active learning with confidence
Báo cáo khoa học: "Active Learning with Confidence" doc
... slow anddifficult. One popular solution is Active Learning, which maximizes learning accuracy while minimiz-ing labeling efforts. In active learning, the learning algorithm itself selects unlabeled ... margin it haslow confidence compared to the second. Both themargin value and confidence should be consideredin choosing which example to label.We present active learning with confidence us-ing ... important property for inter- active learning. Experimental validation on a num-ber of datasets shows that active learning with con-fidence can improve standard methods.2 Confidence- Weighted Linear...
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Tài liệu Báo cáo khoa học: "Transition-based parsing with Confidence-Weighted Classification" pdf
... that using confidence- weightedclassifiers with transition-based dependency pars-ing yields results comparable with the state-of-the-art results achieved with Support Vector Machines- with faster ... deals with thisby having a confidence- parameter for each weight,modeled by a Gaussian distribution, and this pa-rameter is used to make more aggressive updateson weights with lower confidence ... ex-periments with using CW-classifiers in transition-based parsing.5.1 Online classifiersWe compare CW-classifiers with other online al-gorithms for linear classification. We compare with perceptron...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
... eachadaptation iteration. The adaptation process using active learning is represented by the curve a, whileapplying count-merging with active learning is rep-resented by the curve a-c. Note that ... al.(2006), where active learning was used successfullyto reduce the annotation effort for WSD of 5 Englishverbs using coarse-grained evaluation. In that work,the authors only used active learning ... data from WSJ. In thebaseline approach, the additional WSJ examples arerandomly selected. With active learning (Lewis andGale, 1994), we use uncertainty sampling as shownDT← the set of BC...
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Báo cáo khoa học: "Confidence-Weighted Learning of Factored Discriminative Language Models" pptx
... re-ranking with the proposed discriminative language mod-els.(DLM 0) or factored features by standard percep-tron (DLM 1), confidence- weighted learning (DLM2) and confidence- weighted learning with ... fourdiscriminative learning algorithms, we see that fac-tored features are slightly better then POS features, confidence- weighted learning is slightly better thanperceptron, and confidence- weighted learning with soft ... trained dis-criminative language models by standard percep-tron, confidence- weighted learning and confidence- weighted learning with soft margin.We then trained the weights of a re-ranker usingeight...
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Active learning( Day-Học tích cực)
... nhân người học, đảm bảo cho họ thích ứng với đời sống xà hội. TECHNIQUES THAT SUPPORT ACTIVE LEARNING BRAINSTORMING Free writing Listing/bulleting Clustering/mapping/webbing ... thiểu vai trò của ngườiKhác Quá phục tùngTự biến mình thành người vô hìnhThờ ơ Active learning Một số biểu hiện cụ thể của người học theo hướng tích cựcNgười học biết làm chủ...
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Tài liệu Báo cáo khoa học: "Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing" docx
... directions.2 Active Learning 2.1 Pool-based Active Learning Our base framework of active learning is based onthe algorithm of (Lewis and Gale, 1994), which iscalled pool-based active learning. ... proposemethods of improving active learning for parsingby using a smaller constituent than a sentence asa unit that is selected at each iteration of active learning. Typically in active learning for parsing ... frameworkof active learning, since the selection strategy with large mar-gin classifiers (Section 2.2) is much simpler and seems morepractical for active learning in Japanese dependency parsingwith...
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Tài liệu Báo cáo khoa học: "Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation" docx
... machine active learning with applications to textclassification. Journal of Machine Learning Re-search (JMLR), 2:45–66.David Vickrey, Oscar Kipersztok, and Daphne Koller.2010. An active learning ... Vijay-Shanker. 2009b. Tak-ing into account the differences between activelyand passively acquired data: The case of active learning with support vector machines for imbal-anced datasets. In Proceedings ... Association for Computational Linguistics.Greg Schohn and David Cohn. 2000. Less is more: Active learning with support vector machines. InProc. 17th International Conf. on Machine Learn-ing, pages...
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Tài liệu Báo cáo khoa học: "A Method for Measuring Machine Translation Confidence" docx
... respectively.5 Improving MT quality with N-best listrerankingExperiments reporting in Section 4 indicate that theproposed confidence measure has a high correlation with HTER. However, it is not very ... hypotheses and foreach hypothesis we compute sentence-level confidence scores. The best candidate is the hypothesis with high-est confidence score. Table 3 shows the performance ofreranking systems ... word in MT out-put, namely Good/Bad with a binary classifier andGood/Insertion/Substitution/Shift with a 4-class classi-fier. Each classifier is trained with different feature setsas follow:•...
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Tài liệu Báo cáo khoa học: "Multi-Task Active Learning for Linguistic Annotations" pdf
... 2002), scientific text is annotated with POS tags,parse trees, and named entities.In this paper, we introduce multi-task active learning (MTAL), an active learning paradigm formultiple annotation ... Breiman. 1996. Bagging predictors. Machine Learning, 24(2):123–140.David A. Cohn, Zoubin Ghahramani, and Michael I. Jor-dan. 1996. Active learning with statistical models.Journal of Artificial ... is extremely labor-intensive. The Active Learning (AL) paradigm(Cohn et al., 1996) offers a promising solution todeal with this bottleneck, by allowing the learning algorithm to control the...
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Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
... 2000, Learning to construct knowledge bases from the World Wide Web, Artificial Intelligence, 118(1-2), pp. 69-113. T. Joachims, 1998, Text Categorization with Support Vector Machines: Learning ... features. Since elements with a high TF-IDF value in projections of a feature must become more useful classification criteria for the feature, we use only elements with TF-IDF values above ... Using TCFP with those Using other Classifiers In this section, we prove the superiority of TCFP over the other classifiers (SVM, kNN, Naive Bayes (NB), Roccio) in training data with much noisy...
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Tài liệu Báo cáo khoa học: "Performance Confidence Estimation for Automatic Summarization" ppt
... Features that were significantly correlated with expected performance at confidence level of0.95 are marked with (*). Overall, better perfor-mance is associated with smaller inputs, lower en-tropy, ... show the SVM classificationresults when inputs were paired only with thosewithin the same year. Next inputs of all years werepaired with no restrictions. We report the classifi-cation accuracies ... pages 299–306.M. Dredze and K. Czuba. 2007. Learning to admityou’re wrong: Statistical tools for evaluating webqa. In NIPS Workshop on Machine Learning for WebSearch.M. Kaisser, M. A. Hearst,...
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Báo cáo khoa học: "Balancing User Effort and Translation Error in Interactive Machine Translation Via Confidence Measures" pot
... Valencia46021 Valencia, Spainfcn@dsic.upv.esAbstractThis work deals with the application of confidence measures within an interactive-predictive machine translation system inorder to reduce human ... Im-proving interactive machine translation via mouseactions. In Proc. EMNLP, pages 25–27.N. Ueffing and H. Ney. 2005. Application of word-level confidence measures in interactive statisticalmachine ... P. Plamondon. 1997. Target-text mediated interactive machine translation. Ma-chine Translation, 12:12–175.S. Gandrabur and G. Foster. 2003. Confidence esti-mation for text prediction. In Proc....
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Báo cáo khoa học: "Phrase-based Statistical Language Generation using Graphical Models and Active Learning" potx
... partici-pants are presented with a ‘gold standard’ humanutterance from our dataset, which they must com-pare with utterances generated by models trained with and without active learning on a set of ... through active learning, inwhich the next semantic input to annotate is de-termined by the current model. The probabilis-tic nature of BAGEL allows the use of certainty-based active learning ... samedialogue act can only be queried twice during the active learning procedure. A consequence is thatthe training set used for active learning convergestowards the randomly sampled set as...
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Báo cáo khoa học: "Confidence Measure for Word Alignment" potx
... word confidence estimation. (Quirk,2004) trained a sentence level confidence mea-sure using a human annotated corpus. (Bach etal., 2008) used the sentence-pair confidence scoresestimated with ... sentence pairs with word alignment, fromwhich we obtained phrase translation pairs. Weextract phrase translation tables from the baselineMaxEnt word alignment as well as the alignment with confidence- based ... 2: Correlation between sentence alignment confidence measure and F-score.measure suggests the possibility of selecting thealignment with the highest confidence score to ob-tain better alignments....
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- an empirical study of active learning
- learning with unlabeled data
- confidencedependent chinese word segmentation
- incorporating speech recognition confidence
- a combination of active learning
- methods in active learning for annotation
- learning with annotation noise
- confidence driven unsupervised semantic parsing
- active learning with confidence
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