label propagation based semisupervised learning
Báo cáo khoa học: "Relation Extraction Using Label Propagation Based Semi-supervised Learning" potx
... In the la-bel propagation process, the soft label of each initiallabeled example is clamped in each iteration to re-plenish label sources from these labeled data. Thusthe labeled data act ... LP based relation extraction method can usethe graph structure to smooth the labels of unlabeledexamples. Therefore, the labels of unlabeled exam-ples are determined not only by the nearby labeledexamples, ... sameclass would be as large as possible. This will make label propagation to stay within the same class. This label propagation process will make the labelingfunction smooth on the graph.Define an n...
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Tài liệu Learning DebianGNU Linux-Chapter 10. Setting Up a Linux-Based LAN pptx
... server. Table 10.3: Samba File Share Options Option Group Option Description volume The volume label returned for the share. 10.3.2.3 Configuring printer share parameters You configure printer ... configuration changes, you can re-install Linux. However, you can spare yourself much inconvenience by learning how Linux stores its network configuration. As you'll see, by using a text editor ... change the hostname, be sure to specify only the hostname itself; do not 10. Setting Up a Linux -Based LAN This chapter explains how to set up a local-area network (LAN) that includes a Linux...
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Tài liệu Learning DebianGNU Linux-Chapter 12. Setting Up a Linux-Based WAN pptx
... system. pwd Displays the current working directory on the remote system. 12. Setting Up a Linux -Based WAN In the last chapter, you learned how to connect your Linux system to a local-area network...
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Tài liệu Báo cáo khoa học: "Predicate Argument Structure Analysis using Transformation-based Learning" pdf
... transformation -based learning isthe readability of learned rules. A dis-advantage is that the rule extraction pro-cedure is time-consuming. We presentincremental -based, transformation -based learning ... t type relation-ship.Transformation -based learning was proposedby (Brill, 1995). Below we explain our learn-ing strategy when we directly adapt the learning method to our graph expression ... statistical learning; however, such work is hard,especially for tasks containing semanticelements. This paper describes predi-cate argument structure analysis using transformation -based learning. ...
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Tài liệu Báo cáo khoa học: "A Graph-based Semi-Supervised Learning for Question-Answering" doc
... lim-ited amount of labeled data, i.e., correctly labeled(true/false entailment) sentences. Recent researchindicates that using labeled and unlabeled data insemi-supervised learning (SSL) environment, ... SVM and our graph based SSLmethod with no summarization to learn modelsusing labeled training and testing datasets. ForSSL we used the training as labeled and testingas unlabeled dataset in ... graph-summarization methodto enable learning from a very large unlabeled andrather small labeled data, which would not havebeen feasible for most sophisticated learning toolsin section 4. Finally...
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Tài liệu Báo cáo khoa học: "Predicting Unknown Time Arguments based on Cross-Event Propagation" ppt
... This paper describes two methods, one based on rules and the other based on statistical learning, to predict the un-known time argument for an event by the propagation from its related events. ... and section 4.2 will present the statistical learning framework respectively. 4.1 Rule based Prediction The easiest solution is to encode rules based on constraints from event arguments and ... Statistical Learning based Prediction In addition, we take a more general statistical approach to capture the cross-event relations and predict unknown time arguments. We manually labeled some...
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Tài liệu Báo cáo khoa học: "Learning Source-Target Surface Patterns for Web-based Terminology Translation" pdf
... involves first using Web -based method by Nagata et al., and if no translations are found on the Web, backing off to a hybrid method based on dictionary and Web -based statistics on words and ... answer key exactly, and 145 (48%) containing the answer key. 5 Conclusion We present a novel Web -based, data-intensive ap-proach to terminology translation from English to Mandarin Chinese. Experimental ... | ω), for any given transliteration unit (TU) ω and transliteration char-acter (TC) τ. Based on the Expectation Maximiza-tion (EM) algorithm. A TU for an English name can be a syllable...
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Tài liệu Báo cáo khoa học: "Some Novel Applications of Explanation-Based Learning to Parsing Lexicalized Tree-Adjoining Grammars"" doc
... tion: A Unifying View. Machine Learning 1, 1:47-80. Gfinter Neumann. 1994. Application of Explanation- based Learning for Efficient Processing of Constraint- based Grammars. In 10 th IEEE ... Explanation -Based Learning. In Proceed- ings of 7 ~h AAAI Conference, pages 564-569, Saint Paul, Minnesota. Tom M. Mitchell, Richard M. Keller, and Smadax T. Kedar-Carbelli. 1986. Explanation -Based ... Introduction In this paper we present some novel applications of the so-called Explanation -Based Learning technique (EBL) to parsing Lexicalized Tree-Adjoining gram- mars (LTAG). EBL techniques...
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Tài liệu Báo cáo khoa học: "An Alignment Algorithm using Belief Propagation and a Structure-Based Distortion Model" pdf
... 2009.c2009 Association for Computational LinguisticsAn Alignment Algorithm using Belief Propagation and a Structure -Based Distortion ModelFabien Cromi`eresGraduate school of informaticsKyoto UniversityKyoto, ... computationally ef-ficient procedure for an exact EM -based training.However, we will give some theoretical and empir-ical evidences that Loopy Belief Propagation cangive us a good approximation procedure.Although ... canada.http://www.isi.edu/naturallanguage/download/hansard/.D. Gildea. 2003. Loosely tree -based alignment formachine translation. Proceedings of ACL, 3.T. Heskes. 2003. Stable fixed points of loopy be-lief propagation are minima of the bethe free...
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Báo cáo " An integrated approach for an academic advising system in adaptive credit-based learning environment " ppt
... e -learning system is described in [7] which can adapt itself to its users and to the open web based on the usage of its learning materials. The system users are clustered based on their learning ... Academic Advising System. 4. Knowledge -based academic advising system framework in adaptive credit -based learning environment This section proposes a framework based on semantic technology and ... dynamically changing world [2]. On the basis of credit accumulation, Web -based learning systems are no longer closed learning Nguyen Thanh Binh et al. / VNU Journal of Science, Natural Sciences...
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Báo cáo khoa học: "Experiments in Graph-based Semi-Supervised Learning Methods for Class-Instance Acquisition" docx
... matrix of soft label assign-ments, withˆYvlrepresenting the score of label lon node v. A graph -based SSL computesˆY from{G, SY }.2.2 Label Propagation (LP-ZGL)The label propagation method ... ∈ V islabeled. That is, S identifies the labeled nodes inthe graph. C is the set of labels, with |C| = mrepresenting the total number of labels. Y is then × m matrix storing training label ... constraintsin SSL.Because of the label propagation behavior,graph -based SSL algorithms assign classes to allnodes reachable in the graph from at least oneof the labeled instance nodes. This allows...
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Báo cáo khoa học: "Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment" pdf
... ambiguity has a negative im-pact on discriminative learning. We will continueworking on this line of research and improve ourdiscriminative learning model in the future, for ex-ample, by adding ... ambiguity a much more seri-ous issue.4.2 Discriminative Learning ExperimentsTo further study how spurious ambiguity affects thediscriminative learning, we implemented a frame-work following Haghighi ... Stanford University.Philipp Koehn, Franz Josef Och, and Daniel Marcu.2003. Statistical phrase -based translation. In HLT-NAACL.Shujie Liu, Chi-Ho Li, and Ming Zhou. 2010. Dis-criminative pruning...
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Báo cáo khoa học: "Enriching the Output of a Parser Using Memory-Based Learning" potx
... on WSJ section23 in three settings:on unlabelled dependencies;on labelled dependencies with only bare labels(all functional tags discarded);on labelled dependencies with functional tags.Notice ... to labelled PARSEVAL with functional labels,the method would give around 87.8% performance(98.64% of the “usual” 89%) for Charniak’s parser.Adding functional labels can be viewed as arelabelling ... closer look at the evaluation re-sults. Obviously, relabelling does not change theunlabelled scores. The 1% improvement for eval-uation on bare labels suggests that our approachis capable not...
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