Titlebook: Evaluation of Natural Language and Speech Tool for Italian; International Worksh Bernardo Magnini,Francesco Cutugno,Emanuele Pianta Confere

拿著錫

書目名稱Evaluation of Natural Language and Speech Tool for Italian影響因子(影響力)




書目名稱Evaluation of Natural Language and Speech Tool for Italian影響因子(影響力)學(xué)科排名




書目名稱Evaluation of Natural Language and Speech Tool for Italian網(wǎng)絡(luò)公開度




書目名稱Evaluation of Natural Language and Speech Tool for Italian網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evaluation of Natural Language and Speech Tool for Italian被引頻次




書目名稱Evaluation of Natural Language and Speech Tool for Italian被引頻次學(xué)科排名




書目名稱Evaluation of Natural Language and Speech Tool for Italian年度引用




書目名稱Evaluation of Natural Language and Speech Tool for Italian年度引用學(xué)科排名




書目名稱Evaluation of Natural Language and Speech Tool for Italian讀者反饋




書目名稱Evaluation of Natural Language and Speech Tool for Italian讀者反饋學(xué)科排名

HEDGE

GAVEL

滲入

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

變態(tài)

平靜生活

平靜生活

Jürgen Schmitt,J?rg 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

VEN

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

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.