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Beyond Six Digits : Automated Tariff Line HS Transposition Using Natural Language Processing / World Trade Organization

WTO iLibrary Available online

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Format:
Book
Government document
Author/Creator:
World Trade Organization, author.
Contributor:
SourceOECD (Online service)
Language:
English
Subjects (All):
Economic research and trade policy analysis.
Physical Description:
1 online resource (30 pages)
Place of Publication:
WTO, 2025.
System Details:
data file
Summary:
This paper explores the application of Natural Language Processing (NLP) techniques to automate Harmonized System (HS) tariff line transposition, employing a three-stage process: unique 1:1 tariff code matching (Round 1), exact description matching (Round 2), and "smart" description matching (Round 3) using Artificial Intelligence (AI) and lexical similarity methods paired with harmonized 6-digit concordance and cosine similarity. Similarity is calculated using either Term Frequency Inverse Document Frequency (TF-IDF) vectors or Sentence-BERT (SBERT) embeddings, comparing two scenarios: a straightforward case (Economy A) with standardized descriptions, and a complex case (Economy B), with more detailed technical descriptions.
ISBN:
9789287078391
Access Restriction:
Restricted for use by site license.

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