擦掉
发表于 2025-3-27 00:21:31
Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011oken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.
易受骗
发表于 2025-3-27 04:01:44
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convulsion
发表于 2025-3-27 07:58:22
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开花期女
发表于 2025-3-27 11:31:43
Bewertung der Untersuchungsergebnisse, from the target domain. The process was repeated a few times for building a new training resource partially adapted to the target domain. Using the new resource we trained three stacked parsers, and their combination was used to produce the final results.
freight
发表于 2025-3-27 13:45:38
https://doi.org/10.1007/978-3-322-81698-6respond to sub-trees. A binary classifier, based on Maximum Entropy, is used to decide whether there is a coreference relationship between each pair of mentions detected in the previous phase. Clustering of entities is performed by a greedy clustering algorithm.
Concrete
发表于 2025-3-27 18:48:11
https://doi.org/10.1007/978-3-658-03547-1 semantic categories, and it is an easier and more practical task with respect to WSD, that deals with very specific senses. We will report on the organization and results of the Evalita 2011 SuperSense Tagging task.
压倒性胜利
发表于 2025-3-27 23:26:31
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ear-canal
发表于 2025-3-28 05:46:53
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NIL
发表于 2025-3-28 08:01:04
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书法
发表于 2025-3-28 13:32:34
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