北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

• UpdatedApr 6, 2023

本SDK为实现QQ机器人平台的大一统，支持多种机器人平台：酷Q、MyPCQQ、QQLight等

• UpdatedAug 2, 2020
• C#

Vega-Lite Chart Dataset and NL Generation Framework using LLMs

• UpdatedMay 30, 2024
• Python

Official PyTorch implementation for ״ lassification-Regression for Chart Comprehension״

• UpdatedFeb 5, 2025
• Python

NS-CQA: the model of the JWS paper 'Less is More: Data-Efficient Complex Question Answering over Knowledge Bases.' This work has been accepted by JWS 2020.

• UpdatedJan 6, 2021
• Python

本SDK为实现QQ机器人平台的大一统，支持多种机器人平台：酷Q、MyPCQQ、QQLight等

• UpdatedAug 2, 2020
• PowerShell

MARL: the model of the IJCAI 2020 paper 'Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning.' This work has been published by IJCAI 2020.

• UpdatedOct 8, 2020
• Python

Implementation of "Distilling Knowledge for Fast Retrieval-based Chat-bots" (SIGIR 2020) using deep matching transformer networks and knowledge distillation for response retrieval in information-seeking conversational systems.

• UpdatedJul 23, 2020
• Python

QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites

• UpdatedJun 26, 2018

SoftSVM implementation

• UpdatedSep 24, 2018
• Jupyter Notebook

CQD-SHAP: Explainable Complex Query Answering with Shapley Values

• UpdatedFeb 18, 2026
• Python

Code Samples Validation (v2 Dashboard) - automated testing with centralized reporting based on GitHub Actions, Playwright and Docusaurus

• UpdatedApr 20, 2023
• JavaScript

Predicting Future Collaborations in Community-based Question Answering (CQA) Networks

• UpdatedMay 6, 2017
• R

A code quality assurance tool for Unity 3D.

• UpdatedSep 25, 2020
• C#

Sample code to extract different types of users in CQA in particular context

• UpdatedMay 10, 2017
• Python