Efficient question answering in a hybrid system

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI:10.1109/IJCNN.1991.170447

J. Diederich, D. Long

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引用次数: 5

Abstract

A connectionist model for answering open-class questions in the context of text processing is presented. The system answers questions from different question categories, such as how, why, and consequence questions. The system responds to a question by generating a set of possible answers that are weighted according to their plausibility. Search is performed by means of a massively parallel directed spreading activation process. The search process operates on several knowledge sources (i.e., connectionist networks) that are learned or explicitly built-in. Spreading activation involves the use of signature messages, which are numeric values that are propagated throughout the networks and identify a particular question category (this makes the system hybrid). Binder units that gate the flow of activation between textual units receive these signatures and change their states. That is, the binder units either block the spread of activation or allow the flow of activation in a certain direction. The process results in a pattern of activation that represents a set of candidate answers based on available knowledge sources.<>

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混合系统中的高效问答

在文本处理的背景下，提出了一个回答公开课问题的连接主义模型。该系统回答来自不同问题类别的问题，例如如何、为什么和结果问题。系统通过生成一组可能的答案来回应问题，这些答案根据其合理性进行加权。搜索是通过一个大规模并行的定向扩展激活过程来完成的。搜索过程在几个知识来源(即连接网络)上操作，这些知识来源是学习的或明确内置的。扩展激活涉及到签名消息的使用，签名消息是在整个网络中传播的数字值，并识别特定的问题类别(这使系统混合)。限制文本单元之间激活流的绑定器单元接收这些签名并更改其状态。也就是说，粘合剂单元要么阻止激活的扩散，要么允许激活在一定方向上流动。这个过程产生了一个激活模式，该模式代表了一组基于可用知识来源的候选答案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

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