Top Tweets for #kgqa
Do you know any ontologies for #kgqa (#questionAnswering datasets for #knowledgeGraphs)? https://t.co/hDxjrbpgbu
@Ontotext contributed a #text2sparql (#NLQ to #SPARQL) module to #LangChain using #LLM for #KGQA:
https://t.co/lT6GuvcpCg
Highly relevant to @enrichMyData use cases!
@OntotextGraphDB features for natural language querying (#NLQ) of your #KG (#KGQA) using #LLM and #RAG: see in #AI in Action series https://t.co/UmTA78OAYY . Strong relation to @enrichMyData use cases.
@enrichmydata 3. #KGQA using #text2sparql (#NLQ to #SPARQL) with #LangChain and @OntotextGraphDB . Covers queries that #RAG #LLM cannot https://t.co/lT6GuvcpCg cc @enrichmydata
We are presenting "NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA" in New Orleans on 12/13 at 10:45am.
Great Hall & Hall B1+B2 (level 1)
Poster ID: 2028
Don't miss it!
Paper Link: https://t.co/EGTbX9A5Zw
#NeurIPS23 #KGQA #QA
Join us now for the presentation: "QALD-9-ES: Learn more about the Spanish dataset for question answering systems." #SemanticsConf
Are you working on Knowledge Graph Question Answering?
Please have a look at this #ISWC2023 Semantic Web Challenge - Scholarly QALD!
Task 1: SciQA: QA of Scholarly KG
Task 2: DBLP-QUAD: KGQA over DBLP KG
https://t.co/zGlSLdHdPl
@iswc_conf
#KGQA #ScholarlyKG #KnowledgeGraph
Call For Participation - Scholarly QALD Challenge at ISWC 2023 - We want to see your Question Answering working on scholarly Knowledge Graphs - Evaluated using Hugging Face 🤗 https://t.co/YoxBE1ZGRw
The Proceedings of #NLIWoD2022 are out now!😎Check out the latest research on #KGQA, #kgConstruction, etc. Also the papers for attending systems of #QALDX challenge are published here: https://t.co/PucVnBW2ed
Join us and talk about #kgqa, #semanticweb, #leaderboard in today's poster session at @lrec2022, the number is #1149. A collaborative work with @Perevalov_A @AnBo_de @Ricardo_Usbeck @Longquan_Jiang
Join us and talk about #kgqa, #semanticweb, #leaderboard in today's poster session at @lrec2022, the number is #1149. A collaborative work with @Perevalov_A @AnBo_de @Ricardo_Usbeck @Longquan_Jiang
Excellent keynote by @pgroth at the #NLIWoD workshop. @eswc_conf #KGQA #LinkedData #QuestionAnswering
"How does the machine understand what the user is asking?" is addressed by @Perevalov_A regarding #multilingual Expected Answer Type classification in this excellent blog post: https://t.co/KcX9a6pqas #DataScience #QuestionAnswering #LinkedData #KGQA #DBpedia #KnowledgeGraph
At #EACL2021, our #researchers proposed a #KnowledgeGraph Question Answering system, #CQA-NMT, that uses a multi-task transformer architecture. Read the paper here – https://t.co/cgE0mb0a7m
#TCSResearch #TCS #KGQA #NLProc #research #researchpaper #SciCommSeptember #SciComm
If your interested in #SemanticSearch, #KGQA and #WebCrawlers check out the blogpost by @BrandenChan! @deepset_ai https://t.co/AEAG14mbHA
I am thrilled to announce that I have successfully defended my PhD thesis with the title "towards complex #questionanswering over #knowledgegraph."
I am very thankful to Prof Lehmann @JLehmann82 for his supervision and showing immense patience with me.
#KGQA
I will be presenting our new #kgqa dataset https://t.co/b9KwD7RZxc in 10mins at #iswc_conf
@SDA_Research @AskNowQA #QuestionAnswering
Co-Authors @debayan Abdelrehman @JLehmann82
After countless restructuring, debates and rewrites, our Introduction to #NeuralNetworks for #KGQA is finally up on arXiv. We hope that it is a good resource for entrants to the field, and not a collection of incoherent rambling.
@lukovnikov Nilesh @__gauravm @JLehmann82 Asja
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs https://t.co/XKWFJRwgQ7
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