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Improving Interpretability of Word Embeddings by Generating Definition
  and Usage

Improving Interpretability of Word Embeddings by Generating Definition and Usage

12 December 2019
Haitong Zhang
Yongping Du
Jiaxin Sun
Qingxia Li
ArXivPDFHTML

Papers citing "Improving Interpretability of Word Embeddings by Generating Definition and Usage"

2 / 2 papers shown
Title
A Scalable Space-efficient In-database Interpretability Framework for
  Embedding-based Semantic SQL Queries
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries
P. Kudva
R. Bordawekar
Apoorva Nitsure
30
0
0
23 Feb 2023
IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words
  and Their Semantic Representations
IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations
Damir Korenčić
Ivan Grubišić
24
3
0
13 May 2022
1