm-Detection

A deep learning model for sarcasm detection in Hindi-English code-mixed tweets.

Language: Jupyter Notebook - Size: 696 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0