• Title/Summary/Keyword: text-generation

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Generating Radiology Reports via Multi-feature Optimization Transformer

  • Rui Wang;Rong Hua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.10
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    • pp.2768-2787
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    • 2023
  • As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.

Research on the Utilization of Recurrent Neural Networks for Automatic Generation of Korean Definitional Sentences of Technical Terms (기술 용어에 대한 한국어 정의 문장 자동 생성을 위한 순환 신경망 모델 활용 연구)

  • Choi, Garam;Kim, Han-Gook;Kim, Kwang-Hoon;Kim, You-eil;Choi, Sung-Pil
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.4
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    • pp.99-120
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    • 2017
  • In order to develop a semiautomatic support system that allows researchers concerned to efficiently analyze the technical trends for the ever-growing industry and market. This paper introduces a couple of Korean sentence generation models that can automatically generate definitional statements as well as descriptions of technical terms and concepts. The proposed models are based on a deep learning model called LSTM (Long Sort-Term Memory) capable of effectively labeling textual sequences by taking into account the contextual relations of each item in the sequences. Our models take technical terms as inputs and can generate a broad range of heterogeneous textual descriptions that explain the concept of the terms. In the experiments using large-scale training collections, we confirmed that more accurate and reasonable sentences can be generated by CHAR-CNN-LSTM model that is a word-based LSTM exploiting character embeddings based on convolutional neural networks (CNN). The results of this study can be a force for developing an extension model that can generate a set of sentences covering the same subjects, and furthermore, we can implement an artificial intelligence model that automatically creates technical literature.

The Dehistoricization Trend in Historical Plays: Play with History and Everyday Life History Writing (역사극의 탈역사화 경향: 역사의 유희와 일상사적 역사 쓰기)

  • Kim, Sunghee
    • Journal of Korean Theatre Studies Association
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    • no.48
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    • pp.51-84
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    • 2012
  • In Korea, historical plays took an epoch-making turn from the previous historical plays in terms of approaches to topic and material and methods of rewriting history in the 1990s. Historical plays became dehistoricized with individual, everyday life, and faction emerging as major codes of historical plays according to mistrust in history and grand narrative as the original and disappearance of trust in the growth and totality of history. A new trend became dominant of presenting fictionality prominent instead of reproduction of history and freely playing with history outside the context. While modern historical plays were subject to the content of history, post-modern historical plays sought after new history writing to tell a new story on history within a framework of fiction. Focusing on some of the trends in post-modern historical plays since the 1990s, which include play with history, daily life-style history writing, and reproduction patterns of colonial modernity, this study examined the goals, representations, and text strategies of new history writing in three historical plays, Generation After Generation(2000) by Park Geunhyung, The Mercenaries(2000) by Park Sujin, and Chosun Detective Hong Yunshik(2007) by Sung Giwoong. In Generation After Generation, the author adopts a plot of starting with the present and tracing back to the past, breaking down the myth of racially homogeneous nation. At the same time, he discloses that the colonial history is not just by the oppressive force of Japan but also by the voluntary cooperation of Korean people. That is, we are also accountable for the colonial history of the nation. The Mercenaries contrasts the independence movement during the colonial period against the modern history developed after Liberation, thus highlighting the still continuing coloniality, namely post-colonial present. The past is presented as the "phantom of history" making its appearance according to the request of the present hoping for salvation. The author politicizes history and grants political wishes to history by summoning the history by personal memories such as fictional diaries and letters with Messiah-like images opposed to the present of collapse and catastrophe. In Chosun Detective Hong Yunshik, the author makes an attempt at the microscopic reproduction of daily life by approaching the 1930s as the modern period when capitalist daily life started to take root. The lists of signs comprising daily life in colonial Gyeongseong are divided between civilization and savagery and between modern and premodern. With the progress of narrative, however, they become mixed together and reversed in the representation system in which the latter overwhelms the former.

Analysis of Video Advertisement Production Direction based on Generation Z Lifestyle and SNS Status (Z세대 라이프스타일과 SNS 현황을 바탕으로 한 영상광고 제작 방향 분석)

  • Cho, Hyun Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.539-544
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    • 2023
  • In this study, several important aspects were studied in producing video advertisements based on the lifestyle and SNS status of Generation Z. Generation Z highly values participation and interaction due to the nature of SNS, so SNS advertisements should be produced in a way that induces active interaction with viewers and accepts feedback. Here's a summary of the main parts. It prefers various content formats of Generation Z that consume information. Advertisements should be produced in various formats such as text, images, and videos, and should have flexibility suitable for various platforms. Because each SNS platform has its own characteristics due to platform specialization, this study suggests that advertisements analyze the characteristics of the platform and use the appropriate content strategy for the optimized platform. As an emphasis on value proposition, we propose an advertising format setting to focus on what value the product or brand provides. It is important to clearly emphasize the advantages and intrinsic value of a product or service in video advertising, and in conclusion, we propose to focus on the case of increasing interest by adopting modern and trendy design of storytelling as an attractive and unique design method of aesthetic design and visual effects. Considering these factors comprehensively, the research value of this paper will be able to establish an effective SNS marketing strategy by producing video advertisements that match the lifestyle and SNS usage characteristics of Generation Z.

Literary Text and the Cultural Interpretation - A Study of the Model of 「History of Spanish Literature」 (문학텍스트와 문학적 해석 -「스페인 문학사」를 통한 모델 연구)

  • Na, Songjoo
    • Cross-Cultural Studies
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    • v.26
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    • pp.465-485
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    • 2012
  • Instructing "History of Spanish Literature" class faces various types of limits and obstacles, just as other foreign language literature history classes do. Majority of students enter the university without having any previous spanish learning experience, which means, for them, even the interpretation of the text itself can be difficult. Moreover, the fact that "History of Spanish Literature" is traced all the way back to the Middle Age, students encounter even more difficulties and find factors that make them feel the class is not interesting. To list several, such factors include the embarrassment felt by the students, antiquated expressions, literature texts filled with deliberately broken grammars, explanations written in pretentious vocabularies, disorderly introduction of many different literary works that ignores the big picture, in which in return, reduces academic interest in students, and finally general lack of interest in literate itself due to the fact that the following generation is used to visual media. Although recognizing such problem that causes the distortion of the value of our lives and literature is a very imminent problem, there has not even been a primary discussion on such matter. Thus, the problem of what to teach in "History of Spanish Literature" class remains unsolved so far. Such problem includes wether to teach the history of authors and literature works, or the chronology of the text, the correlations, and what style of writing to teach first among many, and how to teach to read with criticism, and how to effectively utilize the limited class time to teach. However, unfortunately, there has not been any sorts of discussion among the insructors. I, as well, am not so proud of myself either when I question myself of how little and insufficiently did I contemplate about such problems. Living in the era so called the visual media era or the crisis of humanity studies, now there is a strong need to bring some change in the education of literature history. To suggest a solution to make such necessary change, I recommended to incorporate the visual media, the culture or custom that students are accustomed to, to the class. This solution is not only an attempt to introduce various fields to students, superseding the mere literature reserch area, but also the result that reflects the voice of students who come from a different cultural background and generation. Thus, what not to forget is that the bottom line of adopting a new teaching method is to increase the class participation of students and broaden the horizon of the Spanish literature. However, the ultimate goal of "History of Spanish Literature" class is the contemplation about humanity, not the progress in linguistic ability. Similarly, the ultimate goal of university education is to train students to become a successful member of the society. To achieve such goal, cultural approach to the literature text helps not only Spanish learning but also pragmatic education. Moreover, it helps to go beyond of what a mere functional person does. However, despite such optimistic expectations, foreign literature class has to face limits of eclecticism. As for the solution, as mentioned above, the method of teaching that mainly incorporates cultural text is a approach that fulfills the students with sensibility who live in the visual era. Second, it is a three-dimensional and sensible approach for the visual era, not an annotation that searches for any ambiguous vocabularies or metaphors. Third, it is the method that reduces the burdensome amount of reading. Fourth, it triggers interest in students including philosophical, sociocultural, and political ones. Such experience is expected to stimulate the intellectual curiosity in students and moreover motivates them to continues their study in graduate school, because it itself can be an interesting area of study.

Effective Text Question Analysis for Goal-oriented Dialogue (목적 지향 대화를 위한 효율적 질의 의도 분석에 관한 연구)

  • Kim, Hakdong;Go, Myunghyun;Lim, Heonyeong;Lee, Yurim;Jee, Minkyu;Kim, Wonil
    • Journal of Broadcast Engineering
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    • v.24 no.1
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    • pp.48-57
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    • 2019
  • The purpose of this study is to understand the intention of the inquirer from the single text type question in Goal-oriented dialogue. Goal-Oriented Dialogue system means a dialogue system that satisfies the user's specific needs via text or voice. The intention analysis process is a step of analysing the user's intention of inquiry prior to the answer generation, and has a great influence on the performance of the entire Goal-Oriented Dialogue system. The proposed model was used for a daily chemical products domain and Korean text data related to the domain was used. The analysis is divided into a speech-act which means independent on a specific field concept-sequence and which means depend on a specific field. We propose a classification method using the word embedding model and the CNN as a method for analyzing speech-act and concept-sequence. The semantic information of the word is abstracted through the word embedding model, and concept-sequence and speech-act classification are performed through the CNN based on the semantic information of the abstract word.

Analysis of Research Trends in Relation to the Yellow Sea using Text Mining (텍스트 마이닝을 활용한 황해 관련 연구동향 분석연구)

  • Kyu Won Hwang;Kim Jinkyung;Kang Seung-Koo;Kang Gil Mo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.724-739
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    • 2023
  • Located in the sea area between South Korea, North Korea, and China, the Yellow Sea plays an important role from a geopolitical perspective, and recently, as the use of marine space in the Yellow Sea is expanding, its social and economic values have been increasing further. In addition, owing to rapid climate changes, the need for joint response and cooperation between Korea and China is increasing in various fields, including changes in the marine environment and marine ecosystem and generation and movement of air pollutants. Accordingly, in this study, core topics were derived from research papers with the Yellow Sea as a keyword, and research trends to date were explored through author network analysis. As a specific research method, research papers related to the Yellow Sea published between 1984 and 2021 were extracted from the Web of Science database and were classified into four periods to derive core topics using topic modeling, a type of text mining. Furthermore, the influences of major research communities, researchers, and research institutes in the appropriate fields were identified through analyzing the author network, and their implications were presented. The analysis results indicated that the core topics of research papers on the Yellow Sea had changed over time, and differences existed in the influence (centrality) of key researchers. Finally, based on the results of this study, this study aims to identify research trends related to the Yellow Sea, major researchers, and research institutes and contribute to research cooperation between Korea and China regarding the Yellow Sea in the future.

Development of SVM-based Construction Project Document Classification Model to Derive Construction Risk (건설 리스크 도출을 위한 SVM 기반의 건설프로젝트 문서 분류 모델 개발)

  • Kang, Donguk;Cho, Mingeon;Cha, Gichun;Park, Seunghee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.6
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    • pp.841-849
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    • 2023
  • Construction projects have risks due to various factors such as construction delays and construction accidents. Based on these construction risks, the method of calculating the construction period of the construction project is mainly made by subjective judgment that relies on supervisor experience. In addition, unreasonable shortening construction to meet construction project schedules delayed by construction delays and construction disasters causes negative consequences such as poor construction, and economic losses are caused by the absence of infrastructure due to delayed schedules. Data-based scientific approaches and statistical analysis are needed to solve the risks of such construction projects. Data collected in actual construction projects is stored in unstructured text, so to apply data-based risks, data pre-processing involves a lot of manpower and cost, so basic data through a data classification model using text mining is required. Therefore, in this study, a document-based data generation classification model for risk management was developed through a data classification model based on SVM (Support Vector Machine) by collecting construction project documents and utilizing text mining. Through quantitative analysis through future research results, it is expected that risk management will be possible by being used as efficient and objective basic data for construction project process management.

Secure One-Time Password Authentication in Mobile Environments (모바일 환경에서 안전한 일회용 패스워드 인증)

  • Kim, Dong-Ryool
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.423-430
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    • 2013
  • With the active Internet e-commerce and the financial sector, mutual authentication between users and service providers has become very important. Because ID- and password-based authentication is of low security, one-time password authentication methods are widely used. The existing one-time password authentication scheme of S/Key authentication method is fraught with a number of issues in addition to plain text transmission, and the method of Kim Gong-ki et al. does not offer suggestions for session key generation and distribution method. Proposed in this paper is a protocol that solves these problems.

u-SPACE: ubiquitous Smart Parenting And Customized Education (u-SPACE: 육아 보조 및 맞춤 교육을 위한 유비쿼터스 시스템)

  • Min, Hye-Jin;Park, Doo-Jin;Chang, Eun-Young;Lee, Ho-Joon;Park, Jong-C.
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.94-102
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    • 2006
  • 부모의 사회 활동 시간이 늘어남에 따라 아이들이 혼자 집에서 보내는 시간도 늘어나고 있다. 따라서 아이들의 자립심을 크게 제한하지 않으면서 노출되기 쉬운 실내 위험으로부터 아이들을 보호하고 아이의 심리, 감정적 상태에 따라 적절한 지도를 해주는 도움이 필요하다. 본 연구에서는 RFID 기술을 기반으로 아이들을 물리적 위험으로부터 보호하고 자연언어처리 기술을 이용하여 아이의 심리, 감정 상태에 따른 음악과 애니메이션의 멀티미디어 콘텐츠를 제공한다. 또한 지속적인 관심이 필요한 일정 관리, 일상 생활에서 도움을 주는 전자제품 사용법 안내 등의 정보를 제공하여 아이 스스로 자신의 일을 할 수 있도록 도움을 준다. 본 연구에서는 가상의 가정을 디자인하여 실현 가능한 시나리오를 중심으로 이와 같은 서비스를 시뮬레이션 한 결과를 보인다.

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