Index of papers in Proc. ACL 2014 that mention
  • proposed model
Tamura, Akihiro and Watanabe, Taro and Sumita, Eiichiro
RNN-based Alignment Model
Under the recurrence, the proposed model compactly encodes the entire history of previous alignments in the hidden layer configuration 3),.
RNN-based Alignment Model
Therefore, the proposed model can find alignments by taking advantage of the long alignment history, while the FFNN-based model considers only the last alignment.
Training
We evaluated the alignment performance of the proposed models with two tasks: Japanese-English word alignment with the Basic Travel Expression Corpus (BTEC) (Takezawa et a1., 2002) and French-English word alignment with the Hansard dataset (H ansards) from the 2003 NAACL shared task (Mihalcea and Pedersen, 2003).
Training
In addition, Table 3 shows that these proposed models are comparable to IBM4au in NTCIR and FBIS even though the proposed models are trained from only a small part of the training data.
Training
Our experiments have shown that the proposed model outperforms the FFNN-based model (Yang et al., 2013) for word alignment and machine translation, and that the agreement constraint improves alignment performance.
proposed model is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Tu, Mei and Zhou, Yu and Zong, Chengqing
Conclusion
The experimental results show that significant improvements have been achieved on various test data, meanwhile the translations are more cohesive and smooth, which together demonstrate the effectiveness of our proposed models .
Experiments
To test the effectiveness of the proposed models , we have compared the translation quality of different integration strategies.
Experiments
To further evaluate the effectiveness of the proposed models , we also conducted an experiment on a larger set of bilingual training data from the LDC corpus7 for translation model and transfer model.
Experiments
The results in Table 4 further verify the effectiveness of our proposed models .
Related Work
To the best of our knowledge, our work is the first attempt to exploit the source functional relationship to generate the target transitional expressions for grammatical cohesion, and we have successfully incorporated the proposed models into an SMT system with significant improvement of BLEU metrics.
proposed model is mentioned in 5 sentences in this paper.
Topics mentioned in this paper:
Wang, William Yang and Hua, Zhenhao
Conclusion
Focusing on the three financial crisis related datasets, the proposed model significantly outperform the standard linear regression method in statistics and strong discriminative support vector regression baselines.
Conclusion
By varying the size of the training data and the dimensionality of the covariates, we have demonstrated that our proposed model is relatively robust across different parameter settings.
Copula Models for Text Regression
Christensen (2005) shows that sorting and balanced binary trees can be used to calculate the correlation coefficients with complexity of 0(nlog Therefore, the computational complexity of MLE for the proposed model is O(n log
Discussions
main questions we ask are: how is the proposed model different from standard text regres-siorflclassification models?
proposed model is mentioned in 4 sentences in this paper.
Topics mentioned in this paper:
Shen, Mo and Liu, Hongxiao and Kawahara, Daisuke and Kurohashi, Sadao
Evaluation
“CharPos” stands for our proposed model which has been described in section 3.
Evaluation
The results show that, while the differences between the baseline model and the proposed model in word segmentation accuracies are small, the proposed model achieves significant improvement in the experiment of joint segmentati-
Evaluation
As the results show, despite the fact that the performance of our baseline model is relatively weak in the joint segmentation and POS tagging task, our proposed model achieves the second-best performance in both segmentation and joint tasks.
proposed model is mentioned in 3 sentences in this paper.
Topics mentioned in this paper:
Zeng, Xiaodong and Chao, Lidia S. and Wong, Derek F. and Trancoso, Isabel and Tian, Liang
Abstract
The experiments on a Chinese-to-English machine translation task reveal that the proposed model can bring positive segmentation effects to translation quality.
Conclusion
The empirical results indicate that the proposed model can yield better segmentations for SMT.
Introduction
Section 4 reports the experimental results of the proposed model for a Chinese-to-English MT task.
proposed model is mentioned in 3 sentences in this paper.
Topics mentioned in this paper:
Zhou, Deyu and Chen, Liangyu and He, Yulan
Abstract
Experimental results show that the proposed model achieves 83% in F-measure, and outperforms the state-of-the-art baseline by over 7%.
Conclusions and Future Work
Instead of employing labeled corpora for training, the proposed model only requires the identification of named entities, locations and time expressions.
Conclusions and Future Work
Our proposed model has been evaluated on the FSD corpus.
proposed model is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: