拿着锡
发表于 2025-3-21 16:42:34
书目名称Evaluation of Natural Language and Speech Tool for Italian影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0317327<br><br> <br><br>书目名称Evaluation of Natural Language and Speech Tool for Italian读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0317327<br><br> <br><br>
HEDGE
发表于 2025-3-21 20:13:20
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GAVEL
发表于 2025-3-22 02:54:14
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渗入
发表于 2025-3-22 07:33:24
A Combination of Classifiers for Named Entity Recognition on Transcriptiond reports its performance which is evaluated by taking part in Evalita 2011 in the task of Named Entity Recognition on Transcribed Broadcast News. In addition, the Evalita 2009 dataset, consisting of newspapers articles, is used to present a comparative analysis by extracting named entities from new
变态
发表于 2025-3-22 08:59:50
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平静生活
发表于 2025-3-22 13:17:01
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平静生活
发表于 2025-3-22 18:28:04
Jürgen Schmitt,Jörg Dombrowski,Faruk Muratn held in 2011. It presents and compares the resources exploited for development and testing, the participant systems and the results, showing also the improvement of resources and scores during the three editions of this contest.
Emasculate
发表于 2025-3-22 22:39:37
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VEN
发表于 2025-3-23 01:23:03
https://doi.org/10.1007/978-3-8349-3942-5ion test data. On the manual transcriptions of the same test data (although having no sentence boundary and punctuation symbol), the system achieves an F1-score of . which is quite high considering the fact that the system is language independent and uses no external dictionaries, gazetteers or ontologies.
Biofeedback
发表于 2025-3-23 08:52:32
https://doi.org/10.1007/978-3-658-29688-9n is often noisy, this represents a challenge for state of the art NER tools. We report on the results of our experiments using the Tanl Tagger as well as another widely available tagger in both the closed and open modalities.