Chunlinx

224nfinalproject

aaai2019-coala-cqa-answer-selection

ABCNN

Implmentiaion of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

bioasq-rl

Experiments using Reinforcement Learning for BioASQ

DME

Dynamic Meta-Embeddings for Improved Sentence Representations

Dynamic-Clip-Attention

Implemention of A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection

multiffn-nli

Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.

Natural-Language-Processing-with-TensorFlow

Natural Language Processing with TensorFlow, published by Packt

Question_Answering_Models

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

rnn_predict

Simple RNN (Gated Recurrent Units) for predicting a diagnosis

Chunlinx/ArticlePairMatching

The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions

Chunlinx/Bert-Multi-Label-Text-Classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

Chunlinx/biobert

BioBERT: a pre-trained biomedical language representation model

Chunlinx/CCCapsNet

A PyTorch implementation of Compositional coding Capsule Network based on the paper "Compositional coding capsule network with k-means routing for text classification"

Chunlinx/deeplearning-models

A collection of various deep learning architectures, models, and tips

Chunlinx/Depth-Adaptive-GRN

Chunlinx/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Chunlinx/ESIM-1

Implementation of the ESIM model for natural language inference with PyTorch

Chunlinx/fastNLP

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Chunlinx/knowledge-enabled-textual-entailment

Natural Language Inference is fundamental to many Natural Language Processing applications such as semantic search and question answering. The task of NLI has gained significant attention in the recent times due to the release of fairly large scale, challenging datasets. Present approaches that address NLI are largely focused on learning based on the given text in order to classify whether the given premise entails, contradicts, or is neutral to the given hypothesis. On the other hand, techniques for Inference, as a central topic in artificial intelligence, has had knowledge bases playing an important role, in particular for formal reasoning tasks. While, there are many open knowledge bases that comprise of various types of information, their use for natural language inference has not been well explored. In this work, we present a simple technique that can harnesses knowledge bases, provided in the form of a graph, for natural language inference.

Chunlinx/latent-treelstm

Cooperative Learning of Disjoint Syntax and Semantics

Chunlinx/MachineLearning_Zhouzhihua_ProblemSets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

Chunlinx/nlp-beginner

NLP上手教程

Chunlinx/nlp_research

NLP tasks: text classification/sentence matching/sequence tagging/text generation ...

Chunlinx/pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Chunlinx/RE2

Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

Chunlinx/SemBERT

Semantics-aware BERT for Language Understanding (AAAI 2020)

Chunlinx/sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Chunlinx/StackedDeBERT

Stacked Denoising BERT for Noisy Text Classification (Neural Networks 2020)

Chunlinx/STCKA

Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention

Chunlinx/structured-text-representations

Pytorch implementation of : "Learning Structured Text Representations"

Chunlinx/TCMSA

Code of Tree communication model (TCM) for sentiment analysis.

Chunlinx/Tech_Aarticle

深度学习各种模型实战-深度学习模型在各大公司实际生产环境的应用讲解文章，涉及到搜索(Query理解，召回，排序)/推荐(召回，排序)/自然语言处理(文本分类，文本相似度判定，文本匹配，文本生成，命名体识别)

Chunlinx/Text-Matching

Chunlinx/Text_Classification

Text Classification Algorithms: A Survey

Chunlinx/text_classification-1

文本分类技术总结

Chunlinx/transformer-on-diet

Code repo for "Transformer on a Diet" paper

Chunlinx/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Chunlinx/Tree-Transformer

Implementation of the paper Tree Transformer

Chunlinx/wikipedia2vec

A tool for learning vector representations of words and entities from Wikipedia