training of dependency parsers

Tài liệu Báo cáo khoa học: "Online Large-Margin Training of Dependency Parsers" docx

Tài liệu Báo cáo khoa học: "Online Large-Margin Training of Dependency Parsers" docx

Ngày tải lên : 20/02/2014, 15:20
... of parent node in dependency tree. c-word: word of child node. p-pos: POS of parent node. c-pos: POS of child node. p-pos+1: POS to the right of parent in sentence. p-pos-1: POS to the left of ... parent of x j . T = {(x t , y t )} T t=1 denotes the training data. We follow the edge based factorization method of Eisner (1996) and define the score of a dependency tree as the sum of the score of ... for training dependency parsers. We use simple linear parsing models trained with margin-sensitive online training algorithms, achieving state -of- the-art performance with relatively modest training...
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Tài liệu Báo cáo khoa học: "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria" ppt

Tài liệu Báo cáo khoa học: "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria" ppt

Ngày tải lên : 20/02/2014, 07:20
... complex- ity of non-projective data-driven dependency parsing. In Proc. of IWPT, pages 121–132. Ryan McDonald, Koby Crammer, and Fernando Pereira. 2005. Online large-margin training of dependency parsers. ... marginal probability of a particular edge k → i (i.e. y i =k), the score of any edge k  → i such that k  = k is set to 0. The determinant of the resulting modi- fied Kirchoff matrix K k→i is then the sum of ... x. By relating the sum of the scores of all possible trees to counting the number of spanning trees in a graph, it can be shown that Z x is the determinant of the Kirchoff matrix K, which is...
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Báo cáo khoa học: "Data point selection for cross-language adaptation of dependency parsers" pot

Báo cáo khoa học: "Data point selection for cross-language adaptation of dependency parsers" pot

Ngày tải lên : 17/03/2014, 00:20
... induction of syntactic structure: models of de- pendency and constituency. In ACL. Ryan McDonald, Koby Crammer, and Fernando Pereira. 2005. Online large-margin training of dependency parsers. ... adaptation of dependency parsers. 3 Experiments 3.1 Data point selection The key idea in our experiments is that we can use a simple form of instance weighting, similar to what is often used ... Data-driven de- pendency parsing of new languages using incomplete and noisy training data. In CoNLL. Kathrin Spreyer, Lilja Øvrelid, and Jonas Kuhn. 2010. Training parsers on partial trees: a cross-language comparison....
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Statistical training of researchers in total quality management: The japanese experience

Statistical training of researchers in total quality management: The japanese experience

Ngày tải lên : 26/10/2012, 09:41
... been composed of one professor, one associate professor and two research associates. To give an example, at the University of Tokyo about 15 professors and associate professors of statistics ... researcher to be aware of the stage he or she is in the stream of R & D. This implies the necessity of an in-company training course at least in the final stage of education of applied statistics, ... manager to supervise the whole process of R & D. Now under the circumstances of Japan and the characteristics of applied statistics, the need of some extensive training system for people to perform...
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Tài liệu Báo cáo khoa học: "Inducing Gazetteers for Named Entity Recognition by Large-scale Clustering of Dependency Relations" ppt

Tài liệu Báo cáo khoa học: "Inducing Gazetteers for Named Entity Recognition by Large-scale Clustering of Dependency Relations" ppt

Ngày tải lên : 20/02/2014, 09:20
... terms of execution speed, may 4 Acknowledgements: This corpus was provided by Dr. Daisuke Kawahara of NICT. 5 To be precise, we need two copies of these. 6 Each node has a copy of the training ... also characterize the dependent MNs well. Given L training examples of verb-MN depen- dencies {(vt i , n i , f i )} L i=1 , where f i is the number of dependency (vt i , n i ) in a corpus, the EM-based clustering ... semantics of MNs well, the MN clusters constructed by using dependency relations should serve as a good gazetteer. However, the high level of computa- tional cost has prevented the use of clustering for...
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Tài liệu Báo cáo khoa học: "Event Matching Using the Transitive Closure of Dependency Relations" pdf

Tài liệu Báo cáo khoa học: "Event Matching Using the Transitive Closure of Dependency Relations" pdf

Ngày tải lên : 20/02/2014, 09:20
... “resigns” is root of event. Figure 2: Types of dependency features. Example features are for e = ”Abdul Halim Khaddam resigns as Vice President of Syria” and s = ”The resignation of Khaddam was ... how much of the basic information of an event e is present in a sentence s. 2.1 Lexical features We employ several types of simple lexical-matching features. These are similar to the “bag -of- words” ... features obtained from the tran- sitive closure of dependency relations. The method yields a model capable of matching events with an F-measure of 66.5%. 1 Introduction Question answering systems...
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Gentle Measures in the Management and Training of the Young docx

Gentle Measures in the Management and Training of the Young docx

Ngày tải lên : 06/03/2014, 20:20
... MODES OF MANAGEMENT. It is not impossible that in the minds of some persons the idea of employing gentle measures in the management and training of children may seem to imply the abandonment of ... this. It is very plain that softening thus the hardship for the child of any act of obedience required of him by giving him a little time implies no abatement of the authority of the parent, nor does ... followed up by the watchful efficiency of the mother. We can not substitute the action of the child for that of the parent in the work of early training, but we can often derive very great advantage...
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Báo cáo khoa học: "Efficient Third-order Dependency Parsers" pdf

Báo cáo khoa học: "Efficient Third-order Dependency Parsers" pdf

Ngày tải lên : 07/03/2014, 22:20
... Depen- dency Parsing. In Proceedings of IWPT. 10 Ryan McDonald, Koby Crammer, and Fernando Pereira. 2005a. Online Large-Margin Training of Dependency Parsers. In Proceedings of the 43 rd ACL, pages 91–98. ... computational cost of the parsing algorithm. Consequently, recent work in dependency pars- ing has been restricted to applications of second- order parsers, the most powerful of which (Car- reras, ... example dependency structure. selection of the sentential head to be modeled as if it were a dependency. For a sentence x, we define dependency parsing as a search for the highest-scoring analysis of...
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Báo cáo khoa học: "Simple semi-supervised training of part-of-speech taggers" pptx

Báo cáo khoa học: "Simple semi-supervised training of part-of-speech taggers" pptx

Ngày tải lên : 07/03/2014, 22:20
... with little labeled training data but negative results when the amount of labeled training data increased; the same seems to be the case in Wang et al. (2007) who use co -training of two diverse POS ... supervised baseline. Spoustova et al. (2009) use a new pool of unlabeled data tagged by an ensemble of state -of- the-art taggers in every training step of an averaged perceptron POS tagger with 4–5% error ... knowledge of supervised learn- ing algorithms. Most of our experiments are im- plementations of wrapper methods that call off- 1 The numbers provided by Unsupos refer to clusters; ”*” marks out -of- vocabulary...
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Báo cáo khoa học: "Task-oriented Evaluation of Syntactic Parsers and Their Representations" potx

Báo cáo khoa học: "Task-oriented Evaluation of Syntactic Parsers and Their Representations" potx

Ngày tải lên : 08/03/2014, 01:20
... the training data for the retraining of dependency parsers. For the other parsers, we in- put the concatenation of WSJ and GENIA for the retraining, while the reranker of RERANK was not re- trained ... of biomedical paper abstracts. Accu- racy improvements in this setting indicate the pos- sibility of domain adaptation, and the portability of the training methods of the parsers. Since the parsers listed ... domain of our target text is different from WSJ, our experiments also highlight the domain portability of parsers. We run two versions of each parser in order to investigate the two types of domain portability....
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Báo cáo khoa học: "Semi-supervised Convex Training for Dependency Parsing" potx

Báo cáo khoa học: "Semi-supervised Convex Training for Dependency Parsing" potx

Ngày tải lên : 08/03/2014, 01:20
... McDonald, K. Crammer, and F. Pereira. 2005a. On- line large-margin training of dependency parsers. In Proceedings of the Annual Meeting of the Association for Computational Linguistics. R. McDonald, ... and C. Manning. 2004. Corpus-based induction of syntactic structure: Models of dependency and con- stituency. In Proceedingsof the Annual Meeting of the Association for Computational Linguistics. G. ... regularization. In Pro- ceedings of The Conference on Computational Natural Language Learning, pages 21–28. Q. Wang, D. Lin, and D. Schuurmans. 2007. Simple training of dependency parsers via structured...
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Báo cáo khoa học: "Integrating Graph-Based and Transition-Based Dependency Parsers" docx

Báo cáo khoa học: "Integrating Graph-Based and Transition-Based Dependency Parsers" docx

Ngày tải lên : 08/03/2014, 01:20
... undoubtedly one of the reasons for the emergence of dependency parsers for a wide range of languages. Many of these parsers are based on data-driven parsing models, which learn to pro- duce dependency ... Online large-margin training of dependency parsers. In Proceedings of ACL, pages 91–98. Ryan McDonald, Fernando Pereira, Kiril Ribarov, and Jan Haji ˇ c. 2005b. Non-projective dependency pars- ing ... sense of letting a subset of the features for one model be derived from the output of a different model has been exploited for dependency parsing by McDonald (2006), who trained an instance of MSTParser...
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Báo cáo khoa học: "Exploring Correlation of Dependency Relation Paths for Answer Extraction" doc

Báo cáo khoa học: "Exploring Correlation of Dependency Relation Paths for Answer Extraction" doc

Ngày tải lên : 08/03/2014, 02:21
... relation correlations from a set of training path pairs. The training data collecting will be described in Sec- tion 6.1. For each question and its answer sentences in training data, we extract relation ... paths of each pair is calculated by employing Dynamic Time Warping algorithm. The input of the cal- culation is correlations between dependency re- lations, which are estimated from a set of train- ing ... correlations, ME model may es- timate the optimal weights of the paths based on a training data set. (Berger et al., 1996) gave a good description of ME model. The model we use is similar to (Shen et...
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Báo cáo khoa học: "Scalable Inference and Training of Context-Rich Syntactic Translation Models" pptx

Báo cáo khoa học: "Scalable Inference and Training of Context-Rich Syntactic Translation Models" pptx

Ngày tải lên : 17/03/2014, 04:20
... com- plement span of any node n to each of its children, and for each of them, add the span of the child to the complement span of all other children. In another traversal of G, we determine ... building algorithm. 963 lhs 1 : NP-C(x 0 :NPB PP(IN (of) x 1 :NP-C)) (NP -of- NP) lhs 2 : PP(IN (of) NP-C(x 0 :NPB PP(IN (of) NP-C(x 1 :NPB x 2 :VP)))) (of- NP -of- NP-VP) lhs 3 : VP(VBD(said) SBAR-C(IN(that) ... possible ways of attaching to constituents of π: besides the highest attachment (rule (f)), can move along the ancestors of France, since it is to the right of the translation of that word, and...
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Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx

Báo cáo khoa học: "Unsupervised Learning of Dependency Structure for Language Modeling" potx

Ngày tải lên : 17/03/2014, 06:20
... Examples of dependency structure. (a) A dependency structure of an English sentence. Square brackets indicate base NPs; underlined words are the headwords. (b) A Japanese equivalent of (a). ... feasible both in training and decoding. In the next section, we offer a DLM that satisfies both of these constraints. 3 Dependency Language Model The DLM attempts to generate the dependency structure ... dependency structure. 3.1 Dependency parsing The aim of dependency parsing is to find the most probable D of a given W by maximizing the prob- ability P(D|W). Let D be a set of probabilistic de- pendencies...
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