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A software elder converses with the text: A computational narrative project in information retrieval, machine learning, and communication theory.

机译:一位软件老将与本文交谈:信息检索,机器学习和通信理论方面的计算叙事项目。

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摘要

Search engines, databases, and expert systems are classes of technological mechanisms designed to penetrate and extract information from archives of (primarily textual) information. In order to fulfill users' retrieval objectives, such systems provide (and impose) formal models for converting the mass of archived information into explicitly structured forms. This structure then enables users to extract aspects of knowledge relevant to very specific needs. However, all eventual success in retrieving precise and sufficient relevant information from such archives is always in proportion to users' ability to learn query strategies that must be expressed in terms of the formal languages within which such systems operate. That is, to be effective, most retrieval systems presuppose familiarity both with the internal dynamics of the textual archive, as well as with the formal interfaces, techniques, and languages they require for manipulating and navigating within them. These could be called text-level expertise and system-level expertise, but is a more informal type of conceptual matching possible?; The current work borrows concepts from information retrieval, machine learning, and communication theory in an attempt to implement the kind of process that results from the exchange of shared knowledge and shared experiences similar to what emerges from the dialogical encounter with an elder. There is no attempt to duplicate this human elder encounter in all respects, but acknowledging this impossibility, one can still attempt to ask what happens in the exchange of ideas with an elder simulated by software. More specifically, from the standpoint of execution, we may ask, "How does this cyclical dialogue become implemented?" and from the standpoint of the writer, we may ask, "What does the creative idea-exchanging dialogue comprise?", "How is it perceived?", and "How does it influence the writing process?" These are the questions underlying the dissertation.
机译:搜索引擎,数据库和专家系统是设计用来从(主要是文本的)信息档案中渗透和提取信息的技术机制。为了实现用户的检索目标,此类系统提供了(并强加了)正式模型,用于将大量已归档信息转换为明确结构化的形式。然后,该结构使用户能够提取与非常特定的需求有关的知识。但是,从此类档案库中获取准确且足够的相关信息的所有最终成功,总是与用户学习查询策略的能力成正比的,查询策略必须以此类系统所使用的形式语言来表达。也就是说,有效的是,大多数检索系统都以熟悉文本存档的内部动态以及它们在其中进行操作和导航所需的正式界面,技术和语言为前提。这些可以称为文本级专业知识和系统级专业知识,但是是否可以采用非正式形式的概念匹配?当前的工作借鉴了信息检索,机器学习和通信理论中的概念,试图实现一种过程,该过程是由共享知识和共享经验的交换所产生的,类似于与长辈对话中出现的情况。没有试图在所有方面复制这种人类长者遭遇的尝试,但是承认这一可能性,人们仍然可以尝试询问与软件模拟的长者交换思想时会发生什么。更具体地说,从执行的角度来看,我们可能会问:“这种周期性对话是如何实现的?”从作者的角度来看,我们可能会问:“交换创意的对话包括什么?”,“感觉如何?”和“它如何影响写作过程?”这些是论文所要解决的问题。

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