• Title/Summary/Keyword: semantic topic

검색결과 190건 처리시간 0.043초

Article Recommendation based on Latent Place Topic (장소에 내재된 토픽 기반 기사 추천)

  • Noh, Yunseok;Son, Jung-Woo;Park, Seong-Bae;Park, Se-Young;Lee, Sang-Jo
    • Annual Conference on Human and Language Technology
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    • 한국정보과학회언어공학연구회 2011년도 제23회 한글 및 한국어 정보처리 학술대회
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    • pp.41-46
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    • 2011
  • 스마트폰의 대중화와 함께 그에 내장된 GPS를 활용하여 컨텐츠를 제공하는 서비스들이 점차 늘어나고 있다. 그러나 이런 컨텐츠를 단지 위도, 경도 좌표 정보만을 기초로 구성하게 되면 실제 그 위치가 가지는 의미적 특성을 제대로 반영하지 못하게 된다. 사용자의 위치를 기반으로 그에 맞는 서비스를 제공하기 위해서는 장소의 토픽을 고려해야한다. 본 논문은 장소에 내재된 토픽을 바탕으로 한 기사 추천 방법을 제안한다. 장소와 관련된 문서로부터 장소의 토픽을 표현하고 그 토픽을 기사 추천에 이용한다. 제안한 방법이 실제로 장소에 내재된 토픽을 잘 반영함을 보이고 또한 이를 바탕으로 장소와 관련된 적합한 기사를 추천하는 것을 보여준다.

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Definiteness Effect: Definiteness Restriction and Indefiniteness Restriction (한정성 효과: 한정성 제약과 비한정성 제약)

  • 전영철
    • Language and Information
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    • 제6권2호
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    • pp.83-104
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    • 2002
  • I argue that Definiteness Effect (DE) should include Indefiniteness Restriction (IR) as well as Definiteness Restriction (DR). DR is exhibited by existential constructions, predicate nominals, inalienable possession constructions, and verbs with semantic features like 〔((CAUSE TO) COME TO) EXIST〕. IR is caused by some existence presupposition of aspectual adverbs, aspectual verbs, repetitives, and topic markers. The environments for DR and IR determine the (in)definiteness of Korean bare noun phrases which otherwise can be used either way. The neutralization of DR is also induced by focus which imposes a certain amount of structure on the event quantification. Van der Sandt's (1992) Presuppositions-as- Anaphora-Theory is effectively used to account for those examples from DR, ID, and the neutralization of BR.

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Subject-Object Asymmetries of Morphological Case Realization

  • Ahn, Hee-Don;Cho, Sung-Eun
    • Language and Information
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    • 제11권1호
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    • pp.53-76
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    • 2007
  • Case markers in Korean are omissible in colloquial speech. Previous discourse studies of Caseless bare NPs in Korean show that the information structure of zero Nominative not only differs from that of overt Nominative but it also differs from that of zero Accusative in many respects. This paper aims to provide a basis for these semantic/pragmatic properties of Caseless NPs through the syntactic difference between bare subjects and bare objects: namely, the former are left-dislocated NPs, whereas the latter form complex predicates with the subcategorizing verbs. Our analysis will account for the facts that (i) the distribution of bare subject NPs are more restricted than that of bare object NPs; (ii) bare subject NPs must be specific or topical; (iii) Acc-marked NPs in canonical position tend to be focalized.

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3D Virtual Environment Tour Guide through Semantic Search (세만틱 서치를 통한 3차원 가상환경 투어가이드)

  • 김학근;유석종;임순범;최윤철
    • Proceedings of the Korea Multimedia Society Conference
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    • 한국멀티미디어학회 2004년도 춘계학술발표대회논문집
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    • pp.563-566
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    • 2004
  • 본 논문에서는 월드와이드 웹에서 사용하고 있는 의미기반의 서치기법, 즉 Topic Map을 이용하여 3차원 가상환경에 위치한 목적지를 찾아가는 탐색항해 도구를 제안한다. 3차원 가상환경을 효과적으로 활용하기 위해서 사용자는 환경 내부의 방문할만한 장소들의 위치를 파악하고 그곳까지 도달하기 위한 탐색항해 기술에 익숙해 있어야 한다. 지금까지는 환경 구조의 중요 지점만을 정리한 형태의 정보를 제공하는 방법이 주로 연구되고 있다. 그러나 사용자는 환경에 대해서 공간적 정보만으로 이해하지 않는다. 그보다는 환경 위에서 다루어지는 여러 주제들을 통해 환경을 이해하고 또한 타인과 정의를 교환한다. 의미기반의 서치 기법을 통한 탐색항해는 환경구조에 익숙하지 않은 사용자라도 효과적으로 목표를 찾을 수 있으며, 환경을 구성하는 객체들의 위치가 자주 변하더라도 사용자에게 동일한 탐색항해 환경을 제공할 수 있으리라 기대한다.

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Identifying Issue Changes of AI Chatbot 'Iruda' Case and Its Implications (AI 챗봇 '이루다' 논란의 이슈 변화와 시사점)

  • Choi, S.S.;Hong, A.R.
    • Electronics and Telecommunications Trends
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    • 제36권2호
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    • pp.93-101
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    • 2021
  • The controversy over Artificial Intelligence (AI) chatbot "Iruda," which suspended its service 20 days after its launch, can be seen as the first case to inform the public of AI ethics issues. Based on this context, this study examines the controversy and social semantic formation of "Iruda" service cases using news topic modeling techniques. 963-news articles were used for the analysis, and the event's duration was analyzed based on major events, such as service start, controversy, and suspension, to understand the progress. From the analyses results, we obtain major keywords and a total of 16 topics (5, 4, 7) from the period. Finally, the implications for the development and utilization of AI services obtained through this controversy were discussed based on the analysis results.

Topic-Based Multi-Document Summarization using Semantic Features of Documents (문서의 의미특징을 이용한 주제 기반의 다중문서 요약)

  • Park, Sun;An, Dong Un;Kim, Chul-Won
    • Annual Conference of KIPS
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    • 한국정보처리학회 2009년도 추계학술발표대회
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    • pp.715-716
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    • 2009
  • 인터넷의 발전은 대량의 정보를 양산하였고, 이러한 대량의 정보 집합 내에서는 비슷한 정보가 재활용 되거나 반복되는 정보중복문제를 가지고 있다. 중복되는 정보들로부터 사용자에게 원하는 정보를 신속히 검색할 수 있도록 하는 정보 요약에 대한 필요성은 점차 증가하고 있다. 본 논문은 비음수 행렬 인수분해(NMF, non-negative matrix factorization)에 의한 문서의 의미특징을 이용하여 주제기반의 다중문서를 요약하는 새로운 방법을 제안한다. 본 논문에서는 다중문서가 포함하고 있는 문서들 간의 고유구조를 문서요약에 이용하여서 요약의 질을 높일 수 있고, 주제와 문장 간의 유사성과 다양성 고려하여서 쉽게 과잉정보를 제거하여 문장을 요약할 수 있는 장점을 갖는다.

Toon Image Generation of Main Characters in a Comic from Object Diagram via Natural Language Based Requirement Specifications

  • Janghwan Kim;Jihoon Kong;Hee-Do Heo;Sam-Hyun Chun;R. Young Chul Kim
    • International journal of advanced smart convergence
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    • 제13권1호
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    • pp.85-91
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    • 2024
  • Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

Technique for Concurrent Processing Graph Structure and Transaction Using Topic Maps and Cassandra (토픽맵과 카산드라를 이용한 그래프 구조와 트랜잭션 동시 처리 기법)

  • Shin, Jae-Hyun
    • KIPS Transactions on Software and Data Engineering
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    • 제1권3호
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    • pp.159-168
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    • 2012
  • Relation in the new IT environment, such as the SNS, Cloud, Web3.0, has become an important factor. And these relations generate a transaction. However, existing relational database and graph database does not processe graph structure representing the relationships and transactions. This paper, we propose the technique that can be processed concurrently graph structures and transactions in a scalable complex network system. The proposed technique simultaneously save and navigate graph structures and transactions using the Topic Maps data model. Topic Maps is one of ontology language to implement the semantic web(Web 3.0). It has been used as the navigator of the information through the association of the information resources. In this paper, the architecture of the proposed technique was implemented and design using Cassandra - one of column type NoSQL. It is to ensure that can handle up to Big Data-level data using distributed processing. Finally, the experiments showed about the process of storage and query about typical RDBMS Oracle and the proposed technique to the same data source and the same questions. It can show that is expressed by the relationship without the 'join' enough alternative to the role of the RDBMS.

Topic Model Augmentation and Extension Method using LDA and BERTopic (LDA와 BERTopic을 이용한 토픽모델링의 증강과 확장 기법 연구)

  • Kim, SeonWook;Yang, Kiduk
    • Journal of the Korean Society for information Management
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    • 제39권3호
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    • pp.99-132
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    • 2022
  • The purpose of this study is to propose AET (Augmented and Extended Topics), a novel method of synthesizing both LDA and BERTopic results, and to analyze the recently published LIS articles as an experimental approach. To achieve the purpose of this study, 55,442 abstracts from 85 LIS journals within the WoS database, which spans from January 2001 to October 2021, were analyzed. AET first constructs a WORD2VEC-based cosine similarity matrix between LDA and BERTopic results, extracts AT (Augmented Topics) by repeating the matrix reordering and segmentation procedures as long as their semantic relations are still valid, and finally determines ET (Extended Topics) by removing any LDA related residual subtopics from the matrix and ordering the rest of them by F1 (BERTopic topic size rank, Inverse cosine similarity rank). AET, by comparing with the baseline LDA result, shows that AT has effectively concretized the original LDA topic model and ET has discovered new meaningful topics that LDA didn't. When it comes to the qualitative performance evaluation, AT performs better than LDA while ET shows similar performances except in a few cases.

A Study on the Derivation of Port Safety Risk Factors Using by Topic Modeling (토픽모델링을 활용한 항만안전 위험요인 도출에 관한 연구)

  • Lee Jeong-Min;Kim Yul-Seong
    • Journal of Korea Port Economic Association
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    • 제39권2호
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    • pp.59-76
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    • 2023
  • In this study, we tried to find out port safety from various perspectives through news data that can be easily accessed by the general public and domestic academic journal data that reflects the insights of port researchers. Non-negative Matrix Factorization(NMF) based topic modeling was conducted using Python to derive the main topics for each data, and then semantic analysis was conducted for each topic. The news data mainly derived natural and environmental factors among port safety risk factors, and the academic journal data derived security factors, mechanical factors, human factors, environmental factors, and natural factors. Through this, the need for strategies to strengthen the safety of domestic ports, such as strengthening the resilience of port safety, improve safety awareness to broaden the public's view of port safety, and conduct research to develop the port industry environment into a safe and specialized mature port. As a result, this study identified the main factors to be improved and provided basic data to develop into a mature port with a port safety culture.