摘要：【中文】本申请提供一种意图识别方法、装置、电子设备及可读存储介质，涉及语言处理技术领域。该方法包括：获取待识别的输入文本；通过语言模型对所述输入文本进行词嵌入向量转换，获得所述输入文本对应的第一语义向量；通过特征提取模型对所述第一语义向量进行语义特征提取，获得所述输入文本对应的第二语义向量；通过意图预测模型基于所述第二语义向量确定所述输入文本对应的意图类别。该方案通过三个模型相互配合，依次来对输入文本进行语义特征提取，使得其能够获取更多的输入文本中的上下文信息以及更深的语义关系，得到更多的有效信息，从而可以有效提高对输入文本的意图预测的准确性。 【EN】The application provides an intention identification method, an intention identification device, electronic equipment and a readable storage medium, and relates to the technical field of language processing. The method comprises the following steps: acquiring an input text to be identified; performing word embedding vector conversion on the input text through a language model to obtain a first semantic vector corresponding to the input text; semantic feature extraction is carried out on the first semantic vector through a feature extraction model, and a second semantic vector corresponding to the input text is obtained; and determining an intention category corresponding to the input text based on the second semantic vector through an intention prediction model. According to the scheme, the three models are matched with each other, semantic features of the input text are extracted in sequence, so that more context information and deeper semantic relations in the input text can be obtained, more effective information is obtained, and the accuracy of the intention prediction of the input text can be effectively improved.

摘要：【中文】本申请涉及一种服务资源匹配参考数据确定方法、装置、设备和存储介质，所述方法包括：获取当前用户的标签信息；根据当前用户的标签信息在预设信息库中查找与当前用户关联的相关用户，以及相关用户对应的历史成交服务资源数据；根据对应的历史成交服务资源数据，获取相关用户对历史成交服务资源数据的评分数据，获取当前用户与相关用户的特征相似度数据；根据特征相似度数据以及评分数据，将对应的历史成交服务资源数据与当前用户进行匹配，获得当前用户的服务资源匹配结果。通过上述方法获得的服务资源匹配参考数据由于整个过程由计算机完成，可以提高效率，且避免由人工分析导致的错误，提高用于匹配的参考数据的准确率。 【EN】The application relates to a method, a device, equipment and a storage medium for determining service resource matching reference data, wherein the method comprises the following steps: acquiring label information of a current user; searching related users related to the current user and historical trading service resource data corresponding to the related users in a preset information base according to the label information of the current user; acquiring grading data of the historical transaction service resource data of the related user according to the corresponding historical transaction service resource data, and acquiring feature similarity data of the current user and the related user; and matching the corresponding historical transaction service resource data with the current user according to the characteristic similarity data and the evaluation data to obtain a service resource matching result of the current user. The service resource matching reference data obtained by the method is completed by a computer in the whole process, so that the efficiency can be improved, the errors caused by manual analysis can be avoided, and the accuracy of the reference data for matching is improved.

摘要：【中文】本申请涉及一种关键词抽取方法、装置、计算机设备和存储介质，将待处理文本数据输入至利用携带集合编码的序列标注样本训练得到的关键词抽取网络模型，能够通过标准关键词充分发掘上下文的语义相关性，提高了关键词抽取的准确率。本申请还提供一种话术评分方法、装置、计算机设备和存储介质，通过将待评分话术输入已训练的关键词抽取网络模型，能够针对不同业务场景，抽取出只具备业务相关的话术中的关键词，提高了话术评分的准确性。本申请还提供一种话术推荐方法、装置、计算机设备和存储介质，基于由训练好的关键词抽取网络模型得到的话术评分，结合用户意图向客户推荐话术，能够更具针对性推荐话术，提高应答话术的标准化程度。 【EN】The application relates to a keyword extraction method, a keyword extraction device, computer equipment and a storage medium, wherein text data to be processed is input to a keyword extraction network model obtained by training sequence labeling samples carrying set codes, the semantic relevance of contexts can be fully discovered through standard keywords, and the accuracy of keyword extraction is improved. The application also provides a method and a device for grading the dialect, computer equipment and a storage medium, the keywords in the dialect only having business correlation can be extracted according to different business scenes by inputting the dialect to be graded into the trained keyword extraction network model, and the accuracy of grading the dialect is improved. The application also provides a speech recommendation method and device, computer equipment and a storage medium, the speech score obtained by the trained keyword extraction network model is based on, the speech is recommended to the client by combining the intention of the user, the speech can be recommended more specifically, and the standardization degree of answering the speech is improved.

摘要：【中文】本发明提供了一种覆土油罐的建设施工方法及吊装装置以及使用方法，该施工方法包括：a、在拟定区域的地面上挖设深坑；在深坑的底部浇筑混凝土平台；b、将钢储罐的拼焊件吊装至混凝土平台上，并搭建浇筑模板；c、向浇筑模板上浇筑混凝土；d、将其内部的浇筑模板拆除；e、在混凝土平台上拼焊钢储罐的罐底和钢储罐的最上一圈侧壁；在拼焊好的钢储罐的最上一圈侧壁上，拼焊钢储罐的罐顶；f、在罐顶上安装吊装装置；g、将装有罐顶的钢储罐的最上一圈的侧壁整体抬高，使用吊装装置将钢储罐的其他拼焊件吊装至钢储罐的相应位置进行拼焊工作；h、重复步骤i，直至完成钢储罐的侧壁拼焊工作；i、最后将临时出入口用混凝土封堵。 【EN】The invention provides a construction method, a hoisting device and a use method of an earth-covered oil tank, wherein the construction method comprises the following steps: a. digging a deep pit on the ground of the planned area; pouring a concrete platform at the bottom of the pit; b. hoisting the tailor-welded part of the steel storage tank to a concrete platform, and building a pouring template; c. pouring concrete on the pouring template; d. removing the pouring template inside the steel tube; e. welding the bottom of the steel storage tank and the side wall of the uppermost circle of the steel storage tank on the concrete platform in a splicing manner; welding the top of the steel storage tank on the side wall of the uppermost circle of the welded steel storage tank; f. installing a hoisting device on the tank top; g. integrally lifting the side wall of the uppermost circle of the steel storage tank with the tank top, and hoisting other tailor-welded parts of the steel storage tank to corresponding positions of the steel storage tank by using a hoisting device to perform tailor-welding work; h. repeating the step i until the side wall tailor welding work of the steel storage tank is completed; i. and finally, plugging the temporary access with concrete.