hongweizeng

cnn-seq2seq

Dialogue-Corpus

Answer-selection

a pytorch implementation of answer-selection using convolutional encoder for setence representation.

Multi-Turn-Dialogue-Generation

ZeroCQG

Code for ACL 2023 paper "Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation with Pre-trained Language Model".

paragraph-level-QG

Code for Information Sciences 2021 paper "Improving Paragraph-level Question Generation with Extended Answer Network and Uncertainty-aware Beam Search".

papernotes

CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Dialog_Corpus

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

DrQA

Reading Wikipedia to Answer Open-Domain Questions

Hybrid-Code-Networks-Pytorch

HCNs

lightning-transformers

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

OpenNMT-py

Open Source Neural Machine Translation in PyTorch

README

README文件语法解读，即Github Flavored Markdown语法介绍

response-selection

scrapy

tom61儿童网，沪江育儿，成语，

Silk-Road-Knowledgegraph

丝路工程- Knowledge graph模块

text_similarity_lda_lsi

using lda|lsi to compute the document similarity

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

VAE-LM

Variational AutoEncoder Language Model

visDial.pytorch

visual dialog model in pytorch