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misoknisky's Projects

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

apps icon apps

APPS: Automated Programming Progress Standard (NeurIPS 2021)

aqqu icon aqqu

More Accurate Question Answering on Freebase

asreader icon asreader

This is an implementation of the Attention Sum Reader model as presented in "Text Comprehension with the Attention Sum Reader Network" available at http://arxiv.org/abs/1603.01547.

attention-over-attention icon attention-over-attention

Implementation of Attention-over-Attention Neural Networks for Reading Comprehension (https://arxiv.org/abs/1607.04423) in TensorFlow

bert icon bert

TensorFlow code and pre-trained models for BERT

bilm-tf icon bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

bimpm icon bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

ccl_cmrc2017 icon ccl_cmrc2017

第一届“讯飞杯”中文机器阅读理解评测参考模型

cdial-gpt icon cdial-gpt

A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

chinesewordvectors icon chinesewordvectors

搜集、整理、发布 预训练 中文 词向量/字向量,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

cmrc2019 icon cmrc2019

The Third Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2019)

cnn icon cnn

Convolutional Neural Network using Eigen and C++

complex icon complex

Source code for experiments in the ICML 2016 paper "Complex Embeddings for Simple Link Prediction"

complexeventextraction icon complexeventextraction

A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph,本项目提出了中文复合事件的概念与显式模式,包括条件事件、因果事件、顺承事件、反转事件等事件抽取,并形成事理图谱。

conve icon conve

Convolutional 2D Knowledge Graph Embeddings resources

copynet icon copynet

CopyNet Implementation with Tensorflow and nmt

crimekgassitant icon crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

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