• 제목/요약/키워드: Sentence analysis

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A Critical Study of the Legend on the Chinese Ancient Dynasty's Succession before Yao-Shun Era : Focusing on the Rongchengshi in the Shanghai Bowuguan zang Zhanguo Chuzhushu(II) (上海博物館蔵戦国楚竹書 《容成氏》 の古帝王帝位継承説話研究)

  • 李承律
    • Journal of the Daesoon Academy of Sciences
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    • 제17권
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    • pp.197-225
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    • 2004
  • The respective history of the Chinese Ancient Dynasties from the era of the ancient Emperors to the revolutionary era of Yin-Zhou殷周 was described in the Rongchengshi容成氏, one of the texts in Shanghai Bowuguan zang Zhanguo Chuzhushu(II)上海博物館藏戰國楚竹書(二) discovered in 1994 at an antique market in Hong Kong. Drawn from the historical explanations expressed in it, the anonymous author's own views on history could be observed as largely being composed of 'resignation'禪讓, 'usurpation'簒奪, and 'banishment/smite'放伐. Following the advent of the recently excavated bamboo slips of Rongchengshi, a careful reconsideration is urgently needed to the established interpretation on the origin of the ritual of resignation in the relevant academic circles. Because it shows us that the ritual of resignation as a way of the succession, judging from my analysis, was already realized by Nine Emperors('Rongchengshi', Zunlushi尊盧氏, Hexushi赫胥氏, Gaoxinshi高辛氏, Cangjieshi倉頡氏, Xuanyuanshi軒轅氏, Shennongshi神農氏, 渾沌氏, and Baoxishi包羲氏 and maybe the more) before the era of 'Yao-Shun'堯舜. Accordingly, the aforementioned fact, which has never been elaborated in the previous texts including the first Chinese historiography Shiji史記, is the only peculiar feature to the Rongchengshi itself. Thus, a simple but empirically important question could be raised here: Was this way of description an exceptional case, even as unaccepted in Warring States Period at that time? If then, the Rongchengshi could not but help being evaluated merely as a buried historical texts, without any influence on the ancient Chinese, along with its author. The Chu bamboo slips Tangyu zhi dao唐虞之道 from Guodian Chujian郭店 excavated in 1993, however, has a very similar content to the Rongchengshi in relevance to the historical existence of the ritual of resignation. From the sentence, expressed in Tangyu zhi dao, that "the sudden rise of 'Six Emperors'六帝 was due to the practice of resignation like the period of Yao-Shun", it could be easily presumed that the 'Six Emperors' was closely connected to the 'Nine Emperors' and maybe the more at that time. Comparing with the related extant literary texts and the excavated materials in a vigorous way, in this paper, I explore four significant questions from a more critical stand to the conventional studies. First of all, I explicate the distinctiveness of the Rongchengshi as an academically very precious materials. Secondly, and closely related to the above, I evaluate its status or significance in the history of the Chinese ancient thoughts. And thirdly, I make an endeavor to trace back to the date of its transcription. Finally, and the most crucially, I attempt to show what Schools it was originated from and what connections it had with the Schools in the acient China. In sum, some concluding remarks, having somewhat insightful and significant implications for the further studies in these issues, could be drawn from my exploration. Viewing from the historical perspective of thoughts, at first, the legend of Ancient Dynasty's Succession before Yao-Shun Era in the Rongchengshi had some interactions directly and closely with Zhangzi莊子, Muzi墨子, Guanzi管子, Xunzi荀子 and Tangyu zhi dao. Also in doing search for the unification in a transitional epoch from the late to the end of the Warring States period, the political stand of Shi士 and Ke客 was reflected in it as well as in the Tangyu zhi dao because they actively wanted to suggest the most appropriate model of the Emperor or the idealistic succession process and political realms.

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The Effect of Disgust on Legal Judgment: Disgust Induced by the Crime Scene vs. Sexual Minority Stereotypes (혐오 정서가 법적 판단에 미치는 영향: 범죄현장으로부터 유발된 혐오와 성 소수자 고정관념에서 비롯된 혐오)

  • Lee Yoonjung
    • Korean Journal of Culture and Social Issue
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    • 제29권4호
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    • pp.537-567
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    • 2023
  • This study compared the nature of disgust caused by the crime scene with that by the stereotype of the sexual-minority defendant, and compared the effect of each type of disgust on evidence evaluation and legal judgment. A total of 600 participants (300 men, average age of 44.40) were randomly assigned to sources of disgust (crime scene, sexual minorities defendant, control condition), the existence of additional evidence of innocence (o/x), and the existence of judicial directives (o/x). As a result of the study, disgust under the condition of a cruel crime scene with strong physical disgust was significantly higher than that of the sexual minority defendant, interpreted the evidence in a more guilty direction, and was more prone to_evaluate that the defendant was guilty. It is noteworthy that evidence evaluation was a significant moderating variable between disgust and probability of guilt under conditions where the source of disgust was a sexual minority, but not under control conditions and crime scene condition. It means that the effect of disgust on legal judgment may not be direct when the defendant is a sexual minority. In addition, the existence of the judicial instruction had a significant inverse effect on the sentence. And simple effect analysis found that presenting judicial instruction lowered probability of guilt only under the control condition. This makes it reasonable to infer that disgust derived from the characteristics of the crime scene and the defendant can be recognized as integral emotions that are difficult to correct with instructions. Finally, pity for the defendant was significantly higher under the conditions of sexual minority which shows that an emotional response of sympathy may occur in addition to disgust for sexual minorities. After examining the nature of disgust (physical & moral), legal judgment according to the source and degree of disgust was reviewed. In addition, the meaning of disgust and sympathy for the sexual minority defendant was discussed.

Analysis of the 2022 Revised Science Curriculum Grades 3-4 Achievement Standards Based on Bloom's New Taxonomy of Educational Objectives and Comparison to the 2015 Revised Curriculum (Bloom의 신교육목표분류에 따른 2022 개정 과학과 교육과정 초등학교 3~4학년군 성취기준 분석 및 2015 개정 교육과정과의 비교)

  • Kim, Woo-Joong;Kim, Dong-Suk;Shin, Young-Joon;Kwon, Nan-Joo;Oh, Phil-Seok
    • Journal of Korean Elementary Science Education
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    • 제43권3호
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    • pp.353-364
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    • 2024
  • The purpose of this study is to analyze the achievement standards for grades 3-4 of the 2022 revised science curriculum and identify the goals of science education for grades 3-4 of the 2022 revised curriculum, as well as provide implications for the development of the science textbooks for grades 3-4 and the direction of teaching for teachers in the field. For this purpose, 57 achievement standards of the Science Department 2022 revised curriculum for grades 3-4 were analyzed as to their knowledge dimensions and cognitive processes according to Bloom's Taxonomy of the New Educational Objectives. In cases where an achievement standard is a double sentence or combines two or more knowledge dimensions or cognitive process dimensions, we separated the sentences after having consulted with a group of experts and divided the achievement standards into 57 sentences. We then analyzed the frequency of the categorization of concepts and descriptors by comparing them with the previously studied elementary science standards from the 2015 revised curriculum. The main findings of the study are as follows. First, in the knowledge dimension, the "factual knowledge" accounted for 50 items (86%), compared to "conceptual knowledge" (10%), and "procedural knowledge" (4%), and "metacognitive knowledge" was not analyzed at all. Second, in terms of the cognitive processes, "Understanding" was the highest at 60% with 34 items. It was followed by "applying" with 11%, "creating" with 19%, "evaluating" with 15%, and "analyzing" and "remembering" with 6%. Third, when analyzing the descriptors, "I can explain" was the highest with 9%, followed by "comparison" with 6%, and "practice" and "classification" with 5%. Fourth, compared to the 2015 revised curriculum, "conceptual knowledge" was reduced and "factual knowledge" was overwhelmingly increased. Fifth, in the cognitive process dimension, "understanding,' has increased significantly, while the other cognitive process dimensions have decreased. Conclusions and implications based on these findings are as follows: the focus of the Science Department for grades 3-4 in the 2022 revised curriculum is heavily weighted toward the "factual knowledge," with "understanding" dominating the cognitive process dimensions. As a result, many concepts and applications have been reduced. Based on the results of the comparison of the descriptors with the results of the 2015 revised curriculum, the implications for the development of the science textbooks for grades 3-4 of the 2022 revised curriculum were discussed, and so were the implications of the curriculum for the field.

Methods for Integration of Documents using Hierarchical Structure based on the Formal Concept Analysis (FCA 기반 계층적 구조를 이용한 문서 통합 기법)

  • Kim, Tae-Hwan;Jeon, Ho-Cheol;Choi, Joong-Min
    • Journal of Intelligence and Information Systems
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    • 제17권3호
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    • pp.63-77
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    • 2011
  • The World Wide Web is a very large distributed digital information space. From its origins in 1991, the web has grown to encompass diverse information resources as personal home pasges, online digital libraries and virtual museums. Some estimates suggest that the web currently includes over 500 billion pages in the deep web. The ability to search and retrieve information from the web efficiently and effectively is an enabling technology for realizing its full potential. With powerful workstations and parallel processing technology, efficiency is not a bottleneck. In fact, some existing search tools sift through gigabyte.syze precompiled web indexes in a fraction of a second. But retrieval effectiveness is a different matter. Current search tools retrieve too many documents, of which only a small fraction are relevant to the user query. Furthermore, the most relevant documents do not nessarily appear at the top of the query output order. Also, current search tools can not retrieve the documents related with retrieved document from gigantic amount of documents. The most important problem for lots of current searching systems is to increase the quality of search. It means to provide related documents or decrease the number of unrelated documents as low as possible in the results of search. For this problem, CiteSeer proposed the ACI (Autonomous Citation Indexing) of the articles on the World Wide Web. A "citation index" indexes the links between articles that researchers make when they cite other articles. Citation indexes are very useful for a number of purposes, including literature search and analysis of the academic literature. For details of this work, references contained in academic articles are used to give credit to previous work in the literature and provide a link between the "citing" and "cited" articles. A citation index indexes the citations that an article makes, linking the articleswith the cited works. Citation indexes were originally designed mainly for information retrieval. The citation links allow navigating the literature in unique ways. Papers can be located independent of language, and words in thetitle, keywords or document. A citation index allows navigation backward in time (the list of cited articles) and forwardin time (which subsequent articles cite the current article?) But CiteSeer can not indexes the links between articles that researchers doesn't make. Because it indexes the links between articles that only researchers make when they cite other articles. Also, CiteSeer is not easy to scalability. Because CiteSeer can not indexes the links between articles that researchers doesn't make. All these problems make us orient for designing more effective search system. This paper shows a method that extracts subject and predicate per each sentence in documents. A document will be changed into the tabular form that extracted predicate checked value of possible subject and object. We make a hierarchical graph of a document using the table and then integrate graphs of documents. The graph of entire documents calculates the area of document as compared with integrated documents. We mark relation among the documents as compared with the area of documents. Also it proposes a method for structural integration of documents that retrieves documents from the graph. It makes that the user can find information easier. We compared the performance of the proposed approaches with lucene search engine using the formulas for ranking. As a result, the F.measure is about 60% and it is better as about 15%.

Impact of Semantic Characteristics on Perceived Helpfulness of Online Reviews (온라인 상품평의 내용적 특성이 소비자의 인지된 유용성에 미치는 영향)

  • Park, Yoon-Joo;Kim, Kyoung-jae
    • Journal of Intelligence and Information Systems
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    • 제23권3호
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    • pp.29-44
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    • 2017
  • In Internet commerce, consumers are heavily influenced by product reviews written by other users who have already purchased the product. However, as the product reviews accumulate, it takes a lot of time and effort for consumers to individually check the massive number of product reviews. Moreover, product reviews that are written carelessly actually inconvenience consumers. Thus many online vendors provide mechanisms to identify reviews that customers perceive as most helpful (Cao et al. 2011; Mudambi and Schuff 2010). For example, some online retailers, such as Amazon.com and TripAdvisor, allow users to rate the helpfulness of each review, and use this feedback information to rank and re-order them. However, many reviews have only a few feedbacks or no feedback at all, thus making it hard to identify their helpfulness. Also, it takes time to accumulate feedbacks, thus the newly authored reviews do not have enough ones. For example, only 20% of the reviews in Amazon Review Dataset (Mcauley and Leskovec, 2013) have more than 5 reviews (Yan et al, 2014). The purpose of this study is to analyze the factors affecting the usefulness of online product reviews and to derive a forecasting model that selectively provides product reviews that can be helpful to consumers. In order to do this, we extracted the various linguistic, psychological, and perceptual elements included in product reviews by using text-mining techniques and identifying the determinants among these elements that affect the usability of product reviews. In particular, considering that the characteristics of the product reviews and determinants of usability for apparel products (which are experiential products) and electronic products (which are search goods) can differ, the characteristics of the product reviews were compared within each product group and the determinants were established for each. This study used 7,498 apparel product reviews and 106,962 electronic product reviews from Amazon.com. In order to understand a review text, we first extract linguistic and psychological characteristics from review texts such as a word count, the level of emotional tone and analytical thinking embedded in review text using widely adopted text analysis software LIWC (Linguistic Inquiry and Word Count). After then, we explore the descriptive statistics of review text for each category and statistically compare their differences using t-test. Lastly, we regression analysis using the data mining software RapidMiner to find out determinant factors. As a result of comparing and analyzing product review characteristics of electronic products and apparel products, it was found that reviewers used more words as well as longer sentences when writing product reviews for electronic products. As for the content characteristics of the product reviews, it was found that these reviews included many analytic words, carried more clout, and related to the cognitive processes (CogProc) more so than the apparel product reviews, in addition to including many words expressing negative emotions (NegEmo). On the other hand, the apparel product reviews included more personal, authentic, positive emotions (PosEmo) and perceptual processes (Percept) compared to the electronic product reviews. Next, we analyzed the determinants toward the usefulness of the product reviews between the two product groups. As a result, it was found that product reviews with high product ratings from reviewers in both product groups that were perceived as being useful contained a larger number of total words, many expressions involving perceptual processes, and fewer negative emotions. In addition, apparel product reviews with a large number of comparative expressions, a low expertise index, and concise content with fewer words in each sentence were perceived to be useful. In the case of electronic product reviews, those that were analytical with a high expertise index, along with containing many authentic expressions, cognitive processes, and positive emotions (PosEmo) were perceived to be useful. These findings are expected to help consumers effectively identify useful product reviews in the future.

Subject-Balanced Intelligent Text Summarization Scheme (주제 균형 지능형 텍스트 요약 기법)

  • Yun, Yeoil;Ko, Eunjung;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • 제25권2호
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    • pp.141-166
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    • 2019
  • Recently, channels like social media and SNS create enormous amount of data. In all kinds of data, portions of unstructured data which represented as text data has increased geometrically. But there are some difficulties to check all text data, so it is important to access those data rapidly and grasp key points of text. Due to needs of efficient understanding, many studies about text summarization for handling and using tremendous amounts of text data have been proposed. Especially, a lot of summarization methods using machine learning and artificial intelligence algorithms have been proposed lately to generate summary objectively and effectively which called "automatic summarization". However almost text summarization methods proposed up to date construct summary focused on frequency of contents in original documents. Those summaries have a limitation for contain small-weight subjects that mentioned less in original text. If summaries include contents with only major subject, bias occurs and it causes loss of information so that it is hard to ascertain every subject documents have. To avoid those bias, it is possible to summarize in point of balance between topics document have so all subject in document can be ascertained, but still unbalance of distribution between those subjects remains. To retain balance of subjects in summary, it is necessary to consider proportion of every subject documents originally have and also allocate the portion of subjects equally so that even sentences of minor subjects can be included in summary sufficiently. In this study, we propose "subject-balanced" text summarization method that procure balance between all subjects and minimize omission of low-frequency subjects. For subject-balanced summary, we use two concept of summary evaluation metrics "completeness" and "succinctness". Completeness is the feature that summary should include contents of original documents fully and succinctness means summary has minimum duplication with contents in itself. Proposed method has 3-phases for summarization. First phase is constructing subject term dictionaries. Topic modeling is used for calculating topic-term weight which indicates degrees that each terms are related to each topic. From derived weight, it is possible to figure out highly related terms for every topic and subjects of documents can be found from various topic composed similar meaning terms. And then, few terms are selected which represent subject well. In this method, it is called "seed terms". However, those terms are too small to explain each subject enough, so sufficient similar terms with seed terms are needed for well-constructed subject dictionary. Word2Vec is used for word expansion, finds similar terms with seed terms. Word vectors are created after Word2Vec modeling, and from those vectors, similarity between all terms can be derived by using cosine-similarity. Higher cosine similarity between two terms calculated, higher relationship between two terms defined. So terms that have high similarity values with seed terms for each subjects are selected and filtering those expanded terms subject dictionary is finally constructed. Next phase is allocating subjects to every sentences which original documents have. To grasp contents of all sentences first, frequency analysis is conducted with specific terms that subject dictionaries compose. TF-IDF weight of each subjects are calculated after frequency analysis, and it is possible to figure out how much sentences are explaining about each subjects. However, TF-IDF weight has limitation that the weight can be increased infinitely, so by normalizing TF-IDF weights for every subject sentences have, all values are changed to 0 to 1 values. Then allocating subject for every sentences with maximum TF-IDF weight between all subjects, sentence group are constructed for each subjects finally. Last phase is summary generation parts. Sen2Vec is used to figure out similarity between subject-sentences, and similarity matrix can be formed. By repetitive sentences selecting, it is possible to generate summary that include contents of original documents fully and minimize duplication in summary itself. For evaluation of proposed method, 50,000 reviews of TripAdvisor are used for constructing subject dictionaries and 23,087 reviews are used for generating summary. Also comparison between proposed method summary and frequency-based summary is performed and as a result, it is verified that summary from proposed method can retain balance of all subject more which documents originally have.

Dedicatory Inscriptions on the Amitabha Buddha and Maitreya Bodhisattva Sculptures of Gamsansa Temple (감산사(甘山寺) 아미타불상(阿彌陁佛像)과 미륵보살상(彌勒菩薩像) 조상기(造像記)의 연구)

  • Nam, Dongsin
    • MISULJARYO - National Museum of Korea Art Journal
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    • 제98권
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    • pp.22-53
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    • 2020
  • This paper analyzes the contents, characteristics, and historical significance of the dedicatory inscriptions (josanggi) on the Amitabha Buddha and the Maitreya Bodhisattva statues of Gamsansa Temple, two masterpieces of Buddhist sculpture from the Unified Silla period. In the first section, I summarize research results from the past century (divided into four periods), before presenting a new perspective and methodology that questions the pre-existing notion that the Maitreya Bodhisattva has a higher rank than the Amitabha Buddha. In the second section, through my own analysis of the dedicatory inscriptions, arrangement, and overall appearance of the two images, I assert that the Amitabha Buddha sculpture actually held a higher rank and greater significance than the Maitreya Bodhisattva sculpture. In the third section, for the first time, I provide a new interpretation of two previously undeciphered characters from the inscriptions. In addition, by comparing the sentence structures from the respective inscriptions and revising the current understanding of the author (chanja) and calligrapher (seoja), I elucidate the possible meaning of some ambiguous phrases. Finally, in the fourth section, I reexamine the content of both inscriptions, differentiating between the parts relating to the patron (josangju), the dedication (josang), and the prayers of the patrons or donors (balwon). In particular, I argue that the phrase "for my deceased parents" is not merely a general axiom, but a specific reference. To summarize, the dedicatory inscriptions can be interpreted as follows: when Kim Jiseong's parents died, they were cremated and he scattered most of their remains by the East Sea. But years later, he regretted having no physical memorial of them to which to pay his respects. Thus, in his later years, he donated his estate on Gamsan as alms and led the construction of Gamsansa Temple. He then commissioned the production of the two stone sculptures of Amitabha Buddha and Maitreya Bodhisattva for the temple, asking that they be sculpted realistically to reflect the actual appearance of his parents. Finally, he enshrined the remains of his parents in the sculptures through the hole in the back of the head (jeonghyeol). The Maitreya Bodhisattva is a standing image with a nirmanakaya, or "transformation Buddha," on the crown. As various art historians have pointed out, this iconography is virtually unprecedented among Maitreya images in East Asian Buddhist sculpture, leading some to speculate that the standing image is actually the Avalokitesvara. However, anyone who reads the dedicatory inscription can have no doubt that this image is in fact the Maitreya. To ensure that the sculpture properly embodied his mother (who wished to be reborn in Tushita Heaven with Maitreya Bodhisattva), Kim Jiseong combined the iconography of the Maitreya and Avalokitesvara (the reincarnation of compassion). Hence, Kim Jiseong's deep love for his mother motivated him to modify the conventional iconography of the Maitreya and Avalokitesvara. A similar sentiment can be found in the sculpture of Amitabha Buddha. To this day, any visitor to the temple who first looks at the sculptures from the front before reading the text on the back will be deeply touched by the filial love of Kim Jiseong, who truly cherished the memory of his parents.