Topic: cqa Goto Github
Some thing interesting about cqa
Some thing interesting about cqa
cqa,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。
Organization: bdbc-kg-nlp
cqa,Vega-Lite Chart Dataset and NL Generation Framework using LLMs
User: hyungkwonko
Home Page: https://hyungkwonko.info/chart-llm/
cqa,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.
User: kamyarghajar
cqa,Official PyTorch implementation for ״ lassification-Regression for Chart Comprehension״
User: levymsn
Home Page: https://vision.huji.ac.il/crct/
cqa,Sample code to extract different types of users in CQA in particular context
User: longtle
cqa,Predicting Future Collaborations in Community-based Question Answering (CQA) Networks
User: mgiridhar
cqa,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
User: newbe36524
Home Page: https://www.newbe.pro
cqa,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
User: newbe36524
Home Page: https://www.newbe.pro
cqa,A code quality assurance tool for Unity 3D.
Organization: produktivkeller
cqa,SoftSVM implementation
Organization: ritual-uh
cqa,QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites
User: zhenv5
Home Page: https://arxiv.org/abs/1804.00109
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