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Chinese Grammatical Error Diagnosis Based on RoBERTa-BiLSTM-CRF Model
Chinese Grammatical Error Diagnosis (CGED) is a natural language processing task for the NLPTEA6 workshop.
Chinese Grammatical Errors Diagnosis System Based on BERT at NLPTEA-2020 CGED Shared Task
The detection stage is a sequential labelling model based on BiLSTM-CRF and BERT contextual word representation.
期货领域知识图谱构建(Construction of Knowledge Graph in Futures Field)
“期货领域是数据最丰富的领域之一, 本文以商品期货的研究报告为数据来源构建了期货领域知识图谱(Commodity Futures Knowledge Graph, CFKG)。以期货产品为核心, 确立了概念分类体系及关系描述体系, 形成图谱的概念层;在MHS-BIA与GPN模型的基础上, 通过领域专家指导对242万字的研报文本进行标注与校对, 形成了CFKG数据层, 并设计了可视化查询系统。所构建的CFKG包含17, 003个农产品期货关系三元组、13, 703种非农产品期货关系三元组, 为期货领域文本分析、舆情监控和推理决策等应用提供知识支持。”
Automatic Grammatical Error Detection for Chinese based on Conditional Random Field
In the process of learning and using Chinese, foreigners may have grammatical errors due to negative migration of their native languages.
