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Argument Wangchanberta
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Argument Wangchanberta

Developed by pitiwat
An NLP model for extracting structured parameters from Thai text
Sequence Labeling
Transformers
#Thai parameter extraction#Text information extraction#Multilingual processing
Downloads 15
Release Time : 4/14/2022

Model Overview

This model is specifically designed to process Thai text, capable of identifying and extracting key parameters and entity information in the text, and supporting multiple downstream tasks.

Model Features

Thai optimization
Optimized specifically for Thai language features (such as no space separation and complex word forms)
Multi-parameter joint extraction
Supports simultaneous extraction of multiple related parameters in the text
Domain adaptation
Can adapt to parameter extraction requirements in different domains through fine-tuning

Model Capabilities

Thai text parsing
Entity recognition
Relationship extraction
Structured output generation

Use Cases

Business document processing
Extraction of key contract terms
Automatically extract key parameters such as amounts, dates, and responsible parties from Thai commercial contracts
The accuracy rate can reach 85% (inferred value)
Customer service
Complaint ticket classification
Extract parameters such as problem types and product models from customer complaint texts
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