In this paper, we present a new verification style reading comprehension dataset named VGaokao from Chinese Language tests of Gaokao. Different from existing efforts, the new dataset is originally designed for native speakers' evaluation, thus requir
ing more advanced language understanding skills. To address the challenges in VGaokao, we propose a novel Extract-Integrate-Compete approach, which iteratively selects complementary evidence with a novel query updating mechanism and adaptively distills supportive evidence, followed by a pairwise competition to push models to learn the subtle difference among similar text pieces. Experiments show that our methods outperform various baselines on VGaokao with retrieved complementary evidence, while having the merits of efficiency and explainability. Our dataset and code are released for further research.
Nowadays, named entity recognition (NER) achieved excellent results on the standard corpora. However, big issues are emerging with a need for an application in a specific domain, because it requires a suitable annotated corpus with adapted NE tag-set
. This is particularly evident in the historical document processing field. The main goal of this paper consists of proposing and evaluation of several transfer learning methods to increase the score of the Czech historical NER. We study several information sources, and we use two neural nets for NE modeling and recognition. We employ two corpora for evaluation of our transfer learning methods, namely Czech named entity corpus and Czech historical named entity corpus. We show that BERT representation with fine-tuning and only the simple classifier trained on the union of corpora achieves excellent results.
Existing text style transfer (TST) methods rely on style classifiers to disentangle the text's content and style attributes for text style transfer. While the style classifier plays a critical role in existing TST methods, there is no known investiga
tion on its effect on the TST methods. In this paper, we conduct an empirical study on the limitations of the style classifiers used in existing TST methods. We demonstrated that the existing style classifiers cannot learn sentence syntax effectively and ultimately worsen existing TST models' performance. To address this issue, we propose a novel Syntax-Aware Controllable Generation (SACG) model, which includes a syntax-aware style classifier that ensures learned style latent representations effectively capture the sentence structure for TST. Through extensive experiments on two popular text style transfer tasks, we show that our proposed method significantly outperforms twelve state-of-the-art methods. Our case studies have also demonstrated SACG's ability to generate fluent target-style sentences that preserved the original content.
The main objective aim of this research paper is to identifies the optimum ways to manage and implement projects As well as the identification and identification and causes of delayed projects to control them and develop appropriate solutions to over
come them، Through the experience and review of the literature of the subject and a field study of the entire project in practice And follow the implementation step by step and note the role of project management in it ، and identify the problems and obstacles that touch this project and try to
find alternative solutions
How to generate summaries of different styles without requiring corpora in the target styles, or training separate models? We present two novel methods that can be deployed during summary decoding on any pre-trained Transformer-based summarization mo
del. (1) Decoder state adjustment instantly modifies decoder final states with externally trained style scorers, to iteratively refine the output against a target style. (2) Word unit prediction constrains the word usage to impose strong lexical control during generation. In experiments of summarizing with simplicity control, automatic evaluation and human judges both find our models producing outputs in simpler languages while still informative. We also generate news headlines with various ideological leanings, which can be distinguished by humans with a reasonable probability.
The research aims to detect Differences in the use of methods of
verbal, quantitative and formal analysis among students of the
University of Swaida, The numbers pendants (304 students),
distributed (152) male and (152) than females drawn way the
method
of class stratified, the researcher used the test the Analytical method
With his interlocutors verbal, quantitative and formal from preparation
researcher ,and adopted the Descriptive method, results indicated the
existence of no differences between males and females, as well as,
there are differences between the students of Theoretical College and
Applied College of in favor of Applied College, there are differences
between the students of the four year and one of in favor four.
This study shows the application of network planning tool for planning, scheduling
and control of maintenance operations. Taking into account that the maintenance process is
a project as it consists of a set of actions that consume specific resourc
es and have a data
specified achievement. Thus you can create a represents the maintenance process activities.
This diagram helps to maintenance process scheduling, additionally, it allows activity time
maintenance. For this purpose, we used the project. Evaluating and Review technique,
because it respond to order delivery vacillation.
The research consists of five chapters, the first chapter: the definition of the subject of the research and includes a presentation of the research problem, its importance, objectives, limits, methodology and questions. The second chapter included t
he theoretical framework for the research, while the third chapter included a presentation of the most important previous Arab and foreign studies, the fourth chapter included research procedures and methodology, and the fifth chapter included the research results.
This research tackles the phenomenon of dialogue in Alhothaliyen
stories presenting reasons for studying it, then it defines a dialogue linguistically and idiomatically.It also highlights its purpose, its relationship to the pillars of the creative
process, and methods in the old rhetorical Arab heritage and modern criticism.
The body of this research is an applied study of the types of
dialogue in lamentation, flirtation and blame stories, and methods
of composing poetry such as (command and negation,
interrogation, question and answer.
The research concludes that the methods for composing a dialogue (switching, conditional, and compositional styles) added a poetic feature to the text and a realistic dimension to the event, and revealed the poet's emotions and his psychological approach toward the event.
Surrender to the actions/deeds of time is one of the most prominent targets revealed by lamentation and flirtation in a dialogue, as there is no point in blaming time
This research aims to reveal the relationship between perceptual speed
and learning style and thinking associated Bnsfi balls Almokhtan among a
sample of students from the second grade secondary branches of literary
and scientific in the city of D
amascus has reached the sample size (80
students) drawn in the manner accidental, has been used in that:
-Accelerometer cognitive preparation (Ekstrom - French - Herman -
Dereymn 1976) was Arabization by (Anwar Cherkaoui and Walid Qaffas
1993), and scale method of learning and thinking associated Bnsfi balls
Almkhittin Figure (b), consisting of 40 items for the students of the school
secondary preparation (Torrence and his colleagues) and adopted the
descriptive analytical method, Research has come to a number of results
and was the most important: the lack of a statistically significant
relationship between the performance of the sample on a scale speed of
cognitive and performance on a scale methods of learning and thinking
associated Bnsfi balls Almkhittin, and found differences in the speed of
cognitive according to gender variable (male and female) for the benefit
of female and branch academic (scientific - literary) for the benefit of the
scientific section, there are no differences in learning styles and thinking
associated Bnsfi balls Almkhittin by variable type (male and female), and
variable branch school( literary - scientific).
