浪荡子 发表于 2025-3-23 11:37:54

https://doi.org/10.1007/978-3-030-95806-0ne concept in a variety of ways. This variability raises the question of how the computer can know that words a person uses are related to words found in stored text? Any computer-based system that employs a natural, rather than an artificial, language in its dialogue with human users is faced with

形上升才刺激 发表于 2025-3-23 17:36:28

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figure 发表于 2025-3-23 20:07:18

https://doi.org/10.1007/978-3-030-95427-7nipulation of text, the demand for tools to manage and to structure such text will also grow. We have argued that manual approaches to structuring textual knowledge, though useful and promising, cannot keep pace, or be economically justified. In reviewing past attempts at automatic term association,

受辱 发表于 2025-3-24 00:16:34

https://doi.org/10.1007/978-3-031-41249-3ompare words and produce list of similar words. Visual inspection of these lists gives the intuitive impression that the words on this lists are related. The purpose of this chapter is to demonstrate in some objective manner that the relationships extracted are what are commonly considered considere

搏斗 发表于 2025-3-24 03:13:46

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有恶意 发表于 2025-3-24 08:37:24

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hidebound 发表于 2025-3-24 13:12:23

The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/e/image/319403.jpg

allude 发表于 2025-3-24 15:52:13

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平息 发表于 2025-3-24 19:29:55

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PALMY 发表于 2025-3-25 02:21:56

Explorations in Automatic Thesaurus Discovery978-1-4615-2710-7Series ISSN 0893-3405
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查看完整版本: Titlebook: Explorations in Automatic Thesaurus Discovery; Gregory Grefenstette Book 1994 Springer Science+Business Media New York 1994 Thesaurus.arti