online largemargin training of dependency parsers
Tài liệu Báo cáo khoa học: "Online Large-Margin Training of Dependency Parsers" docx
... for training dependency parsers. We use simple linear parsingmodels trained with margin-sensitive online training algorithms, achieving state -of- the-art performancewith relatively modest training ... of parent node in dependency tree. c-word: word of childnode. 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 ... Computational Linguistics Online Large-Margin Training of Dependency Parsers Ryan McDonald Koby Crammer Fernando PereiraDepartment of Computer and Information ScienceUniversity of PennsylvaniaPhiladelphia,...
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Tài liệu Báo cáo khoa học: "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria" ppt
... complex-ity of non-projective data-driven dependency parsing. InProc. of IWPT, pages 121–132.Ryan McDonald, Koby Crammer, and Fernando Pereira.2005. Online large-margin training of dependency parsers. ... marginalprobability of a particular edge k → i (i.e. yi=k),the score of any edge k→ i such that k= k isset to 0. The determinant of the resulting modi-fied Kirchoff matrix Kk→iis then the sum of ... x.By relating the sum of the scores of all possibletrees to counting the number of spanning trees in agraph, it can be shown that Zxis 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
... 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 Experiments3.1 Data point selectionThe key idea in our experiments is that we can use asimple form of instance weighting, similar to what isoften used ... Data-driven de-pendency parsing of new languages using incompleteand noisy training data. In CoNLL.Kathrin Spreyer, Lilja Øvrelid, and Jonas Kuhn. 2010. Training parsers on partial trees: a cross-languagecomparison....
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Statistical training of researchers in total quality management: The japanese experience
... been composed of one professor, one associateprofessor and two research associates.To give an example, at the University of Tokyo about 15 professors and associateprofessors 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 finalstage of education of applied statistics, ... managerto 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
... terms of execution speed, may4Acknowledgements: This corpus was provided by Dr.Daisuke Kawahara of NICT.5To be precise, we need two copies of these.6Each node has a copy of the training ... alsocharacterize the dependent MNs well.Given L training examples of verb-MN depen-dencies {(vti, ni, fi)}Li=1, where fiis the number of dependency (vti, ni) in a corpus, the EM-basedclustering ... semantics of MNswell, the MN clusters constructed by using dependency relations should serve as a goodgazetteer. However, the high level of computa-tional cost has prevented the use of clusteringfor...
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Tài liệu Báo cáo khoa học: "Event Matching Using the Transitive Closure of Dependency Relations" pdf
... “resigns” is root of event.Figure 2: Types of dependency features. Example features are for e = ”Abdul Halim Khaddam resigns as VicePresident of Syria” and s = ”The resignation of Khaddam was ... how much of the basic information of an evente is present in a sentence s.2.1 Lexical featuresWe employ several types of simple lexical-matchingfeatures. These are similar to the “bag -of- words” ... features obtained from the tran-sitive closure of dependency relations. Themethod yields a model capable of matchingevents with an F-measure of 66.5%.1 IntroductionQuestion answering systems...
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Gentle Measures in the Management and Training of the Young docx
... MODES OF MANAGEMENT.It is not impossible that in the minds of some persons the idea of employing gentle measures in themanagement 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 givinghim 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 substitutethe action of the child for that of the parent in the work of early training, but we can often derive very greatadvantage...
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Báo cáo khoa học: "Efficient Third-order Dependency Parsers" pdf
... Depen-dency Parsing. In Proceedings of IWPT.10 Ryan McDonald, Koby Crammer, and FernandoPereira. 2005a. Online Large-Margin Training of Dependency Parsers. In Proceedings of the 43rdACL, pages 91–98. ... Dependency Parsers. In Proceedings of EMNLP-CoNLL, pages 122–131.Association for Computational Linguistics.Ryan McDonald and Fernando Pereira. 2006. Online Learning of Approximate Dependency ... 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,...
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Báo cáo khoa học: "Simple semi-supervised training of part-of-speech taggers" pptx
... with littlelabeled training data but negative results whenthe amount of labeled training data increased; thesame seems to be the case in Wang et al. (2007)who use co -training of two diverse POS ... supervised baseline. Spoustovaet al. (2009) use a new pool of unlabeled datatagged by an ensemble of state -of- the-art taggersin every training step of an averaged perceptronPOS tagger with 4–5% error ... knowledge of supervised learn-ing algorithms. Most of our experiments are im-plementations of wrapper methods that call off-1The 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
... the training data for the retraining of dependency parsers. For the other parsers, we in-put the concatenation of WSJ and GENIA for theretraining, 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 fromWSJ, our experiments also highlight the domainportability of parsers. We run two versions of eachparser in order to investigate the two types of domainportability....
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Báo cáo khoa học: "Semi-supervised Convex Training for Dependency Parsing" potx
... McDonald, K. Crammer, and F. Pereira. 2005a. On-line large-margin training of dependency parsers. InProceedings of the Annual Meeting of the Associationfor 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 theAssociation for Computational Linguistics.G. ... regularization. In Pro-ceedings of The Conference on Computational NaturalLanguage 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
... undoubtedly one of the reasonsfor the emergence of dependency parsers for a widerange of languages. Many of these parsers are basedon data-driven parsing models, which learn to pro-duce dependency ... Pereira.2005a. Online large-margin training of dependency parsers. In Proceedings of ACL, pages 91–98.Ryan McDonald, Fernando Pereira, Kiril Ribarov, andJan Hajiˇc. 2005b. Non-projective dependency ... Incremen-tal dependency parsing using online learning. In Pro-ceedings of EMNLP-CoNLL, pages 1134–1138.Ryan McDonald and Joakim Nivre. 2007. Characteriz-ing the errors of data-driven dependency...
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Báo cáo khoa học: "Exploring Correlation of Dependency Relation Paths for Answer Extraction" doc
... relationcorrelations 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 DynamicTime 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 ona training data set. (Berger et al., 1996) gave agood description of ME model. The model weuse is similar to (Shen et...
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Báo cáo khoa học: "Scalable Inference and Training of Context-Rich Syntactic Translation Models" pptx
... com-plement span of any node n to each of its children,and for each of them, add the span of the childto the complement span of all other children. Inanother traversal of G, we determine ... algorithm.963 lhs1: NP-C(x0:NPB PP(IN (of) x1:NP-C)) (NP -of- NP)lhs2: PP(IN (of) NP-C(x0:NPB PP(IN (of) NP-C(x1:NPB x2:VP)))) (of- NP -of- NP-VP)lhs3: 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 isto 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
... 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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