Titlebook: Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead; 21st International C Yuji Matsumoto,Richard W.

Melanocytes

解脱

,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

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

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

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

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

手铐

Locale

glowing

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.