Tailoring Lexical Choice to the User’s Vocabulary in Multimedia Explanation Generation

Tailoring Lexical Choice to the User’s Vocabulary in Multimedia Explanation Generation
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在多媒体解释生成中根据用户的词汇量定制词汇选择

DOI:
10.3115/981574.981605
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发表时间:
1993
影响因子:
7.5
通讯作者:
M. Tanenblatt
M. Tanenblatt
中科院分区:
工程技术1区
文献类型:
--
作者:
K. McKeown;J. Robin;M. Tanenblatt

文献摘要

被引文献

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在本文中,我们讨论了COMET(协调多媒体解释测试床)中使用的不同策略,选择用户熟悉的单词。当图片不能用来消除一个词或短语的歧义时,COMET有四种策略来避免未知词。我们给这些策略的例子,并显示它们是如何在彗星实施。
In this paper, we discuss the different strategies used in COMET (COordinated Multimedia Explanation Testbed) for selecting words with which the user is familiar. When pictures cannot be used to disambiguate a word or phrase, COMET has four strategies for avoiding unknown words. We give examples for each of these strategies and show how they are implemented in COMET.