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Concept2vec: Metrics for Evaluating Quality of Embeddings for
  Ontological Concepts
v1v2v3 (latest)

Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts

12 March 2018
Faisal Alshargi
Saeedeh Shekarpour
Tommaso Soru
A. Sheth
    3DV
ArXiv (abs)PDFHTMLGithub (14★)

Papers citing "Concept2vec: Metrics for Evaluating Quality of Embeddings for Ontological Concepts"

5 / 5 papers shown
Do Similar Entities have Similar Embeddings?
Do Similar Entities have Similar Embeddings?Extended Semantic Web Conference (ESWC), 2023
Nicolas Hubert
Heiko Paulheim
Armelle Brun
D. Monticolo
257
12
0
16 Dec 2023
Capturing Knowledge of Emerging Entities From Extended Search Snippets
Capturing Knowledge of Emerging Entities From Extended Search SnippetsAAAI Spring Symposium Combining Machine Learning with Knowledge Engineering (CMLKE), 2021
S. C. Ngwobia
Saeedeh Shekarpour
Faisal Alshargi
166
0
0
17 Mar 2021
OWL2Vec*: Embedding of OWL Ontologies
OWL2Vec*: Embedding of OWL Ontologies
Jiaoyan Chen
Pan Hu
Ernesto Jiménez-Ruiz
Ole Magnus Holter
Denvar Antonyrajah
Ian Horrocks
3DV
287
170
0
30 Sep 2020
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale
  Medical Term Similarity Datasets Have the Answer!
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!AAAI Conference on Artificial Intelligence (AAAI), 2020
Claudia Schulz
Damir Juric
AI4TS
177
10
0
24 Mar 2020
Syntactic Interchangeability in Word Embedding Models
Syntactic Interchangeability in Word Embedding Models
Daniel Hershcovich
Assaf Toledo
Alon Halfon
Noam Slonim
144
5
0
01 Apr 2019
1
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