cerebral-cortex
发表于 2025-3-21 18:03:46
书目名称Explorations in Automatic Thesaurus Discovery影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0319403<br><br> <br><br>书目名称Explorations in Automatic Thesaurus Discovery读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0319403<br><br> <br><br>
malapropism
发表于 2025-3-21 20:49:31
Applications,trate how two knowledge-poor techniques can reinforce each other. Then we show how a deeper exploration of the information extracted by SEXTANT permits the creation of clusters of words along semantic axes. Finally in the last section of this chapter, we organize all the disparate techniques develop
HAVOC
发表于 2025-3-22 00:23:29
0893-3405 pared to those produced bypsychological testing. A method of evaluation using ArtificialSynonyms is tested. Gold Standards evaluation show that techniquessignif978-1-4613-6167-1978-1-4615-2710-7Series ISSN 0893-3405
微枝末节
发表于 2025-3-22 05:01:44
https://doi.org/10.1007/978-3-030-12771-8trate how two knowledge-poor techniques can reinforce each other. Then we show how a deeper exploration of the information extracted by SEXTANT permits the creation of clusters of words along semantic axes. Finally in the last section of this chapter, we organize all the disparate techniques develop
粗糙
发表于 2025-3-22 10:19:25
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 this problem.
衰老
发表于 2025-3-22 15:42:41
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衰老
发表于 2025-3-22 20:05:21
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是他笨
发表于 2025-3-22 23:57:51
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LAY
发表于 2025-3-23 02:49:04
Evaluation,ompare 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 considered as semantic relationships.
tendinitis
发表于 2025-3-23 08:32:44
Conclusion,motivation of this approach: the . problem that affects any computer-based manipulation of text, e.g., information retrieval, filtering, language understanding, human-computer interfaces, machine translation. This problem generated much research in computer-based semantics, a portion of which we reviewed before we presented our system SEXTANT.