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Answer Selection with Traditional Stastical Methods

-lstm

Code for IWCS 2017 paper "Representation Learning for Answer Selection with LSTM-Based Importance Weighting"

answer-selection-pytorch-

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

answer-sentence-selection

Character Embedding + ESIM + Focal Loss for Chinese Answer Sentence Selection

bert-based-faqir

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。

cnn-in-answer-selection

WikiQA，复现论文《APPLYING DEEP LEARNING TO ANSWER SELECTION: A STUDY AND AN OPEN TASK》

comparemodels_trecqa

Compare six baseline deep learning models on TrecQA

customer-chatbot

中文智能客服机器人demo，包含闲聊和专业问答2个部分，支持自定义组件（Chinese intelligent customer chatbot Demo, including the gossip and the professional Q&A(FAQ) , support for custom components！）

elasticsearch_chatbot

检索式问答系统

faq-question-answer-system

基于深度学习的FAQ式问答系统

insuranceqa-cnn-lstm

tensorflow and theano cnn code for insurance QA(question Answer matching)

insuranceqa-pytorch

Implementation of LSTM based Deep Learning Models for Non-Factoid Answer Selection by Ming et al. in PyTorch

iwcs2017-answer-selection

Repository for the IWCS 2017 paper "Representation Learning for Answer Selection with LSTM-Based Importance Weighting"

knrm_xgboost

knrm特征+xgboost分类

qa-rankit

QA - Answer Selection (Rank candidate answers for a given question)

qa_lstm_attention

LSTM-BASED DEEP LEARNING MODELS FOR NONFACTOID ANSWER SELECTION

qacnn

Applying deep learning to answer selection: A study and an open task

question-answer-selection

biLSTM/CNN based deep learning framework for Question Answer Selection.

question_answering_models

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

text_matching

常用文本匹配模型tf版本，数据集为QA_corpus，持续更新中

trecqa

TREC QA dataset for question answering cleaned for usage in Question Answering

variational-text-tensorflow

TensorFlow implementation of Neural Variational Inference for Text Processing

wikiqa

WikiQA dataset for question answering cleaned for usage in Question Answering

wikiqa-cnn

Implementation of the Adaboost algorithm for letter recognition, which is a multi classification problem.

wikiqa-selection

Answer selection task based on WikiQA datatest.