Melanocytes 发表于 2025-3-25 03:20:03
http://reply.papertrans.cn/24/2337/233700/233700_21.png解脱 发表于 2025-3-25 10:28:15
,Restoration and Romanticism, 1815–1860,ow that MMI reaches the best performance: 79.09% on POS precision and 49.75% on semantic precision, while the other three exceed 51.09% and 29.78% respectively. When applying word clusters generated by the methods mentioned above to the alignment-based automatic Chinese syntactic induction, the performance is further improved.CLAMP 发表于 2025-3-25 13:49:11
https://doi.org/10.1007/1-56898-632-7multi-document summarization. Experiments on DUC data indicate that our approach is competitive with state-of-the-art summarization techniques. This graphical representation which does not require training corpora can be potentially adapted to other languages.corporate 发表于 2025-3-25 18:33:15
Using Pointwise Mutual Information to Identify Implicit Features in Customer Reviewsween those opinion-oriented words and product features, we could identify what feature a review is regarding without the appearance of explicit feature nouns or phrases. The results of our experiments proved the validity of this method.lipids 发表于 2025-3-25 22:44:35
A Comparative Study on Chinese Word Clusteringow that MMI reaches the best performance: 79.09% on POS precision and 49.75% on semantic precision, while the other three exceed 51.09% and 29.78% respectively. When applying word clusters generated by the methods mentioned above to the alignment-based automatic Chinese syntactic induction, the performance is further improved.起草 发表于 2025-3-26 03:59:23
Building Document Graphs for Multiple News Articles Summarization: An Event-Based Approachmulti-document summarization. Experiments on DUC data indicate that our approach is competitive with state-of-the-art summarization techniques. This graphical representation which does not require training corpora can be potentially adapted to other languages.担忧 发表于 2025-3-26 05:09:49
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https://doi.org/10.1007/978-3-642-05108-1ch the target language is poor in resources. We considered translation from English to Vietnamese and from English to French. Our experiments showed significant BLEU-score improvements in comparison with Pharaoh, a state-of-the-art phrase-based SMT system.