TAILIEUCHUNG - Báo cáo khoa học: "Accurate Learning for Chinese Function Tags from Minimal Features"

Data-driven function tag assignment has been studied for English using Penn Treebank data. In this paper, we address the question of whether such method can be applied to other languages and Treebank resources. In addition to simply extend previous method from English to Chinese, we also proposed an effective way to recognize function tags directly from lexical information, which is easily scalable for languages that lack sufficient parsing resources or have inherent linguistic challenges for parsing. . | Accurate Learning for Chinese Function Tags from Minimal Features Caixia Yuan1 2 Fuji Ren1 2 and Xiaojie Wang2 1The University of Tokushima Tokushima Japan 2Beijing University of Posts and Telecommunications Beijing China yuancai ren @ xjwang@ Abstract Data-driven function tag assignment has been studied for English using Penn Treebank data. In this paper we address the question of whether such method can be applied to other languages and Treebank resources. In addition to simply extend previous method from English to Chinese we also proposed an effective way to recognize function tags directly from lexical information which is easily scalable for languages that lack sufficient parsing resources or have inherent linguistic challenges for parsing. We investigated a supervised sequence learning method to automatically recognize function tags which achieves an F-score of on gold-standard POS Part-of-Speech tagged Chinese text - a statistically significant improvement over existing Chinese function label assignment systems. Results show that a small number of linguistically motivated lexical features are sufficient to achieve comparable performance to systems using sophisticated parse trees. 1 Introduction Function tags such as subject object time location etc. are conceptually appealing by encoding an event in the format of who did what to whom where when which provides useful semantic information of the sentences. Lexical semantic resources such as Penn Treebank Marcus et al. 1994 have been annotated with phrase tree structures and function tags. Figure 1 shows the parse tree with function tags for a sample sentence form the Penn Chinese Treebank Xue et al. 2000 file . Released by Linguistic Data Consortium LDC catalog NO. LDC2005T01 Figure 1 Simplified parse tree with function tags in black bold for example sentence. When dealing with the task of function tag assignment or function labeling thereafter one basic .

• Báo cáo khoa học
• Accurate Learning
• Chinese Function Tags
• Minimal Features
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Learning Accurate
• Compact
• Interpretable Tree Annotation
• mô hình ngôn ngữ
• Genome Biology
• Single cell
• Deep learning
• Semi supervised learning
• Downstream analysis
• Artificial neural network
• Machine learning
• Single cell genomics
• DNA methylation
• BMC Bioinformatics
• Protein protein interaction
• Biological processes
• Accurate high throughput methods
• BMC Genomics
• Taxonomic classification
• Whole genome analysis
• Genomic signature
• Alignment free sequence analysis
• Numerical representation of DNA sequences
• Digital signal processing
• Discrete Fourier transform
• RNA seq
• Neural network
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Structural variations
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• Gradient boosting machine
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• DNA N4 methylcytosine
• Sequence feature
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• Cell type specific