Titlebook: Natural Language Processing and Chinese Computing; 4th CCF Conference, Juanzi Li,Heng Ji,Yansong Feng Conference proceedings 2015 Springer

Bph773

Convolutional Neural Networks for Correcting English Article Errorsned both on an error annotated corpus and an error non-annotated corpus. Experiments are conducted on CoNLL-2013 data set. Our approach achieves 38.10 % in F1, and outperforms the best system (33.40 %) that participates in the task. Experimental results demonstrate the effectiveness of our proposed approach.

强有力

intolerance

Transition-Based Dependency Parsing with Long Distance Collocationscy of decision, we extend the set of parsing actions with two more fine-grained actions based on the types of arcs. Experimental results show that our method improve the performance of parsing effectively, especially for long sentence.

分开如此和谐

filicide

Dislocation

cortisol

Diaphragm

A Cross-Domain Sentiment Classification Method Based on Extraction of Key Sentiment Sentencet key sentiment sentence. Then, data is divided into key and detail views. Integrating two views effectively can improve performance. Finally, experimental results show the superiority of our proposed method.

fluoroscopy

interior