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dumplingximen's Projects

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

bert-utils icon bert-utils

BERT生成句向量,BERT做文本分类、文本相似度计算

bist-parser icon bist-parser

Graph-based and Transition-based dependency parsers based on BiLSTMs

chinesener icon chinesener

A neural network model for Chinese named entity recognition

corenlp icon corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

deep-recursive icon deep-recursive

Implementation of a deep recursive net over binary parse trees (code for NIPS2014 paper)

jointparse icon jointparse

Joint model for word segmentation, POS tagging, and dependency parsing (a part of my thesis work)

jptdp icon jptdp

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing

nnjm-global icon nnjm-global

A python implementation of the neural network joint language model and an extension of it using global source context.

pcfg icon pcfg

A Python implementation of Probabilistic Context-Free Grammar Parser.

pcfg-1 icon pcfg-1

It is an implementation of Probabilistic Context-Free Grammar Parser.

pcfgparser icon pcfgparser

Python implementation of the CYK algorithm for PCFG parsing

pos icon pos

train a model for joint segmentation and pos

pytorch-pretrained-bert icon pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

synthai icon synthai

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_poems icon tensorflow_poems

中文古诗自动作诗机器人,屌炸天,基于tensorflow1.0 api,加入了创作歌词模块!!正在积极维护升级中,快star,保持更新!

trance icon trance

Trance parser: an implementation of transition-based neural constituent parsing

transformer icon transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

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