Word Similarity From Dictionaries: Inferring Fuzzy Measures From Fuzzy Graphs

Word Similarity From Dictionaries: Inferring Fuzzy Measures From Fuzzy Graphs

Torra, Vicenç;Narukawa, Yasuo;
international journal of computational intelligence systems 2008 Vol. 1 pp. -
253
torra2008wordinternational

Abstract

The computation of similarities between words is a basic element of information retrieval systems, when retrieval is not solely based on word matching. In this work we consider a measure between words based on dictionaries. This is achieved assuming that a dictionary is formalized as a fuzzy graph. We show that the approach permits to compute measures not only for pairs of words but for sets of them.

Citation

ID: 74984
Ref Key: torra2008wordinternational
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
74984
Unique Identifier:
f8d7ed32642cb53b61e78271c781f5d7
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet