ifeynman Goto Github PK

2018-daguan-competition

2018年"达观杯"文本智能处理挑战赛-长文本分类-rank4

a-deep-reinforced-model-for-abstractive-summarization

Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304

agriculture_knowledgegraph

农业知识图谱(KG)：农业领域的信息检索，命名实体识别，关系抽取，分类树构建，数据挖掘

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

author-disambiguation

author_disambiguation

sample fuzzy matching and author disambiguation task based on research article data from PubMed

biendata

开放学术精准画像比赛top15，xgboost + pagerank

bytecup

bytecup2018

Byte Cup 2018 International Machine Learning Contest

bytecup2018-1

chinesener

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

data_grand

2018达观杯文本智能处理挑战赛 Top10解决方案（10/3830）

dataset-person-name-disambiguation

creating a dataset for person name disambiguation using combination of sources like wikipedia, DBLP authors and PPDB.

disambiguation

These files contain program to identify individuals in a large set of author names using unsupervised graph clustering algrorithm.

dpcnn-textcnn-pytorch-inception

本项目主要为针对DPCNN（Deep Pyramid Convolutional Neural Networks for Text Categorization ）文本分类（Text Classification）的论文复现以及基于知乎看山杯Inception的修改和复现，后者效果略优。

fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

kaggle-quora-insincere-questions-classification

Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案

kaggle_microsoft_malware

code for kaggle competition Microsoft malware classification

kaggle_public

阿水的开源分支

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

linkprediction

Solution for Tsinghua Data Science Winter School 2017

lstm-crf

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:

medical-entity-recognition

包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别

medical_ner_crfsuite

基于条件随机场的医疗电子病例的命名实体识别

nedfornoisytext

Named Entity Disambiguation for Noisy Text

ner

基于tensorflow深度学习的中文的命名实体识别

neruselocal

电子病历实体命名识别

pk

pytorch-elmo-bilstmcrf