Topic: kgqa Goto Github
Some thing interesting about kgqa
Some thing interesting about kgqa
kgqa,The code of An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering
User: aannonymouuss
kgqa,A dataset with KGQA results verbalization
Organization: asknowqa
kgqa,Machine-generated KGQA dataset for DBLP scholarly knowledge graph
User: awalesushil
kgqa,[EMNLP Findings 2022] ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
User: cmavro
Home Page: https://aclanthology.org/2022.findings-emnlp.181/
kgqa,[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs
User: cmavro
kgqa,Insightful Tutorials and Papers about Knowledge Graphs
User: heathersherry
kgqa,Dataset Resplitting for Generalization in KGQA. See also https://github.com/semantic-systems/KGQA-datasets
Organization: kgqa
kgqa,You can find the most recent KGQA benchmark numbers from publications here.
Organization: kgqa
Home Page: https://kgqa.github.io/leaderboard/
kgqa,🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Organization: liberai
Home Page: http://aksw.org/Projects/NeuralSPARQLMachines
kgqa,Question Answering Datasets evaluation scripts and leaderboards
User: mihailsalnikov
kgqa,Code and notebooks and data for the paper "Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models"
User: navidmdn
kgqa,医药知识图谱自动问答系统实现,包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别(基于词典+BERT_CRF)、实体链接(Sentence-BERT做匹配)、意图识别(基于提问词+领域词词典)。
User: pen-ho
kgqa,MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs
User: tan92hl
kgqa,一个关于血色衣冠的对话机器人, 基于 Rasa, 可语音与机器人对话
User: vpegasus
kgqa,1.4亿通用知识图谱问答
User: wangjiezju1988
Home Page: https://www.zq-ai.com/#/kgqa
kgqa,Repository for the paper: "Improving the Question Answering Quality using Answer Candidate Filtering based on Natural-Language Features" @ ISKE 2021
Organization: wse-research
kgqa,Python client for ZeroLink
Organization: zerolink-io
Home Page: https://zerolink.io
kgqa,Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
User: zhenjia2017
Home Page: https://exaqt.mpi-inf.mpg.de/
kgqa,Updated EXAQT code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
User: zhenjia2017
Home Page: http://exaqt.mpi-inf.mpg.de
kgqa,Code for Railway Transportation KGQA project
User: zhenjia2017
kgqa,OpenKS - 领域可泛化的知识学习与计算引擎
Organization: zju-openks
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