AI + 合同管理：NLP 技术如何实现合同自动读、自动审、自动预警？

# 合同实体识别示例
import spacy

# 加载NLP模型
nlp = spacy.load("zh_core_web_sm")

# 处理合同文本
contract_text = "本合同由甲方：某某科技有限公司与乙方：某某供应商签订，合同金额为100万元人民币..."
doc = nlp(contract_text)

# 提取命名实体
for ent in doc.ents:
    print(f"实体: {ent.text}, 标签: {ent.label_}, 描述: {spacy.explain(ent.label_)}")

// 合同分析服务接口示例
public interface IContractAnalysisService
{
    // 提取合同关键信息
    Task ExtractContractInfoAsync(string contractText);
    
    // 分析合同风险
    Task AnalyzeRisksAsync(ContractInfo contractInfo);
    
    // 生成审查报告
    Task GenerateReviewReportAsync(ContractInfo contractInfo, 
                                               RiskAnalysisResult riskResult);
}

// 实现基于NLP的合同分析服务
public class NLPContractAnalysisService : IContractAnalysisService
{
    private readonly INLPExtractor _nlpExtractor;
    private readonly IRiskAssessmentEngine _riskEngine;
    
    public NLPContractAnalysisService(INLPExtractor nlpExtractor, 
                                    IRiskAssessmentEngine riskEngine)
    {
        _nlpExtractor = nlpExtractor;
        _riskEngine = riskEngine;
    }
    
    public async Task ExtractContractInfoAsync(string contractText)
    {
        // 使用NLP技术提取合同信息
        var entities = await _nlpExtractor.ExtractEntitiesAsync(contractText);
        var clauses = await _nlpExtractor.ExtractClausesAsync(contractText);
        
        return new ContractInfo
        {
            Entities = entities,
            Clauses = clauses,
            OriginalText = contractText
        };
    }
}