methods in active learning for annotation

Ngày tải lên: 31/03/2014, 00:20

... Japan kuro@i.kyoto-u.ac.jp Abstract We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing and evaluate ... algorithm. Machine Learning, 37(3):277–296. Robbie Haertel, Eric Ringger, Kevin Seppi, James Car- roll, and Peter McClanahan. 2008. Assessing the costs of sampling methods in active learning for an- notation. ... that linguistic constraints have been shown useful for reducing annotations in active learning for NLP. Experimental results show that our proposed methods have improved considerably the learning curve...

Ngày tải lên: 20/02/2014, 04:20

... of CoNLL’03, pages 142–147. Katrin Tomanek and Udo Hahn. 2008. Approximating learning curves for active- learning- driven annotation. In Proceedings of LREC’08. Katrin Tomanek, Joachim Wermter, and ... active learning for named entity recognition. In Proceedings of ACL’04, pages 589–596. Min Tang, Xiaoqiang Luo, and Salim Roukos. 2001. Ac- tive learning for statistical natural language parsing. In Proceedings ... selection for the NE task, while for the parsing task extrinsic selection per- formed markedly worse. This shows that examples that were very informative for the NE learner were not that informative for...

Ngày tải lên: 20/02/2014, 09:20

... Sarkar. 2009. Active learning for multilingual statistical machine trans- lation. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th In- ternational Joint Conference ... Association for Computational Linguistics. Katrin Tomanek and Udo Hahn. 2009. Semi- supervised active learning for sequence labeling. In Proceedings of the Joint Conference of the 47th An- nual Meeting ... costs of sampling methods in active learning for an- notation. In Proceedings of ACL-08: HLT, Short Pa- pers, pages 65–68, Columbus, Ohio, June. Associa- tion for Computational Linguistics. Gholamreza...

Ngày tải lên: 20/02/2014, 04:20

... (%) a-truePrior a-truePred a Figure 3: Using true predominant sense for the 9 nouns. the sense priors in WSJ. Using this new set of train- ing examples, we perform domain adaptation using active learning to obtain the curve ... training examples, we perform adaptation using active learning and obtain the a-truePrior curve in Figure 2. The a-truePrior curve shows that by en- suring that the sense priors in the BC training ... correct sense s for d min and add d min to D T Γ ← WSD system trained on new D T end Figure 1: Active learning in Figure 1. In each iteration, we train a WSD sys- tem on the available training data...

Ngày tải lên: 08/03/2014, 02:21

... chemical industries in India is in leaps and bounds. Some of the major polluting chemical industries are fertilizer plants, tanneries, oil refineries, cement industries and dying industries. ... views of the labourers working in the dyeing and bleaching industries with the views of the locals of Tirupur who are not employed in these industries we find that the former have given many zeros ... scarcity of drinking water is due to pollution by these dyeing and bleaching industries of Tirupur, over population in slums due to the concentration of migrant labourers working in these industries....

Ngày tải lên: 15/03/2014, 16:20

... trans- form. In Proc. ICASSP. Andrew McCallum and Kamal Nigam. 1998. Employ- ing EM and pool-based active learning for text clas- sification. In Machine Learning: Proceedings of the Fifteenth International ... to achieve a satisfactory performance using active learning. Active learning has been studied in the context of many natural language processing (NLP) applications such as information extraction(Thompson ... clustering results in a better learning curve. 4.4 Summary Result Figure 8 shows the best active learning result compared with that of random selection. The learning curve for ac- tive learning...

Ngày tải lên: 17/03/2014, 08:20

... burning zone and combustion 16 2.3 Determination of gas volume setpoint and temperature set point for CKD processing 26 2.4 Finding the MIX of raw materials in proper proportion and minimize ... μ L (400) =0 min{[1,μ VL (Z)]} min{[0,μ M (Z)]} min{[0,μ H (Z)]} μ M (400)=1 min{[0, μ L (Z)]} min{[1,μ M (Z)]} min{[0,μ H (Z)]} μ H (400)=0 min{[0, μ M (Z)]} min{[0,μ H (Z)]} min{[0,μv H (Z)]} ... μ VL (Z)]}, min {[1, μ M (Z)],)], min {[0, μ L (Z)]}, min {[0, μ H (Z)]}, min {[0, μ VH (Z)]}. We apply the mean of maximum method for defuzzification that is the intersection points of the line μ...

Ngày tải lên: 22/03/2014, 22:20

... multilingual sentence selection pro- tocols. In the multilingual setting, a novel co- training method for active learning in SMT is pro- posed using consensus translations which outper- forms ... strate- gies in the multilingual case. The ‘Combined Rank’ method outperforms all the other methods including the strong random selection baseline in both self-training and co-training modes. The disagreement-based ... Alternate CombineRank Random Figure 4: The left/right plot show the performance of our AL methods for multilingual setting combined with self-training/co- training. The sentence selection methods from...

Ngày tải lên: 23/03/2014, 16:21

... confidence estimators. 3 Active Learning for Sequence Labeling AL is a selective sampling technique where the learning protocol is in control of the data to be used for training. The intention with AL ... of the automatically labeled train- ing data is crucial for co-training to perform well because too many tagging errors prevent a high- performing model from being learned. Also, the size of the ... con- fidence in the predicted labels. Accordingly, our approach is a combination of AL and self-training to which we will refer as semi-supervised Active Learning (SeSAL) for sequence labeling. While...

Ngày tải lên: 23/03/2014, 16:21

Ngày tải lên: 31/03/2014, 03:20

Ngày tải lên: 31/03/2014, 20:20

Ngày tải lên: 24/04/2014, 13:10

... traditional learning methods in classrooms while delivering content mainly by using interactive multimedia CDs was termed hybrid e -learning. Using the same argument, the term hybrid digital library in ... A-level) examinations. Physics and Mathematics are the essential subjects required for admission for engineering training. 1.1.5. Enrollment by Gender for Science and Engineering training in other ... E -learning e type of e -learning in the preceding section is termed as blended e -learning. Blending occurs when the traditional face-to-face meeting in classrooms is combined with training materials...

Ngày tải lên: 16/01/2014, 16:33

... CA. Kevin Duh and Katrin Kirchhoff. 2008. Beyond log- linear models: Boosted minimum error rate training for n-best ranking. In Proceedings of the 46th Annual Meeting of the Association for Computational ... been content with tuning weights for large feature sets on small development data. Ev- idence from machine learning indicates that increasing the training sample size results in better prediction. ... approach to scaling discrimina- tive learning for SMT not only to large feature sets but also to large sets of parallel training data. Since inference for SMT (unlike many other learn- ing problems)...

Ngày tải lên: 19/02/2014, 19:20

... research questions or hypotheses; searching the literature; writing a proposal and applying for funding; and dealing with the organizational politics of research in clinical settings. In sharp contrast to the ... conducts clinical work as a form of applied research. . The local clinical scientist, who applies a range of research methods and critical thinking skills to solve local problems in clinical settings. . ... questions in advance of developing your procedures. Beginning researchers often rush into selecting the measures that they will use before considering clearly what they really want to find out. This inevitably...

Ngày tải lên: 06/03/2014, 05:20

... containing smiles and 2,000 articles containing frowns were held-out as optimising test data. We took increasing amounts of articles from the remaining dataset (from 2,000 to 22,000 in increments ... number being taken from the positive and negative sets) as optimising training data. For each set of training data we extracted a context of an increasing num- ber of tokens (from 10 to 1,000 in increments ... that more training data will im- prove the performance of the Emoticon-trained clas- sifiers by increasing the coverage. Potential sources for this include online bulletin boards, chat forums, and...

Ngày tải lên: 17/03/2014, 06:20

... and Kamal Nigam. 1998. Employing EM and pool-based active learning for text classification. In Proceedings of the Fifteenth Interna- tional Conference on Machine Learning, pages 359– 367. Grace ... Less is more: Ac- tive learning with support vector machines. In Pro- ceedings of the Seventeenth International Conference on Machine Learning. Hiroyuki Shinnou. 2000. Deterministic Japanese word segmentation ... parsing and information extraction. In Pro- ceedings of the Sixteenth International Conference on Machine Learning, pages 406–414. Simon Tong and Daphne Koller. 2000. Support vector machine active...

Ngày tải lên: 17/03/2014, 08:20

... additional information on macroeconomic conditions – income growth and inflation; 6. Combination of econometric, smoothing and international average methods Data for total health spending in OECD ... importance of ageing in the increase in health expenditures per capita during the period from 1940 to 1990 in the United States. He found that that ageing, in the sense of an increasing proportion ... Moreover, with data on several of the intermediary inputs required for forecasting health spending even under the existing techniques missing in developing countries, it is easy to see that...

Ngày tải lên: 22/03/2014, 13:20