Achieve training scores

This book is well designed and written by an experienced native teacher from the USA who has been teaching IELTS for over 10 years. She really is the expert in training IELTS for students at each level. In this book, she will provide you all proven formulas, tips, strategies, explanations, structures, task 1 language, vocabulary and model essays to help you easily achieve an 8.0+ in the IELTS Writing section (Academic), even if your English is not excellent.

109p haojiubujain05 09-08-2023 16 10   Download

Continued part 1, part 2 of ebook "A hotel manager’s handbook: 189 techniques for achieving exceptional guest satisfaction" provide readers with content about: managing the critical drivers of service scores; creating and maintaining a service culture;... Please refer to the part 2 of ebook for details!

79p langmongnhu 14-12-2022 9 4   Download

Based on theory and practice, the topic has applied 3 groups of measures including 13 measures into student management, the results show that the number of students who achieve training scores at excellent, very good, and good levels. The number of students receiving rewards at all levels increased, the number of students achieving average and weak training scores, and the number of students violating discipline decreased.

7p viellenkullman 17-05-2022 8 2   Download

Aligning sentences belonging to comparable monolingual corpora has been suggested as a first step towards training text rewriting algorithms, for tasks such as summarization or paraphrasing. We present here a new monolingual sentence alignment algorithm, combining a sentence-based TF*IDF score, turned into a probability distribution using logistic regression, with a global alignment dynamic programming algorithm. Our approach provides a simpler and more robust solution achieving a substantial improvement in accuracy over existing systems. ...

8p bunthai_1 06-05-2013 53 1   Download

The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and translation quality of such models can be achieved by additionally including wordaligned data during training. Incorporating wordlevel alignments into the parameter estimation of the IBM models reduces alignment error rate and increases the Bleu score when compared to training the same models only on sentence-aligned data. ...

8p bunbo_1 17-04-2013 52 1   Download

We report on an investigation of the pragmatic category of topic in Danish dialog and its correlation to surface features of NPs. Using a corpus of 444 utterances, we trained a decision tree system on 16 features. The system achieved nearhuman performance with success rates of 84–89% and F 1 -scores of 0.63–0.72 in 10fold cross validation tests (human performance: 89% and 0.78). The most important features turned out to be preverbal position, definiteness, pronominalisation, and non-subordination. We discovered that NPs in epistemic matrix clauses (e.g. “I think . . .

6p bunbo_1 17-04-2013 44 3   Download

We present an effective training algorithm for linearly-scored dependency parsers that implements online largemargin multi-class training (Crammer and Singer, 2003; Crammer et al., 2003) on top of efficient parsing techniques for dependency trees (Eisner, 1996). The trained parsers achieve a competitive dependency accuracy for both English and Czech with no language specific enhancements.

8p bunbo_1 17-04-2013 64 3   Download

This paper proposes to solve the bottleneck of finding training data for word sense disambiguation (WSD) in the domain of web queries, where a complete set of ambiguous word senses are unknown. In this paper, we present a combination of active learning and semi-supervised learning method to treat the case when positive examples, which have an expected word sense in web search result, are only given. The novelty of our approach is to use “pseudo negative examples” with reliable confidence score estimated by a classifier trained with positive and unlabeled examples.

4p hongphan_1 15-04-2013 65 2   Download

Parser self-training is the technique of taking an existing parser, parsing extra data and then creating a second parser by treating the extra data as further training data. Here we apply this technique to parser adaptation. In particular, we self-train the standard Charniak/Johnson Penn-Treebank parser using unlabeled biomedical abstracts. This achieves an f -score of 84.3% on a standard test set of biomedical abstracts from the Genia corpus. This is a 20% error reduction over the best previous result on biomedical data (80.2% on the same test set). ...

4p hongphan_1 15-04-2013 40 1   Download

We describe a method for disambiguating Chinese commas that is central to Chinese sentence segmentation. Chinese sentence segmentation is viewed as the detection of loosely coordinated clauses separated by commas. Trained and tested on data derived from the Chinese Treebank, our model achieves a classification accuracy of close to 90% overall, which translates to an F1 score of 70% for detecting commas that signal sentence boundaries.

5p hongdo_1 12-04-2013 64 3   Download

In recent years, research in natural language processing has increasingly focused on normalizing SMS messages. Different well-defined approaches have been proposed, but the problem remains far from being solved: best systems achieve a 11% Word Error Rate. This paper presents a method that shares similarities with both spell checking and machine translation approaches. The normalization part of the system is entirely based on models trained from a corpus. Evaluated in French by 10-fold-cross validation, the system achieves a 9.3% Word Error Rate and a 0.83 BLEU score. ...

10p hongdo_1 12-04-2013 43 1   Download

Writing Skills Abstract Advanced writing skills are an important aspect of academic performance as well as subsequent work-related performance. However, American students rarely attain advanced scores on assessments of writing skills (National Assessment of Educational Progress, 2002). In order to achieve higher levels of writing performance, the working memory demands of writing processes should be reduced so that executive attention is free to coordinate interactions among them.

24p cogaibichle 10-04-2013 213 104   Download