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首页> 外文会议>9th International conference on language resources and evaluation >Integration of Workflow and Pipeline for Language Service Composition
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Integration of Workflow and Pipeline for Language Service Composition

机译：整合工作流和管道用于语言服务组合

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Integrating language resources and language services is a critical part of building natural language processing applications. Service workflow and processing pipeline are two approaches for sharing and combining language resources. Workflow languages focus on expressive power of the languages to describe variety of workflow patterns to meet users' needs. Users can combine those language services in service workflows to meet their requirements. The workflows can be accessible in distributed manner and can be invoked independently of the platforms. However, workflow languages lack of pipelined execution support to improve performance of workflows. Whereas, the processing pipeline provides a straightforward way to create a sequence of linguistic processing to analyze large amounts of text data. It focuses on using pipelined execution and parallel execution to improve throughput of pipelines. However, the resulting pipelines are standalone applications, i.e., software tools that are accessible only via local machine and that can only be run with the processing pipeline platforms. In this paper we propose an integration framework of the two approaches so that each offests the disadvantages of the other. We then present a case study wherein two representative frameworks, the Language Grid and UIMA, are integrated.
机译：集成语言资源和语言服务是构建自然语言处理应用程序的关键部分。服务工作流程和处理流水线是共享和结合语言资源的两种方法。工作流程语言专注于描述各种工作流程模式以满足用户需求的表现力。用户可以将这些语言服务组合在服务工作流程中以满足其要求。工作流可以以分布式方式访问，可以独立于平台调用。但是，工作流语言缺乏流水线执行支持，以提高工作流的性能。然而，处理管道提供了一种直接的方式来创建一个语言处理序列，以分析大量文本数据。它专注于使用流水线执行和并行执行来提高管道吞吐量。但是，生成的流水线是独立的应用程序，即，只能通过本地计算机访问的软件工具，并且只能使用处理管道平台运行。在本文中，我们提出了两种方法的一体化框架，使每个缺点是另一个。然后，我们呈现一个案例研究，其中包括两个代表性框架，语言网格和UIMA。

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