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Learning Concept Embeddings for Efficient Bag-of-Concepts Densification
v1v2 (latest)

Learning Concept Embeddings for Efficient Bag-of-Concepts Densification

Knowledge and Information Systems (KAIS), 2017
10 February 2017
Walid Shalaby
Wlodek Zadrozny
ArXiv (abs)PDFHTML

Papers citing "Learning Concept Embeddings for Efficient Bag-of-Concepts Densification"

2 / 2 papers shown
Weakly Supervised Prototype Topic Model with Discriminative Seed Words:
  Modifying the Category Prior by Self-exploring Supervised Signals
Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised SignalsSoft Computing - A Fusion of Foundations, Methodologies and Applications (Soft Computing), 2021
Bing Wang
Yue Wang
Ximing Li
Jihong Ouyang
210
4
0
20 Nov 2021
Neural Vector Conceptualization for Word Vector Space Interpretation
Neural Vector Conceptualization for Word Vector Space Interpretation
Robert Schwarzenberg
Lisa Raithel
David Harbecke
LLMSVVLM
148
9
0
02 Apr 2019
1
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