teacher in class for above 8 years old students

... processes information." These definitions have the root in cognitive science, with its essential assumption that learning involves information processing In a similar vein, Rubin (1 987 : 29) views ... Vocabulary-recording Affix-studying Before training After training 45 Obviously, the frequency mean of each strategy set after the training was higher than that before the training It implies that the students ... Preparing the materials and activities  Conducting explicit strategy training  Evaluating and revising the strategy training Cohen (19 98) emphasizes that an integral part of the strategy training...

Ngày tải lên: 30/03/2015, 14:30

... lying again, and let out a sigh The lion let out a loud roar before he attacked the hunter Infinitive present tense point out point out & points out -ing form past tense past participle pointing ... participle hold up & holds up holding up held up held up hold up hold up p.v When a wall, column, or other structure supports the weight of something above it, such as a ceiling, it holds it up ... pointing out pointed out pointed out point out p.v When you bring things or people to someone's attention or indicate the location of things or people with your hand or index finger, you point them...

Ngày tải lên: 01/11/2013, 12:20

... going along with any changes that will mean longer hours for less money Infinitive present tense -ing form past tense past participle go in for go in for & goes in for going in for went in for ... too start planning for retirement point to point to & points to pointing to pointed to pointed to point to p.v When you indicate people or things with your hand or a finger, you point to them When ... pretty bad for a while, but things are starting to look up I'm much happier than I was last year Things are looking up pay for pay for & pays for paying for paid for paid for pay for p.v When...

Ngày tải lên: 01/11/2013, 12:20

... going along with any changes that will mean longer hours for less money Infinitive present tense -ing form past tense past participle go in for go in for & goes in for going in for went in for ... too start planning for retirement point to point to & points to pointing to pointed to pointed to point to p.v When you indicate people or things with your hand or a finger, you point to them When ... pretty bad for a while, but things are starting to look up I'm much happier than I was last year Things are looking up pay for pay for & pays for paying for paid for paid for pay for p.v When...

Ngày tải lên: 01/11/2013, 15:20

... meteorologist called for intermittent / intramittent rain G Suffixes There are three main groups of suffixes—those for nouns, for adjectives, and for verbs They are listed with their meanings here w ... la / ble Breaking words into their syllables can be helpful in sounding words out, and in managing long or unfamiliar words Often, long words can seem intimidating When broken into smaller syllables, ... bigotry ADJECTIVE ENDINGS SUFFIX MEANING EXAMPLE -able -ian capable, able one who is or does -ic -ile -ious -ive -less causing, making pertaining to having the quality of having the nature of without...

Ngày tải lên: 25/10/2013, 17:20

... 92.91 92. 98 93.25 93.15 93.66 94. 48 93.17 93.95 - Test 84 .39 86 .52 88 .13 87 .36 87 .93 88 .52 87 .96 88 .56 88 .93 89 .31 89 .35 88 .88 89 .41 88 .44 89 .31 89 .36 89 .92 90.04 90.36 90.90 MUC7 67. 48 71 .80 75.25 ... MUC7 67. 48 71 .80 75.25 77.76 75.74 78. 84 75.51 78. 64 77 .85 80 .13 79.29 81 .44 82 .71 82 .50 84 .15 - Table 3: Final NER F1 results, showing the cumulative effect of adding word representations, non-local ... stopping criterion defined, and that the quality of the embeddings can keep improving as training continues Collobert (p.c.) simply leaves one computer training his embeddings indefinitely We induced...

Ngày tải lên: 20/02/2014, 04:20

... 99 .88 98. 81 86 .74 66.70 50.00 R 42.09 60.74 66.14 82 .70 50.00 F1 59.22 75.23 75.05 73 .84 50.00 A 76.06 83 . 48 81 .84 75 .80 50.00 Algorithm WCL-1 WCL-3 Star patterns Bigrams Random BL Table 2: Performance ... discovery In Proceedings of the 2009 AAAI Spring Symposium on Learning by Reading and Learning to Read, pages 88 –93 Horacio Saggion 2004 Identifying denitions in text collections for question answering ... lattice reranking for chineseword segmentation and part-of-speech tagging In Proceedings of the 22nd International Conference on Computational Linguistics (COLING 20 08) , pages 385 –392, Manchester,...

Ngày tải lên: 20/02/2014, 04:20

... Words (bnc) 85 .45 85 .80 66.70 84 .55 87 .10 84 .65 87 .05 88 .30 87 .85 88 .90 87 .80 88 .23 67.42 83 .96 87 .30 87 .44 87 .99 88 . 28 88. 33 88 .89 87 .77 85 .65 66.65 82 .82 86 .65 86 .19 87 .22 88 . 58 88. 45 88 .13 Bag ... C Lin and Y He 2009 Joint sentiment/topic model for sentiment analysis In Proceeding of the 18th ACM Conference on Information and Knowledge Management, pages 375– 384 J Martineau and T Finin ... Society for Information Science, 41:391–407, September R E Fan, K W Chang, C J Hsieh, X R Wang, and C J Lin 20 08 LIBLINEAR: A library for large linear classification The Journal of Machine Learning...

Ngày tải lên: 20/02/2014, 04:20

... error rates Learning Sub-Word Units word lexicon.1 Learning input includes a list of words to segment taken from raw text, a mapping between words and classes (side information indicating whether ... divided into hours of training for the OOV detector and 95 hours of test Note that the OOV detector training set is different from the LVCSR training set We also use a hybrid LVCSR system, combining ... iterations for learning and 200 samples to compute the expectations in Eq The sampler was initialized by sampling for 500 iterations with deterministic annealing for a temperature varying from...

Ngày tải lên: 20/02/2014, 04:20

... 0.2526 0.19 28 0. 181 1 4.2 089 0. 689 5 0.2301 0.14 98 0.1059 6 .81 69 0.7045 0.2763 0.1901 0.1490 Size of feature subset of FSGMM 14 80 80 102 107 55 89 124 1 38 140 32 84 1 28 163 192 20 85 164 225 244 ... all 18 100 100 133 145 64 100 157 190 200 39 100 183 263 351 22 100 188 255 320 6.4495 0.40 18 0.1362 0.0997 0.0937 1.9697 0.3234 0.15 58 0.1230 0.1163 4.2 089 0.46 28 0.1 488 0.1016 0.0730 6 .81 69 ... window size For “interest”, sense discrimination did not benefit from large window size and the best accuracy(40.1%) was achieved at window size For “line”, accuracy dropped when increasing window...

Ngày tải lên: 20/02/2014, 16:20

... In HLTNAACL Shujie Liu, Chi-Ho Li, and Ming Zhou 2010 Discriminative pruning for discriminative itg alignment In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, ... contribution in demonstrating that spurious ambiguity has a negative impact on discriminative learning We will continue working on this line of research and improve our discriminative learning model in ... model1 382 probabilities (collected from FBIS data), relative distances, matchings of high frequency words, matchings of pos-tags, etc Online training was performed using the margin infused relaxed...

Ngày tải lên: 07/03/2014, 22:20

... training speech for ML-SSS and our procedure The results validate our modifications, demonstrating that at least in the regimes feasible for ML-SSS, there is no loss (in fact a tiny gain) in fitting ... detection into 80 0 utterances, which were further partitioned into a 24-minute training set (80 %) and 6-minute test set (20%) Our first experiment was to learn an HMM from the training speech using ... described in Section We also investigated (i) using only minutes of training speech to learn the HMM, but still labeling and using all 24 minutes to build the label-to-phone transducer, and (ii) setting...

Ngày tải lên: 08/03/2014, 01:20

... 0.74 0.66 0.64 0 .81 0.60 0.50 0.66 0.65 SVM Aleph 0 .88 0. 68 0.47 0.74 0.66 0.73 0 .83 0.64 0.51 0. 68 0. 68 0.92 0.73 0.49 0.74 0.66 0 .87 0.93 0. 68 0.59 0 .82 0.74 Table Accuracies obtained by Aleph ... learning algorithm, having as an example sentence (1), in which the word “coming” is the target verb being disambiguated (1) "If there is such a thing as reincarnation, I would not mind coming ... there, be) … KS8 The sense with the highest count of overlapping words in its dictionary definition and in the sentence containing the target verb (excluding stop words) (Lesk, 1 986 ), represented...

Ngày tải lên: 08/03/2014, 02:21

... predominant sense for the nouns the sense priors in WSJ Using this new set of training examples, we perform domain adaptation using active learning to obtain the curve a-truePred in Figure For ... training examples, we perform adaptation using active learning and obtain the a-truePrior curve in Figure The a-truePrior curve shows that by ensuring that the sense priors in the BC training ... start with a WSD system built using training examples drawn from BC We then investigate the utility of adding additional in- domain training data from WSJ In the baseline approach, the additional...

Ngày tải lên: 08/03/2014, 02:21

... 597 155 (82 .8) 253 2 18( 86.1) 85 9 567 184 (82 .8) 1 78 154 (86 .5) 762 513 229(75 .8) 424 365 (86 .2) 732 435 145(66 .8) 374 302 (80 .9) 783 555 1 78( 78. 4) 435 370 (85 .2) 996 560 181 (79.7) 2 58 214 (83 .2) 2,742 ... 3 18 1 28( 40.2) 162(50.9) ( 28) {want, desire, search, lack} 267 66(24.7) 88 (32.0) 28( 8.9~ 53t19 .8) 1 48( 55.5) (29) {lead, cause, guide, precede} 183 139(75.9) 38( 20.7) 5 48 456 1 38( 75.4) 274 221 (80 .9) ... 432 180 (75.0) 124 99(79.9) 727 450 280 (76.7) 240 193 (80 .4) 527 467 270 (80 .8) 187 152 (81 .4) 903 651 241(77.7) 372 305 (82 .0) 81 2 651 187 (80 .6) 311 255 (82 .3) 711 414 1 98( 71.7) 372 294(79.1) 1, 785 ...

Ngày tải lên: 08/03/2014, 21:20

... Setting 85 .75 83 .50 83 .77 85 .94 76.59 Setting 85 .11 83 .09 83 .44 85 .00 77.14 This paper presented a Transfer Learning formulation which learns a prior suggesting which features are most useful for ... commonly used in information theory The above coding scheme1 corresponds to putting a uniform prior over all the features; I.e., each feature is equally likely to get selected For coding the coefficients ... JMLR, 6: 181 7– 185 3 R Ando 2006 Applying alternating structure optimization to word sense disambiguation In (CoNLL) R Florian and D Yarowsky 2002 Modeling consensus: classifier combination for word...

Ngày tải lên: 17/03/2014, 02:20

... could HOLD the man for questioning for up to 48 hours before seeking the permission of magistrates for an extension ##HOLD,detaining # 召开,engage|从事-# 牵,guide|引导-# 以为,regard|认为-# 束缚,restrain|制止-# ... Using Web Data and the EM Algorithm In COLING 2002 Taipei, 2002 Jinying Chen and Martha Palmer (2004) Chinese Verb Sense Discrimination Using EM Clustering Model with Rich Linguistic Features In ... Jurafsky.(2002).Automatic Labeling of Semantic Roles In Computational Linguistics, Vol 28. 3: 245- 288 Rebecca Green, Bonnie Dorr, Philip Resnik (2004) Inducing Frame Semantic Verb Classes from WordNet and LDOCE In ACL...

Ngày tải lên: 17/03/2014, 04:20

... of Examples 81 3 1525 3 189 6167 122 18 24 488 487 01 97349 194 785 387 345 776 586 # of Binary Features 589 6 10224 186 72 322 58 56202 985 61 1 684 78 288 697 493942 82 7023 1376244 Accuracy (%) 89 .07 90.30 ... Sent Sent 89 .07 89 .07 90 .89 90.61 93.11 92.42 94.23 93.53 95.42 94 .82 96.20 95 .80 96.51 96.62 0.95 0.94 Accuracy # of Ex 81 3 181 3 381 3 681 3 1 281 3 2 481 3 488 13 0.93 0.92 0.91 0.9 0 .89 0 .88 10000 ... Different Active Learning Algorithms 0. 98 0.97 0.96 Algo A 89 .07 91.70 93 .82 94.62 95.24 95. 98 96.51 Algo B 89 .07 91.70 93 .82 94.93 95 .87 96.43 96 .88 1250 Sent 89 .07 91. 48 93.60 94.90 95.29 95.46...

Ngày tải lên: 17/03/2014, 08:20

... training method is based on feature frequency adaptation, and there is no prior work on using feature frequency information for accelerating online training Other online training methods includes ... training methods with our proposed training method To compare with existing methods, we chose two popular training methods, a batch training one and an online training one The batch training ... 2.2e3 5.2e3 5.2e3 1.2e3 NWD Rec 72.6 75.3 78. 2 77.5 68. 5 68. 0 68. 8 68. 8 77.2 78. 4 79.1 78. 4 Pre 96.3 97.2 97.5 97.6 94.0 94.4 94 .8 94 .8 95.0 95.5 95 .8 95 .8 Rec 95.9 97.0 96.9 97.2 93.9 94.5 94.5...

Ngày tải lên: 23/03/2014, 14:20

... dataset to build the refined classifier ΓEM (Figure line 17) In building training dataset by active learning, we use uncertainty sampling like (Chan and Ng, 2007) (Figure line 30-31) This step selects ... difficult to know and are no concern in most Web mining applications 2.1 Classifier For our experiment, we use naive Bayes classifiers as learning algorithm In performing WSD, the sense “s” is assigned ... generalized beyond the above four examples used as proper nouns 92 90 88 86 84 τ= 0.0 82 τ= 25.0 80 τ= 50.0 78 τ= 75.0 76 10 20 30 40 50 60 70 80 90 100 Figure 4: Dependency of threshold value τ References...

Ngày tải lên: 23/03/2014, 17:20