How to write the abstract of an English paper? Can you write? The following is the template of English paper abstracts I collected for you, I hope it will help you!
English paper abstract template 1 abstract
As an important part of academic journals in China, sci-tech periodicals are of great significance to the dissemination of scientific knowledge and the development of technology. The internationalization level of sci-tech periodicals represents their recognition in the field of international publishing, and it is also an important standard for the successful establishment of periodicals. Beijing has the largest number of sci-tech periodicals, which play a central role in this region. Therefore, Beijing-centered research results can reflect the international level of China sci-tech periodicals to some extent.
This paper is divided into six chapters: The first chapter is a brief review of academic theory and a description of the practice status and current system of China sci-tech periodicals. Summarizes the stages and characteristics of the development of Beijing sci-tech periodicals. The second chapter provides the historical basis, institutional conditions and the development of digital technology for the following analysis. The third chapter expounds the development status of sci-tech periodicals in Beijing from three aspects: content innovation, business strategy and media. The sixth chapter summarizes the problems faced by China sci-tech periodicals in the process of globalization, and puts forward possible countermeasures based on the analysis of the previous chapters.
Keywords: Beijing; Sci-tech periodicals; Internationalization; impact factor
English paper abstract template 2 abstract
Under the framework of feminism and archetypal criticism, this paper analyzes and discusses angela carter's feminist strategy of "de-myth" in The Story of New Eve. By rewriting and subverting these female archetypes, Carter aims to break the shackles and shackles of patriarchy and explore the road of women's liberation and reconciliation between the two sexes.
Feminists believe that human society is based on patriarchy, and they strive to change women's subordinate status and achieve gender equality. Prototype criticism is one of the most influential branches of literary criticism, which holds that myth is the origin of literature.
Myth, especially the Bible, covers all forms and themes called archetypes in literature.
As a pioneer and advocate of feminism, Carter realized that these female archetypes are usually rigid and dogmatic, but in fact they were created by patriarchy to oppress and exploit women.
Based on intensive reading and detailed text analysis, this paper explains Carter's myth of three female archetypes in The Passion of New Eve. Delilah,,,? Goddess mother? And then what? Eve? They are. First of all, what does Leila Hencott's suffering in the novel reveal? Seducer? In fact, it is the victim of patriarchy, not the source of disloyalty and disaster. Although they are regarded as objects of sexual desire by men, they also have the risk of objectifying themselves, which leads to the deprivation of subjectivity as independent people. Second,? Mom? In Beulah is just an artificial myth, Wang is a comfort tool made by patriarchy, and behind globalization is the value and norms of patriarchy.
Thirdly, Eve's transformation from chauvinist to real woman shows that femininity, rather than an internal quality, is the result of social influence and continuous imitation.
By demystifying these female archetypes, Carter overthrew the triple hegemony and utopian matriarchal dream, and put forward androgyny as a potential solution to the current gender conflict. In her view, the real reconciliation between the two sexes should be based on mutual respect and understanding, which is confirmed by the combination of New Eve and Teresa in The Passion of New Eve.
Keywords: female prototype; De-myth; Angela carter; The passion of new eve
English paper abstract template 3 abstract
In recent years, with the development of financial industry, financial information search has attracted more and more attention. However, the traditional keyword search method is difficult to meet the needs of financial users. Therefore, semantic search products have gained more popularity. However, the semantic parsing process is complex and diverse. In the process of large-scale real text analysis, sentence analysis based on word granularity is very difficult, but after chunk analysis, the accuracy can be significantly improved and the complexity can be significantly reduced. At present, the user's input methods are almost all pinyin input methods, so it is likely that the input pinyin letters are correct and the Chinese characters are wrong. In order to improve the user experience, pinyin text proofreading appeared.
The content of this paper is the preprocessing subsystem of financial question answering system. A system, which contains two functions, pinyin text proofreading and chunk division.
Text proofreading is based on Pinyin. First, the query sequence is put into Pinyin sequence. Then use multiple grammars, three grammars and two grammars to fill the Chinese character sequence. If there is no ambiguity when filling, use text proofreading, otherwise ignore text proofreading.
For chunk division, this paper adopts three different methods: shortest path chunk division, CRF chunk division and neural network chunk division. The subsystem designs and implements these three methods. The shortest path chunk division is similar to the dictionary word division method. CRF chunking decomposes the problem into labeling problem, and achieves the goal of chunking by obtaining the optimal sequence label. Chunking neural network chunking is based on word segmentation, which changes query sequence into node sequence. If the possibility sequence is improved after adding a chunk tag to each node sequence, the tag position is chunkposition.
In the actual test, the shortest path chunk partition based on dictionary can't handle the query that is not in the chunk dictionary. CRF chunk partition can solve the query of unknown chunks, but with the increase of training corpus, the labeling information is too simple, and the error rate of the results increases significantly. When neural network is used in block partition, the prediction time is significantly increased. However, query generalization is a good idea. Through the above research, the reasonable chunk partition method is CRF method, which uses query generalization appropriately.
Finally, after testing, the pretreatment subsystem not only meets the needs of financial question and answer. A system has greatly improved the financial question and answer. The user experience of a system reduces the complexity of analysis and significantly improves the correctness and performance.
Key words: problem analysis of preprocessing system, chunk, text proofreading, conditional random field, neural network
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