#conceptembedding search results
"technique for integrating knowledge from two large scale knowledge bases of different structure (Wikipedia,and Probase) to learn #conceptembedding-s" evaluated on "analogical reasoning" & "concept categorization" #NLProc #SemanticParsing #DistributedSemantics #KnowledgeGraph
[1801.00388] Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases bit.ly/2CdZABx #AI #DeepLearning #MachineLearning #DataScience
![MikeTamir's tweet image. [1801.00388] Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases bit.ly/2CdZABx #AI #DeepLearning #MachineLearning #DataScience](https://pbs.twimg.com/media/DXK1zDdWAAAVIn4.jpg)
thanks @Hironsan13 - any idea of the latest of #conceptsearch with ElasticSearch? #conceptembedding See 1. slideshare.net/lucidworks/imp… for Solr. 2. arxiv.org/abs/1903.03995 3. arxiv.org/abs/1801.00388
"multi-label zero-shot learning (ZSL) framework that can deal with a number of challenging problems including #conceptembedding regardless of application domains" #NLProc beyond #wordembedding me:exploring development of #controlledvocabulary backed by #DistributionalSemantics
Multi-Label Zero-Shot Learning via Concept Embedding arxiv.org/abs/1606.00282… #arxiv
"Building #ConceptEmbedding-s" #NLProc #KnowledgeGraph Bingo! Thanks Daniel. Will study with high expectations! And join Slack channels.
"technique for integrating knowledge from two large scale knowledge bases of different structure (Wikipedia,and Probase) to learn #conceptembedding-s" evaluated on "analogical reasoning" & "concept categorization" #NLProc #SemanticParsing #DistributedSemantics #KnowledgeGraph
[1801.00388] Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases bit.ly/2CdZABx #AI #DeepLearning #MachineLearning #DataScience
thanks @Hironsan13 - any idea of the latest of #conceptsearch with ElasticSearch? #conceptembedding See 1. slideshare.net/lucidworks/imp… for Solr. 2. arxiv.org/abs/1903.03995 3. arxiv.org/abs/1801.00388
"multi-label zero-shot learning (ZSL) framework that can deal with a number of challenging problems including #conceptembedding regardless of application domains" #NLProc beyond #wordembedding me:exploring development of #controlledvocabulary backed by #DistributionalSemantics
Multi-Label Zero-Shot Learning via Concept Embedding arxiv.org/abs/1606.00282… #arxiv
"technique for integrating knowledge from two large scale knowledge bases of different structure (Wikipedia,and Probase) to learn #conceptembedding-s" evaluated on "analogical reasoning" & "concept categorization" #NLProc #SemanticParsing #DistributedSemantics #KnowledgeGraph
[1801.00388] Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases bit.ly/2CdZABx #AI #DeepLearning #MachineLearning #DataScience
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