Ethnic Homology and China Identity Effect of Division-Unification Law in Ancient China

In the thousands of years of development and evolution of ancient China sometimes it split sometimes it unified but after each division there would be greater unification which is the law of division and unification in ancient Chinese history Why does this law come into being The study found that there are two fundamental reasons one is all major ethnic groups in China have common blood and ethnic origin Second based on this same root and homology China complex and China identity effect were forme

Assessing the Evolution of Thinking Qualities in the Essay Prompts of College English Test Band 4: Trends and Future Implications

This paper provides an analysis of the essay prompts in the College English Test Band 4 from 2011 to June 2023, based on Bloom-Krathwohl’s taxonomy of educational objectives. The study explores the changes in the assessment of thinking qualities and predicts future trends in question formulation for the examination. The findings indicate a shift towards greater emphasis on critical and creative thinking abilities, aligning with national education goals. The examination has evolved to incorporate diverse prompts and question formats, moving away from traditional essay prompts towards more specialized reports and prompts that require in-depth analysis and reflection. It is anticipated that future iterations of the examination will continue to prioritize critical and creative thinking skills and may involve new question formats. Overall, the evolving nature of writing in the College English Test Band 4 reflects the recognition of the significance of nurturing students’ critical and creative thinking abilities, which ultimately promotes effective teaching and learning of English language skills

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model

Existing neural semantic parsers mainly utilize a sequence encoder, i.e., a sequential LSTM, to extract word order features while neglecting other valuable syntactic information such as dependency graph or constituent trees. In this paper, we first propose to use the \textit{syntactic graph} to represent three types of syntactic information, i.e., word order, dependency and constituency features. We further employ a graph-to-sequence model to encode the syntactic graph and decode a logical form. Experimental results on benchmark datasets show that our model is comparable to the state-of-the-art on Jobs640, ATIS and Geo880. Experimental results on adversarial examples demonstrate the robustness of the model is also improved by encoding more syntactic information.Comment: EMNLP'1