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An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 8 (2022)
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Abstract:
Classification problems are common activities in many different domains and supervised learning algorithms have shown great promise in these areas. The classification of goods in international trade in Brazil represents a real challenge due to the complexity involved in assigning the correct category codes to a good, especially considering the tax penalties and legal implications of a misclassification. This work focuses on the training process of a classifier based on bidirectional encoder representations from transformers (BERT) for tax classification of goods with MCN codes which are the official classification system for import and export products in Brazil. In particular, this article presents results from using a specific Portuguese-language-pretrained BERT model, as well as results from using a multilingual-pretrained BERT model. Experimental results show that Portuguese model had a slightly better performance than the multilingual model, achieving an MCC 0.8491, and confirms that the classifiers could be used to improve specialists’ performance in the classification of goods.
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Keyword:
BERT; multilingual BERT; natural language processing; NCM classification; NLP; Portuguese BERT; transformers
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URL: https://doi.org/10.3390/bdcc6010008
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62 |
言語景観と言語政策に関する考察 : 中国と日本を例として ; Linguistic Landscape and Language Policy : A Case Study of China and Japan
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63 |
Ensuring Equity and Excellence for English Learners: An Annotated Bibliography for Research, Policy, and Practice
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In: Annotated Bibliographies (2022)
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The Effects of Charter Schools on Early Foreign Language Education in Public Schools
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In: Senior Honors Theses (2022)
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65 |
Uplifting the Perspectives and Preferences of the Families of English Learners in Los Angeles Unified School District and Charter Schools: Findings from a Representative Poll
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In: Education and Policy Briefs (2022)
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Linguistically and Culturally Responsive Teaching for LL in the Mainstream Classroom: Planning Tools and Other Classroom Resources
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In: Culminating Experience Projects (2022)
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Supporting English Language Learners: Preparing Content Area Teachers to Promote Academic Achievement among Culturally and Linguistically Diverse Learner Populations.
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In: Culminating Experience Projects (2022)
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70 |
Win, Win ! Finding Experiences for Preservice Teachers while addressing the Summer Reading Gap
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In: National Youth Advocacy and Resilience Conference (2022)
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English is Not Dead! Long Live English: Teaching the Evolution of English and Inclusive Communication Via Online, Face to Face or Hybrid Instruction
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In: Georgia International Conference on Information Literacy (2022)
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72 |
Language learning through interaction: Online and in the classroom
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In: The Coastal Review: An Online Peer-reviewed Journal (2022)
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73 |
An Application of Egan's Theory: Teaching As storytelling
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In: National Youth Advocacy and Resilience Conference (2022)
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Preparing for multiculturalism: An analysis of the perceived preparedness of pre-service teachers for teaching in diverse classrooms
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In: Honors College Theses (2022)
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75 |
Courageous Conversations: Transformational Leadership through Empathy
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In: National Youth Advocacy and Resilience Conference (2022)
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Reimagining Family Engagement: A Drive-Thru Bilingual Family Literacy & Math Program
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In: National Youth Advocacy and Resilience Conference (2022)
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Subverting Summer Slide - ELL Camp Program
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In: National Youth Advocacy and Resilience Conference (2022)
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Trusting the Process: Using Oral Histories to Encourage the Development of Teachers’ Socio-political Consciousness
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In: Georgia International Conference on Information Literacy (2022)
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MUROJAAT USULLARINING SHAKLLANISH OMILLARI VA ULARNING O‘ZIGA XOS XUSUSIYATLARI ... : FORMATION FORMS OF APPLICATION METHODS AND THEIR SPECIFIC CHARACTERISTICS ...
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Study 1 - Fred and his dog (revised with author vs respondent conditions) ...
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