• Title/Summary/Keyword: model of textual communication

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Textual communication and its model (텍스트 의사소통과 그 모델)

  • Kim, Huiteak
    • Cross-Cultural Studies
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    • v.27
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    • pp.347-386
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    • 2012
  • This article aims to establish the model of textual communication and its schema. To do this, we must identify the characteristics of textual communication, different from that of the oral, because the model of communication is usually done to show the structure of oral communication. Moreover, we must clarify the status text as '${\acute{e}}nonc{\acute{e}}$', that is to say product of the act of enunciation. The study of the text has now reached to achieve from the perspective of pragmatics, overcoming the structural point of view that dominates long text linguistics. And now, we need to enrich the theoretical basis of the pragmatics of text. Then the search of elements necessary to develop the model and pattern of textual communication can help to establish the elements used to form the theoretical basis. To clarify the characteristics of textual communication, we needed to explain the present communication by the position of reader and the point of view of textual reference. The schema that we proposed is not perfect, but there are still issues to think to complete it. For example, one must take into account the plurality of readers and reflect the relationship between interpretive texts in this schema, etc. This kind of problem is not only required to complete the schema but also to strengthen the basis of the theory of textual communication and the pragmatics of text.

A Study on AI Softwear [Stable Diffusion] ControlNet plug-in Usabilities

  • Chenghao Wang;Jeanhun Chung
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.166-171
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    • 2023
  • With significant advancements in the field of artificial intelligence, many novel algorithms and technologies have emerged. Currently, AI painting can generate high-quality images based on textual descriptions. However, it is often challenging to control details when generating images, even with complex textual inputs. Therefore, there is a need to implement additional control mechanisms beyond textual descriptions. Based on ControlNet, this passage describes a combined utilization of various local controls (such as edge maps and depth maps) and global control within a single model. It provides a comprehensive exposition of the fundamental concepts of ControlNet, elucidating its theoretical foundation and relevant technological features. Furthermore, combining methods and applications, understanding the technical characteristics involves analyzing distinct advantages and image differences. This further explores insights into the development of image generation patterns.

Personalized Travel Path Recommendations with Social Life Log (소셜 라이프 로그를 이용한 개인화된 여행 경로 추천)

  • Paul, Aniruddha;Lim, Jongtae;Bok, Kyoungsoo;Yoo, Jasesoo
    • Proceedings of the Korea Contents Association Conference
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    • 2017.05a
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    • pp.453-454
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    • 2017
  • The travellers using social media leave their location history in the form of trajectories. These trajectories can be bridged for acquiring information, required for future recommendation for the future travelers, who are new to that location, providing all sort of information. In this paper, we propose a personalized travel path recommendation scheme based on social life log. By taking advantage of two kinds of social media such as travelogue and community contributed photos, the proposed scheme can not only be personalized to user's travel interest but also be able to recommend a travel path rather than individual Points of Interest (POIs). It also maps both user's and routes' textual descriptions to the topical package space to get user topical package model and route topical package model (i.e., topical interest, cost, time and season).

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An Investigation of Brand Communication in Small and Medium-sized Cities in China Based on Grounded Theory

  • QunQing Zhang;XueHua Jin
    • International journal of advanced smart convergence
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    • v.13 no.1
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    • pp.162-179
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    • 2024
  • With the acceleration of China's urbanization process, the economic development and market potential of small and medium-sized cities have been constantly enhanced, with the urbanization competition having been caught in the vortex of homogenization. However, small and medium-sized cities are exposed to limited resources and funds, and therefore need to be more flexible and innovative in the strategy implementation, while urban brand communication is one of the key factors to promote the competitiveness of cities. Taking the small and medium-sized cities in China as the research objects, this study, based on the domestic and foreign theories about the brand communication of small and medium-sized cities, as well as other city-related theories, analyzes textual materials about the current situation and new changes in brand communication of small and medium-sized cities with grounded theory, reflecting on the problems in brand communication in China's small and medium-sized cities. Combining the basic elements of urban brand communication, a model for constructing brand communication strategies for small and medium-sized cities is further proposed, so as to provide the differentiated and distinctive strategies for the construction and communication of urban brands in small and medium-sized cities in China, as well as provide a new perspective and strategy on how to enhance the competitiveness and contribute to the sustainable economic development of small and medium-sized.

Ontology Matching Method Based on Word Embedding and Structural Similarity

  • Hongzhou Duan;Yuxiang Sun;Yongju Lee
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.75-88
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    • 2023
  • In a specific domain, experts have different understanding of domain knowledge or different purpose of constructing ontology. These will lead to multiple different ontologies in the domain. This phenomenon is called the ontology heterogeneity. For research fields that require cross-ontology operations such as knowledge fusion and knowledge reasoning, the ontology heterogeneity has caused certain difficulties for research. In this paper, we propose a novel ontology matching model that combines word embedding and a concatenated continuous bag-of-words model. Our goal is to improve word vectors and distinguish the semantic similarity and descriptive associations. Moreover, we make the most of textual and structural information from the ontology and external resources. We represent the ontology as a graph and use the SimRank algorithm to calculate the structural similarity. Our approach employs a similarity queue to achieve one-to-many matching results which provide a wider range of insights for subsequent mining and analysis. This enhances and refines the methodology used in ontology matching.

Towards cross-platform interoperability for machine-assisted text annotation

  • de Castilho, Richard Eckart;Ide, Nancy;Kim, Jin-Dong;Klie, Jan-Christoph;Suderman, Keith
    • Genomics & Informatics
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    • v.17 no.2
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    • pp.19.1-19.10
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    • 2019
  • In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. The study is conducted in the context of a specific annotation methodology, namely machine-assisted interactive annotation (also known as human-in-the-loop annotation). This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text, and each of which performs a different role in the process.

Construction of Text Summarization Corpus in Economics Domain and Baseline Models

  • Sawittree Jumpathong;Akkharawoot Takhom;Prachya Boonkwan;Vipas Sutantayawalee;Peerachet Porkaew;Sitthaa Phaholphinyo;Charun Phrombut;Khemarath Choke-mangmi;Saran Yamasathien;Nattachai Tretasayuth;Kasidis Kanwatchara;Atiwat Aiemleuk;Thepchai Supnithi
    • Journal of information and communication convergence engineering
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    • v.22 no.1
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    • pp.33-43
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    • 2024
  • Automated text summarization (ATS) systems rely on language resources as datasets. However, creating these datasets is a complex and labor-intensive task requiring linguists to extensively annotate the data. Consequently, certain public datasets for ATS, particularly in languages such as Thai, are not as readily available as those for the more popular languages. The primary objective of the ATS approach is to condense large volumes of text into shorter summaries, thereby reducing the time required to extract information from extensive textual data. Owing to the challenges involved in preparing language resources, publicly accessible datasets for Thai ATS are relatively scarce compared to those for widely used languages. The goal is to produce concise summaries and accelerate the information extraction process using vast amounts of textual input. This study introduced ThEconSum, an ATS architecture specifically designed for Thai language, using economy-related data. An evaluation of this research revealed the significant remaining tasks and limitations of the Thai language.

Performance Improvement of Web Document Classification through Incorporation of Feature Selection and Weighting (특징선택과 특징가중의 융합을 통한 웹문서분류 성능의 개선)

  • Lee, Ah-Ram;Kim, Han-Joon;Man, Xuan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.4
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    • pp.141-148
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    • 2013
  • Automated classification systems which utilize machine learning develops classification models through learning process, and then classify unknown data into predefined set of categories according to the model. The performance of machine learning-based classification systems relies greatly upon the quality of features composing classification models. For textual data, we can use their word terms and structure information in order to generate the set of features. Particularly, in order to extract feature from Web documents, we need to analyze tag and hyperlink information. Recent studies on Web document classification focus on feature engineering technology other than machine learning algorithms themselves. Thus this paper proposes a novel method of incorporating feature selection and weighting which can improves classification models effectively. Through extensive experiments using Web-KB document collections, the proposed method outperforms conventional ones.

Construction of Global State Transition Graph for Verifying Telecommunications Software Specifications written in Message Chart (MSC로 기술된 통신소프트웨어 명세의 검증을 위한 전체 상태 전이 그래프 생성)

  • Kim, Byeong-Man;Kim, Hyeon-Su;Sin, Yun-Sik
    • Journal of KIISE:Software and Applications
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    • v.26 no.12
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    • pp.1428-1444
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    • 1999
  • MSC는 ITU에 의해 표준화된, 병행 시스템의 명세를 기술하기 위한 그래픽 형태와 텍스트 형태를 제공하는 언어로서 실시간 시스템 특히 통신 교환 시스템의 특성을 기술하기 위해 자주 사용된다. 통신 시스템이 제대로 동작함을 보이기 위해서는 정형적인 방법을 사용하여 시스템 행위를 검증할 필요가 있다. 통신 소프트웨어를 검증하는 방법 중 하나의 방법으로 유한 상태를 기반으로 하는 방법이 있다. 유한 상태를 기반으로 하는 방법에서는 먼저 시스템 명세에 해당하는 전체 상태 전이 그래프를 생성한 후 이를 바탕으로 model-checking 등의 방법을 사용하여 시스템의 특성을 검증한다. 본 논문에서는 MSC로 기술된 통신 소프트웨어 명세로부터 전체 상태 전이 그래프를 생성하는 방법에 초점을 맞추었다. 시스템 명세에 해당하는 상태 전이 그래프를 생성하기 위해 보다 직관적으로 MSC의 의미론을 표현할 수 있고, 또한 쉽게 전체 상태 전이 그래프를 생성할 수 있는 행위 종속 그래프를 제안하였다. MSC 명세는 일단 행위 종속 그래프로 변환이 되고 이 행위 종속 그래프를 이용하여 전체 상태 전이 그래프가 생성된다.Abstract Message Sequence Chart (MSC) standardized by International Telecommunication Union is a graphical and textual language for describing the specification of concurrent systems. It is frequently used both formally and informally for specifying the behavior of real-time systems, in particular telecommunication switching systems. To ensure that a communication system operates properly, the verification process showing the correctness of system's behavior formally is necessary. One of the verification methods is a finite-state method. In the finite-state method, the global state transition graph (GSTG) is constructed and then safety and liveness properties of systems are verified through a well-known method such as model checking. In this paper, we forcus on the construction of GSTG from the specifications of telecommunication software written in MSC. We suggest Action Dependency Graph (ADG) which can present the semantics of MSC intuitively and also provide a GSTG construction method from ADG. MSC specifications are translated to ADGs and, in turns, the GSTGs are constructed by using these ADGs.