Báo cáo khoa học: "Oak tree improvement MV in Indiana'''''''' ppt

... for winter hardiness, growth and survival were from Walkenreid and Peine in Germany. REFERENCES Coggeshall MV (1987) New approaches to northern red oak improvement in Indiana. Proceeding ... growing season indicated a non- significant correlation with seed source lat- itude (r = 0.333), but a significant relation- ship of decreasing winter injury...

Ngày tải lên: 08/08/2014, 19:21

... string of terms, and finally the correspondence which is a mapping (given by the arrows ~ ~>) defined between substrings of STRING and subtrees of TREE (a more formal notation using indices ... noun 162 In the string -tree correspondence in fig. I, there are three concepts involved : the TREE which is a labeled tree taking the role of the structu- ral representation, the...

Ngày tải lên: 22/02/2014, 10:20

... testing data set (labelled) Load training and testing data; Adapt the trees for the tree distance algorithm; foreach sentence (training & testing data) do obtain each minimal sub -tree ... included in the sub -tree. All of the white nodes are not included in the sub -tree. The straight lines represent syntactic dependency relations. Input: training data set (labelled) Inpu...

Ngày tải lên: 07/03/2014, 22:20

... tree is an initial tree without adjoining sites. 2. adjoining rules, in which the source tree is an initial tree with at least one adjoining site. 3. auxiliary rules, in which the source tree is ... dashed lines link substitution sites (e.g., NP ↓ and X ↓ in β 1 ) and adjoining sites (e.g., NP and X in α 2 ) in tree pairs. Substituting the initial tree pair α 1 at the...

Ngày tải lên: 07/03/2014, 22:20

... Speeding up training with tree kernels for node relation labeling. In proceedings of EMNLP 2005, Toronto, Canada. Paul Kingsbury and Martha Palmer. 2002. From Treebank to PropBank. In proceedings ... classification. Machine Learning Journal. Libin Shen, Anoop Sarkar, and Aravind Joshi. 2003. Using LTAG based features in parse reranking. In proceedings of EMNLP 2003, Sapporo, Japan. B...

Ngày tải lên: 08/03/2014, 21:20

... subsequence kernels for protein-protein interaction extraction. BMC Bioinformatics, 11(1). Dan Klein and Christopher D. Manning. 2003. Accu- rate unlexicalized parsing. In Proceedings of ACL 2003, pages ... shallow semantic parsing. In Proceed- ings of ACL 2004, Barcelona, Spain. Alessandro Moschitti. 2006. Making Tree Kernels Practical for Natural Language Learning. In Pro- ceedings...

Ngày tải lên: 08/03/2014, 21:20

... derivation is a chain of trees that starts with an initial tree and each derived tree is obtained from the previous one in the chain by adjunction of an auxiliary tree. As in Shieber (2006) we ... shown in Figure 6. Intuitively, a synchronous tree- adjoining gram- mar (STAG) is essentially a pair of TAGs. The synchronization is achieved by pairing the initial trees and the auxilia...

Ngày tải lên: 17/03/2014, 00:20

... forest-to-string rules to enhance the expressive power of their tree- to-string model. As is inherent in a tree- to-string framework, Liu et al.’s method defines a kind of auxiliary rules to integrate ... corresponding multi- headed syntactic structure; and one sibling xRS rule that explains how the pseudo symbol can be combined with other genuine non-terminals for acquiring the gen...

Ngày tải lên: 17/03/2014, 02:20

... Machines. In Proceedings of CoNLL, pages 221–225. S. Petrov, L. Barrett, R. Thibaux, and D. Klein. 2006. Learning Accurate, Compact, and Interpretable Tree Annotation. In Proceedings of COLING/ACL, ... (AS U ), compar- ing the pseudo-projective parsing technique (P-Proj) with two baselines, obtained by training the strictly projective parser on the original (non-projective) training dat...

Ngày tải lên: 17/03/2014, 04:20

... convert this parse tree to a dependency tree. Note that the left-to-right ordering of the sentence is maintained in the depen- dency tree only among siblings (i.e. the dependency tree does not specify ... space when calculating the similarity between two instances, as described in the Section 3. Working in such a large feature space can lead to over-fitting in many machine learn...

Ngày tải lên: 17/03/2014, 06:20