PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

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

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

简版文本对话/问答系统

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

Variants of Multi-Perspective Convolutional Neural Networks

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

WikiQA，复现论文《Multihop Atention Networks for Qestion Answer Matching》

My solution to Microsoft AI Challenge 2018

LSTM-BASED DEEP LEARNING MODELS FOR NONFACTOID ANSWER SELECTION

复现《A Compare-Aggregate Model for Matching Text Sequences》论文 via Tensorflow

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

CNN在句子相似性建模的应用,“Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks”这篇论文的tensorflow实现

A Hybrid Approach to Answer Selection in Question Answering Systems

Au3AnswerByTag is a support tool for the Servicedesk employees of a University in the Netherlands. Answers of repeating questions can be stored within the tool (in a database). They can also quick and easily found by tags and copied in rich text format style to the email program of choice.