deduce
发表于 2025-3-21 16:04:29
书目名称Human Language Technology. Challenges for Computer Science and Linguistics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0429285<br><br> <br><br>书目名称Human Language Technology. Challenges for Computer Science and Linguistics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0429285<br><br> <br><br>
CROAK
发表于 2025-3-21 22:31:36
Automatic Transcription and Subtitling of Slovak Multi-genre Audiovisual Recordings. Preliminary results show a significant decrease in word error rate relatively from 2.40% to 47.10% for an individual speaker in fully automatic transcription and subtitling of Slovak parliament speech, broadcast news or TEDx talks.
vocation
发表于 2025-3-22 04:16:18
Neural Networks Revisited for Proper Name Retrieval from Diachronic Documentsransformation. This model allows to better take into account lexical and semantic word relationships. In the context of broadcast news transcription and in terms of recall, experimental results show a good ability of the proposed model to select new relevant proper names.
怎样才咆哮
发表于 2025-3-22 07:09:00
Reinvestigating the Classification Approach to the Article and Preposition Error Correctionrained word classes acquired by unsupervised learning as a substitution for commonly used part-of-speech tags. Our best models significantly outperform the top systems from CoNLL-2014 Shared Task in terms of article and preposition error correction.
占卜者
发表于 2025-3-22 12:04:08
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持续
发表于 2025-3-22 15:29:32
Methods of Linking Linguistic Resources for Semantic Role Labelingoyed a logical reasoning device to facilitate the linking procedure. We present results and discuss the challenges and pitfalls that arose from this undertaking. We also compare our rule-based approach with that of using a state-of-the-art English semantic role labeler pipeline for the thematic role transferring task.
CLOT
发表于 2025-3-22 18:37:57
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古代
发表于 2025-3-22 22:09:50
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forager
发表于 2025-3-23 01:37:24
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无思维能力
发表于 2025-3-23 09:10:09
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