teacher in class for 5 6 years old students
Promoting learner autonomy in learning vocabulary for second-year students at Hai Phong Medical University = Phát huy tính tự chủ trong việc học từ vựng cho sin
Ngày tải lên :
30/03/2015, 14:30
... 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 ... Figure Students' maintenance of the taught strategies in independent vocabulary learning Dictionary-related strategies Vocabulary-recording Affix-studying % 80.0 63 55 .6 60.0 44 30 40.0 20.0 7.4 15 ... Vocabulary-recording 60 51 .9 51 .9 Affix-studying 50 41 40 29 .6 30 26 25. 9 22 18 .5 20 18 .5 10 3.7 0 Mark Mark 0 Mark Mark Mark 46 To conclude, dictionary-related strategies were regarded as being the most...
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FOCUS ON - pronunciation of three-word phrasal verbs
Ngày tải lên :
01/11/2013, 12:20
... 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 ... 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 ... 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...
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FOCUS ON - three-word phrasal verbs
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...
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three-word phrasal verbs
Ngày tải lên :
01/11/2013, 15:20
... 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...
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Learning express Goof Proof Spelling - WORD BASICS
Ngày tải lên :
25/10/2013, 17:20
... 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...
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Tài liệu Báo cáo khoa học: "Word representations: A simple and general method for semi-supervised learning" doc
Ngày tải lên :
20/02/2014, 04:20
... 92. 46 92 .52 92 . 56 92.79 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. 36 90.90 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, ... induced embeddings with 25, 50 , 100, or 200 dimensions over 5- gram windows In comparison to Turian et al (2009), we use improved C&W embeddings in this work: • They were trained for 50 epochs, not...
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Tài liệu Báo cáo khoa học: "Learning Word-Class Lattices for Definition and Hypernym Extraction" doc
Ngày tải lên :
20/02/2014, 04:20
... 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 ... 98.33 94.87 44.01 46. 60 50 .00 R† 39.39 56 .57 63 .63 45. 45 50.00 Table 3: Performance on the ukWaC dataset († Recall is estimated) unigram probabilities, with Laplace smoothing on the latter We ... and of the adjective in the second) the annotator selected respec- Full 86. 19 (2 06) 89.27 (383) 65 . 26 (62 ) Substring 96. 23 (230) 96. 27 (413) 88.42 (84) Table 5: Precision in hypernym extraction...
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Tài liệu Báo cáo khoa học: "Learning Word Vectors for Sentiment Analysis" ppt
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 ... 20 05 Emotions from text: machine learning for text-based emotion prediction In Proceedings of HLT/EMNLP, pages 57 9 58 6 A Andreevskaia and S Bergler 20 06 Mining WordNet for fuzzy sentiment: sentiment ... Rethinking LDA: why priors matter In Proceedings of NIPS, pages 1973–1981 C Whitelaw, N Garg, and S Argamon 20 05 Using appraisal groups for sentiment analysis In Proceedings of CIKM, pages 6 25 63 1...
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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc
Ngày tải lên :
20/02/2014, 04:20
... with a minimum of 100 training values per partition 65 60 60 55 55 %Misses 70 65 %Misses 70 50 45 40 35 300 40 Baseline (5k) This Paper (5k) Baseline (10k) This Paper (10k) 50 45 35 10 %FA 15 300 ... Hybrid: Baseline (5k) Hybrid: Baseline (10k) Hybrid: This Paper (5k) Hybrid: This Paper (10k) OOV 1 .62 1 . 56 1 .51 1 .52 1. 45 IV 6. 42 6. 44 6. 41 6. 42 6. 39 All 8.04 8.01 7.92 7.94 7. 85 Table 2: Phone ... Baseline (5k) This Paper (5k) Baseline (10k) This Paper (10k) 80 70 %Misses 70 %Misses Baseline (5k) This Paper (5k) Baseline (10k) This Paper (10k) 80 60 60 50 50 40 40 300 10 %FA 15 300 20 (a)...
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Tài liệu Báo cáo khoa học: "Learning Word Senses With Feature Selection and Order Identification Capabilities" pdf
Ngày tải lên :
20/02/2014, 16:20
... hard interest line serve 15 25 all 15 25 all 15 25 all 15 25 all 18 100 100 133 1 45 64 100 157 190 200 39 100 183 263 351 22 100 188 255 320 6. 44 95 0.4018 0.1 362 0.0997 0.0937 1. 969 7 0.3234 0. 155 8 ... Accuracy 0 .5 0.7 0 .6 0.4 01 0.4 0.3 0 .5 15 25 0.2 01 all Hard dataset 0.7 0 .6 15 25 Interest dataset all 0 .6 0 .55 Accuracy 0 .55 4 0.404 0.407 0.409 0 .51 3 0 .51 2 0 .50 8 0 .51 2 0. 451 0.437 0.447 0 .50 2 0.498 ... 39 100 183 263 351 22 100 188 255 320 6. 44 95 0.4194 0. 164 7 0.1 150 0.1 064 1. 969 7 0 .60 15 0. 252 6 0.1928 0.1811 4.2089 0 .68 95 0.2301 0.1498 0.1 059 6. 8 169 0.70 45 0.2 763 0.1901 0.1490 Size of feature...
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Báo cáo khoa học: "Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment" pdf
Ngày tải lên :
07/03/2014, 22:20
... Yoram Singer 20 06 Online passiveaggressive algorithms J Mach Learn Res., 7 :55 1– 58 5, December Jason Eisner 19 96 Efficient normal-form parsing for combinatory categorial grammar In Proceedings of ... distances, matchings of high frequency words, matchings of pos-tags, etc Online training was performed using the margin infused relaxed algorithm (Crammer et al., 20 06) , MIRA For each sentence ... 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,...
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Báo cáo khoa học: "Unsupervised Learning of Acoustic Sub-word Units" pot
Ngày tải lên :
08/03/2014, 01:20
... 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 ... big gain in computational effort5 ML-SSS with ∆=1 was impractical beyond N =22 # of states 10 22 40 SSS (∆ = 1) -7.14 -7.08 -6. 78 N/A ∆=3 -7.13 -7. 06 -6. 76 -6. 23 ∆=N -7.13 -7. 06 N/A -6. 20 HMM ... 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...
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Báo cáo khoa học: "Learning Expressive Models for Word Sense Disambiguation" pot
Ngày tải lên :
08/03/2014, 02:21
... 0 .61 0. 46 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 ... 46 Verb Majority sense 0 .68 ask 0. 46 come 0.03 get 0.72 give 0.49 go 0.71 live 0.48 look 0 .64 make 0.14 take 0. 65 tell Average 0 .50 C4 .5 0 .68 0 .57 0. 25 0.71 0 .61 0.72 0 .69 0 .62 0.41 0 .67 0 .59 ... sense is 55 % Verb # Translations ask come get give go live look make take tell 29 41 22 30 12 21 32 Most frequent translation - % 53 36 13 72 53 66 41 70 25 66 Mxpost (Ratnaparkhi, 19 96) , respectivelly...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
Ngày tải lên :
08/03/2014, 02:21
... 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 a-c-estPred a-truePred a-estPred a r 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 ... 72 70 68 66 64 62 60 58 a-c a r a-truePrior 56 54 52 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 Percentage of adaptation examples added (%) Figure 2: Adaptation process for all ... a-truePred a 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 Percentage of adaptation examples added (%) Figure 3: Using true predominant sense for the nouns the sense priors in WSJ Using this...
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Báo cáo khoa học: " Word Sense Disambiguation in Untagged Text based on Term Weight Learning" ppt
Ngày tải lên :
08/03/2014, 21:20
... expand} 922 59 7 155 (82.8) 253 218( 86. 1) 859 56 7 184(82.8) 178 154 ( 86 .5) 762 51 3 229( 75. 8) 424 3 65 ( 86. 2) 732 4 35 1 45( 66 .8) 374 302(80.9) 783 55 5 178(78.4) 4 35 370( 85. 2) 9 96 56 0 181(79.7) 258 214(83.2) ... 180( 75. 0) 124 99(79.9) 727 450 280( 76. 7) 240 193(80.4) 52 7 467 270(80.8) 187 152 (81.4) 903 65 1 241(77.7) 372 3 05( 82.0) 812 65 1 187(80 .6) 311 255 (82.3) 711 414 198(71.7) 372 294(79.1) 1,7 85 934 263 (82.7) ... 318 128(40.2) 162 (50 .9) (28) {want, desire, search, lack} 267 66 (24.7) 88(32.0) 28(8.9~ 53 t19.8) 148 (55 .5) (29) {lead, cause, guide, precede} 183 139( 75. 9) 38(20.7) 54 8 4 56 138( 75. 4) 274 221(80.9)...
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Báo cáo khoa học: "Transfer Learning, Feature Selection and Word Sense Disambguation" doc
Ngày tải lên :
17/03/2014, 02:20
... 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 ... JMLR, 6: 1817–1 853 R Ando 20 06 Applying alternating structure optimization to word sense disambiguation In (CoNLL) R Florian and D Yarowsky 2002 Modeling consensus: classifier combination for word ... the training data word_added pos_vbd morph_normal In light of above, the coding scheme, which insubj_use subjsyn_ 169 93 dobj_money corporates the prior information about the predicdobjsyn_ 169 93...
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Báo cáo khoa học: "Robust Word Sense Translation by EM Learning of Frame Semantics" docx
Ngày tải lên :
17/03/2014, 04:20
... tie.v,cause_confinement -> 拘束.v,restrain|制止 tie.v,cognitive_connection -> 联结.v,connect|连 接 Number of frames/senses in FrameNet 6 5 5 5 5 .6 Sense translation accuracy 64 % 100% 55 % 88% 81% 100% 100% 91% 85% 76% ... 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...
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Báo cáo khoa học: "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation" pptx
Ngày tải lên :
17/03/2014, 08:20
... 162 313 6 25 1 250 250 0 50 00 10000 20000 # of Examples 813 152 5 3189 61 67 12218 24488 48701 97349 1947 85 3873 45 77 65 8 6 # of Binary Features 58 96 10224 1 867 2 32 258 56 202 9 8 56 1 168 478 28 869 7 493942 ... 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 1 250 Sent 89.07 91.48 93 .60 94.90 95. 29 95. 46 Pool Size 5, 000 ... Examples 16. 87 16. 66 Iteration 1, 250 Sent Size Pool 20,000 Sent Size Pool 17. 25 17.03 17. 85 16. 92 17 .63 16. 75 lected examples using the 20,000 sentence size pool is always lower than those using the...
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Báo cáo khoa học: "Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection" docx
Ngày tải lên :
23/03/2014, 14:20
... PKU 95 95. 5 94 .5 ADF SGD 96 LBFGS (batch) 95. 5 94 F−score 96 .5 F−score 97 F−score 95 92 .5 97 .5 95 PKU 95 97 .5 93 .5 93 95 94 .5 92 .5 2000 4000 Training time (sec) 60 00 92 1000 2000 3000 Training ... 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 94.7 94.0 94.9 ... Baseline + New features + New word detection + ADF training CU PKU Passes 50 50 50 10 50 50 50 10 50 50 50 10 Train-Time (sec) 4.7e3 1.2e4 1.2e4 2.3e3 2.9e3 7.5e3 7.5e3 1.5e3 2.2e3 5. 2e3 5. 2e3...
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Báo cáo khoa học: "A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query" pdf
Ngày tải lên :
23/03/2014, 17:20
... (percentage in trainig set) 3 16 (6 .5% ) 64 (4 .5% ) 86 (4 .6% ) 380 (20.9%) The threshold value in figure is set to empirically optimized value 50 Dependency on threshold value τ will be discussed in 3.3 ... random m-clustering b-clustering 81 66 79 64 77 62 60 75 58 56 Table 1: Selected examples for evaluation 10 20 30 40 50 60 70 80 90 100 Figure 3: Average active learning process Table shows the ambiguous ... 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...
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