Maculate
发表于 2025-3-21 17:46:26
书目名称Natural Language Generation影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0661787<br><br> <br><br>书目名称Natural Language Generation读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0661787<br><br> <br><br>
sphincter
发表于 2025-3-21 23:04:24
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chalice
发表于 2025-3-22 01:59:44
Context-Based Incremental Generation for Dialoguement and routinization result directly from minimisation of lexicon search (and hence speaker’s effort), and how switch of speaker/hearer roles in shared utterances can be seen as a switch between incremental processes directed by different goals, but sharing the same (partial) data structures.
blister
发表于 2025-3-22 06:27:11
Contextual Influences on Near-Synonym Choicegests that when semantic differences do influence near-synonym choice, they may do so in an author-dependent manner. Thus, at least in our domain, ‘context’ (including author) seems to be more important than semantics when choosing between near-synonyms.
外向者
发表于 2025-3-22 12:46:54
Reining in CCG Chart Realization two test grammars, and show that the methods work best in combination. Our evaluation also indicates that despite the exponential worst-case complexity of the basic algorithm, the methods together can constrain the realization problem sufficiently to meet the interactive needs of natural language dialogue systems.
Recess
发表于 2025-3-22 14:55:15
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斜
发表于 2025-3-22 17:41:07
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预防注射
发表于 2025-3-23 00:26:27
The Use of a Structural N-gram Language Model in Generation-Heavy Hybrid Machine Translationinto account the overall structure at the phrase level. The model is used together with other components in the system for lexical and structural selection. An evaluation of the machine translation system shows that the use of structural N-grams decreases runtime by 60% with no loss in translation quality.
anthropologist
发表于 2025-3-23 04:59:38
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字谜游戏
发表于 2025-3-23 05:31:56
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