scaling to very very large corpora
Báo cáo khoa học: "Scaling to Very Very Large Corpora for Natural Language Disambiguation" potx
... unsupervised learning with large training corpora, in hopes of being able to obtain the benefits that come from significantly larger training corpora without incurring too large a cost. 2 Confusion ... Scaling to Very Very Large Corpora for Natural Language Disambiguation Michele Banko and Eric Brill Microsoft ... exploiting very large corpora when labeled data comes at a cost. 1 Introduction Machine learning techniques, which automatically learn linguistic information from online text corpora, have...
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Tài liệu Báo cáo khoa học: "Finding Parts in Very Large Corpora" pdf
... a very large corpus our method finds part words with 55% accuracy for the top 50 words as ranked by the system. The part list could be scanned by an end-user and added to an existing ontology ... tempered to take into account the quantity of data that supports its conclusion. To put this another way, we want to pick (w,p) pairs that have two properties, p(w I P) is high and [ w, pl is large. ... the machines at our disposal, so still larger corpora would not be out of the question. Finally, as noted above, Hearst [2] tried to find parts in corpora but did not achieve good results....
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Báo cáo khoa học: "Scaling Distributional Similarity to Large Corpora" doc
... corresponds to a unique node.• The nodes are arranged into a hierarchy oflevels, with the bottom level containingn2nodes and the top containing a single rootnode. Each level, except the top, will ... generating bilinguallexicons from parallel corpora. In RI, we first allocate a d length index vec-tor to each unique attribute. The vectors con-sist of a large number of 0s and small number() ... us to choose both the weight and the mea-sure used. LSH and PLEB could not match eitherthe efficiency of RI or the accuracy of SASH.We intend to use this knowledge to process evenlarger corpora...
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99 ways to say " very good"
... been practicing58. You did it very well59. FINE60. Nice going61. You're really going to town62. OUSTANDING!63. FANTASTIC!64. TREMEDOUS!65. That's how to handle that66. Now that's ... u'r doing the right thing 99 ways to say " very good"FOR THOSE DAYS WHEN U CAN'T THINK OF WHAT TO SAY!!!My foreign teacher taught me how to express the congratulation. I think ... You certainly did it well today.75. Keep it up!76. Congratulation. You got it right!77. You did a lot of work today78. Well look at you go79. That's it80. I am very proud of u81. MARVELOUS!82....
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99 ways to say "very good" docx
... 99 ways to say " ;very good" 77. You did a lot of work today 78. Well look at you go 79. That's it 80. I am very proud of you 81. MARVELOUS! 82. I like that 83. Way to go ... practicing 58. You did it very well 59. FINE 60. Nice going 61. You're really going to town 62. OUSTANDING! 63. FANTASTIC! 64. TREMEDOUS! 65. That's how to handle that 66. Now ... cách dưới đây nhé! My foreign teacher taught me how to express the congratulation. I think it is useful, so I post it for everyone to refe and you can apply it in daily life. 1. you're...
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99 ways to say very good
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Tài liệu Which Bank Is the “Central” Bank? An Application of Markov Theory to the Canadian Large Value Transfer System doc
... would be to assume that the θ’s vary by day; sinceit could be argued that θ captures both processing speed and other unobservedfactors.17One way to implement this would be to find the θ vectors ... non-optimal points since as the optimizer gets close to (forexample) the unit vector it will stop moving (or slow down in its movements) due to theflatness.13and pkiitis i’s aggregate balance ... distribution that corresponds to the transition probability matrixBt.5 Estimation of the delay parametersWe want to choose the vector θ so that over the sample perio d the eigenvectorsdefined by (6)...
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Báo cáo khoa học: "CS NIPER Annotation-by-query for non-canonical constructions in large corpora" pdf
... analysis of large corpora due to a relatively low frequency of instances and whoseidentification requires expert knowledge to distin-guish them from other similar constructions. Ourtool integrates ... expertknowledge to identify instances of linguisticphenomena that are hard to identify by meansof existing automatic annotation tools.1 IntroductionLinguistic annotation by means of automatic pro-cedures, ... knowledge to be annotated. We plan to integrate further automatic annotations and querypossibilities to support such further use-cases.AcknowledgmentsWe would like to thank Erik-Lˆan Do Dinh,...
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Báo cáo khoa học: "Discovering Relations among Named Entities from Large Corpora" pot
... and effort to prepareannotated corpora large enough to apply supervisedlearning. In addition, the varieties of relations werelimited to those defined by the ACE RDC task. Inorder to discover ... phrase as an initial seed in order to findsimilar verb phrases.3 Relation Discovery3.1 OverviewWe propose a new approach to relation discoveryfrom large text corpora. Our approach is based on2A ... beginningof articles) as peculiar to The New York Times. Inour experiment, the norm threshold was set to 10.We also used stop words when context vectors aremade. The stop words include symbols and...
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A simple large scale synthesis of very long aligned silica nanowires
... August 2002; in final form 11 October 2002AbstractA simple method based on the thermal oxidation of Si wafers has been discovered to provide a large- scale synthesisof very long, aligned silica nanowires. ... Grobert, J. Olivares, J.P. Zhang, H.Terrones, K. Kordatos, W.K. Hsu, J.P. Hare, P.D.Townsend, K. Prassides, A.K. Cheetham, H.W. Kroto,D.R.M. Walton, Nature 388 (1997) 52.J.Q. Hu et al. / Chemical ... mechanical rotary pump to a basepressure of 6 Â 10À2Torr. The furnace was heatedat a rate of 10 °C/min to 800 °C and kept at thistemperature for 30 min, and then further heated to and kept at 1300...
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Báo cáo khoa học: "Practical very large scale CRFs" potx
... resorts to scaling , a solutioncommonly used for HMMs. Scaling amounts to normalizing the values of αtand βt to one, makingsure to keep track of the cumulated normalizationfactors so as to ... computations of exp(x) are vec-torized, which provides an additional speed up ofabout 20%.4.3 Optimization in Large Parameter SpacesProcessing very large feature vectors, up to bil-lions of components, ... IssuesEfficiently processing very- large feature and ob-servation sets requires to pay attention to manyimplementation details. In this section, we presentseveral optimizations devised to speed up training.4.1...
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Báo cáo khoa học: "Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation" ppt
... asbestos w2h and w1polyvinyl English: asbestos , and polyvinyl chloride w1, and w2hchloride English: asbestos and chloride w1and h(no ellipsis) Portuguese: o amianto e o cloreto de ... acquire the countsusing custom tools for managing web-scale N-gram1348Algorithm 1 The bilingual co-training algorithm: subscript m corresponds to monolingual, b to bilingualGiven: • a set ... i = 0 to k doUse Lm to train a classifier hmusing only ¯xm, the monolingual features of ¯xUse Lb to train a classifier hbusing only ¯xb, the bilingual features of ¯xUse hm to label...
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Báo cáo khoa học: "Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases" pptx
... declined to confirm that spain declined to aid moroccodeclined to confirm that spain declined to aid morocco to confirm that spain declined to aid moroccoconfirm that spain declined to aid moroccothat ... fre-8361950472 to aid morocco to confirm that spain declined to aid moroccomoroccospain declined to aid moroccodeclined to confirm that spain declined to aid moroccodeclined to aid moroccoconfirm ... show how to apply suffix arrays to parallel corpora to calculate phrase translation prob-abilities.4.1 Applied to parallel corpora In order to adapt suffix arrays to be useful for sta-tistical...
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- and its catalytic mechanism is very different
- large linguisticallyprocessed web corpora
- a large subcategorization dictionary from corpora
- named entities from large corpora
- corpora to create lexical resources
- similarity to large corpora
- practical very large scale crfs
- building a very large multilingual
- scaling distributional similarity to large corpora
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