人工智能-自然语言处理-信息抽取

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文本信息抽取

抽取文本中具有特定意义的实体，当前已支持合同领域的文本信息抽取。如需更多实体类型的定制化抽取，请使用NLP自学习平台。
如有私有化部署（本地部署软件）需求，及商务问题，请联系：nlp-support@list.alibaba-inc.com

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产品优势

接口易用

标准化接口封装，大大降低研发人力投入

稳定可靠

服务可用性高达 99.9%，根据调用量动态调整，支持上亿量级的调用及数据监控

高效精准

通过多年的语料及算法研发积累，可在短时间内分析海量文本，帮助客户更好更精确的挖掘出文本价值

海量数据建模

基于大量的真实数据反馈建立分析模型，提升模型的精度和适配性

适用场景

审核审计

协助合同审阅及录入工作，快速完成数据的识别及录入

搜索&导航

从非结构化信息中抽取的实体与关系，可用于建立语义搜索与导航系统

知识库构建

基于抽取的结构化实体与关系，可建立知识库问答系统

审核审计

协助合同审阅及录入工作，快速完成数据的识别及录入

搜索&导航

从非结构化信息中抽取的实体与关系，可用于建立语义搜索与导航系统

知识库构建

基于抽取的结构化实体与关系，可建立知识库问答系统

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更多产品与服务

NLP自学习平台

支持文本实体抽取、文本分类等NLP定制化算法能力，用户无需拥有丰富的算法背景，仅需标注或上传适量文档数据，即可通过平台快速创建算法模型并使用。

了解更多

商品评价解析

基于电商行业的大量语料研发，对消费者历史评价和新增评价的商品维度属性自动解析，将文本转化为结构化属性字段，高效甄别正负面评价，同时根据情感强烈程度进行-1分~1分的打分，可统计可分析，大幅度节省客服人工。

了解更多

多语言分词

将连续的自然语言文本，切分成具有语义合理性和完整性的词汇序列，同时保持对数据、模型的不断迭代更新，目前支持简体中文、英文及泰文。

了解更多

命名实体

命名实体服务可以帮助您快速识别文本中的实体，进而挖掘各实体间的关系，目前主要针对电商领域，识别品牌、产品、型号等，同时也包括一些通用领域实体如人名、地名、机构名、时间日期等。