KG-demo-for-movie
Movie Q&A
A knowledge graph-based question answering system for movies
从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。
1k stars
40 watching
422 forks
Language: Python
last commit: about 4 years agoLinked from 1 awesome list
knowledge-graphquestion-answering
husthuke/awesome-knowledge-graphRelated projects:
| Repository | Description | Stars |
|---|---|---|
 makarandtapaswi/movieqa_cvpr2016 | This project explores question-answering in movies using various machine learning approaches. | 80 |
 liberai/nspm | A system for using deep learning to answer questions based on knowledge graphs | 225 |
 wklken/stackoverflow-py-top-qa | A collection of Python-related questions and answers from Stack Overflow, with some answers translated into Chinese. | 856 |
 mmz-001/knowledge_gpt | An application that utilizes language models and machine learning to provide instant citations and answers from uploaded documents. | 1,624 |
 pkhungurn/talking-head-anime-demo | Creates anime characters with realistic head movements from single images or webcam feeds using deep learning and computer vision techniques. | 2,001 |
 laymonage/kbbi-python | A Python module providing access to the Indonesian Online Dictionary | 82 |
 accenture/ampligraph | A Python library for training models on knowledge graphs to predict links between concepts | 2,162 |
 kenneth-wong/scenegraph_mem | Research software implementing scene graph generation methods from CVPR 2019 paper | 4 |
 wordweb/langchain-chatglm-and-tigerbot | Develops a knowledge-based question answering application using Open Source models like ChatGLM and TigerBot | 105 |
 zygmuntz/kaggle-stackoverflow | Predicting whether closed questions on Stack Overflow are similar to others in their class | 46 |
 kornai/4lang | A software toolkit for creating concept graphs from text and dictionaries | 37 |
 pku-yuangroup/video-bench | Evaluates and benchmarks large language models' video understanding capabilities | 121 |
 zcyang/imageqa-san | This project provides code for training image question answering models using stacked attention networks and convolutional neural networks. | 108 |
 mikegu721/xiezhibenchmark | An evaluation suite to assess language models' performance in multi-choice questions | 93 |
 kingsgeocomp/code-camp | An interactive Jupyter notebook series teaching Python programming basics to non-experts. | 16 |