Titlebook: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D; 13th China National Maosong Sun,Yang

chemical-peel

Ontology Matching with Word Embeddingsrities among elements. We performed the experiments on the OAEI benchmark, conference track and real-world ontologies. The experimental results show that in element-level matching, word embeddings could achieve better performance than previous methods.

浮雕

不透明性

A Joint Learning Approach to Explicit Discourse Parsing via Structured Perceptrontructured perceptron is proposed. Evaluation on the PDTB corpus shows that our two-components explicit discourse parser can achieve comparable performance with the state-of-the-art one. It also shows that our joint learning approach can significantly outperform the pipeline ones.

準(zhǔn)則

engrossed

Automatic Collection of the Parallel Corpus with Little Prior Knowledgest for its low time cost and there is no need for large-scale computation on URL pattern matching. We have collected 88 915 candidate parallel Chinese-English webpages, which average accuracy is around 90.8%. During the evaluation, the true bilingual websites that we found have high similar html structure and good quality translations.

逢迎春日

faddish

Using Semantic Structure to Improve Chinese-English Term Translationtified and three features based on semantic structure are integrated into the phrase-based statistical machine translation system. Experimental results show that the proposed method achieves 1.58 BLEU points improvement in comparison with the baseline system.

molest

A Comparative Study on Simplified-Traditional Chinese Translationfied-traditional Chinese translation on MS Word, Google Translate and JFJ, followed by discussion on further development, including improvement of translation accuracy and support to human proofreading.

Ringworm

Unsupervised Joint Monolingual Character Alignment and Word Segmentationmodels and a Bayesian language model are combined through product of experts to estimate the joint posterior distribution of a monolingual character alignment and the corresponding segmentation. Our approach enhances the performance of conventional hierarchical Pitman-Yor language models with richer

headway

Improving Multi-pass Transition-Based Dependency Parsing Using Enhanced Shift Actionsode pairs have a indeed dependency relation, but the modifier node has not been a complete subtree yet. The bottom-up parsing strategy requires to perform . action for these node pairs. In this paper, we propose a method to improve performance of parsing by using enhanced . actions. These actions ca