• Journal of Information Processing Systems
• /
• 제9권4호
• /
• pp.602-620
• /
• 2013

Many previous research studies on extractive text summarization consider a subset of words in a document as keywords and use a sentence ranking function that ranks sentences based on their similarities with the list of extracted keywords. But the use of key concepts in automatic text summarization task has received less attention in literature on summarization. The proposed work uses key concepts identified from a document for creating a summary of the document. We view single-word or multi-word keyphrases of a document as the important concepts that a document elaborates on. Our work is based on the hypothesis that an extract is an elaboration of the important concepts to some permissible extent and it is controlled by the given summary length restriction. In other words, our method of text summarization chooses a subset of sentences from a document that maximizes the important concepts in the final summary. To allow diverse information in the summary, for each important concept, we select one sentence that is the best possible elaboration of the concept. Accordingly, the most important concept will contribute first to the summary, then to the second best concept, and so on. To prove the effectiveness of our proposed summarization method, we have compared it to some state-of-the art summarization systems and the results show that the proposed method outperforms the existing systems to which it is compared.

• Journal of Information Processing Systems
• /
• 제13권4호
• /
• pp.805-817
• /
• 2017

Cross-lingual query expansion is usually based on the relationship among monolingual words. Bilingual comparable corpus contains relationships among bilingual words. Therefore, this paper proposes a method based on these relationships to conduct query expansion. First, the word vectors which characterize the bilingual words are trained using Chinese and Thai bilingual comparable corpus. Then, the correlation between Chinese query words and Thai words are computed based on these word vectors, followed with selecting the Thai candidate expansion terms via the correlative value. Then, multi-group Thai query expansion sentences are built by the Thai candidate expansion words based on Chinese query sentence. Finally, we can get the optimal sentence using the Chinese and Thai query expansion method, and perform the Thai query expansion. Experiment results show that the cross-lingual query expansion method we proposed can effectively improve the accuracy of Chinese and Thai cross-language information retrieval.

• 산경연구논집
• /
• 제12권2호
• /
• pp.19-27
• /
• 2021

Purpose: This study investigated the impact of key factors such as service quality, perceived benefit and brand familiarity on a consumer's intention to order online food delivery (OFD). In addition, mediating effect of electronic word of mouth (e-WOM) between relationships among selected key variables and OFD purchase intention is also assessed. Research design, data and methodology: This explanatory, quantitative study employed convenience sampling and collected data through online structured questionnaire from 304 respondents who are users of OFD apps based in greater Klang valley region of Malaysia. The data was then subjected to normality and reliability assessment followed by confirmatory factor analysis, validity assessment and structural equation modelling using IBM SPSS AMOS 24.0. Results: Findings revealed that service quality, perceived benefits and brand familiarity affects purchase intention positively and significantly. Perceived benefits demonstrated highest impact on purchase intention followed by brand familiarity and service quality. Findings also suggest that e-WOM fully mediates relationship between brand familiarity and purchase intention, however, the same was not observed for remaining two variables. Conclusions: The study has enriched OFD literature by investigating impact of selected key factors on purchase intention in the context of OFD. Implications, limitations and future research avenues are then discussed.

• 복식문화연구
• /
• 제25권1호
• /
• pp.1-15
• /
• 2017

Social commerce is a kind of internet shopping mall in which consumers purchase the products with other consumers through mutual interactions including the development of SNS(social network service). Social commerce has expanded rapidly as a mainstream online shopping mall over the past five years driving consumers to purchase more fashion products providing the cheaper prices than open market internet shopping mall. The purpose of this study is to identify the important parameters of social commerce characteristics and consumer characteristics that affect repurchase intention and word-of-mouth intention. A 221 survey questionnaire was distributed to men in their 20's and 30's who live in Seoul metropolitan area. The data were analyzed utilizing Cronbach's ${\alpha}$, factor analysis, and regression analysis using the SPSS 18.0 program. The results revealed, first, that in terms of social commerce characteristics, three variables(website reputation, interactivity, and product scarcity) influenced repurchase intention. Among them, website reputation identified as the most important factor influencing repurchase intention and word-of-mouth intention. Second, with regard to consumer characteristics, interest and a tendency toward impulse buying affected the repurchase intention, and interest and internet shopping experience have influenced the word-of-mouth intention. Among three variables interest in social commerce identified as the key factor affecting both repurchase intention and word-of-mouth intention. The results of the study provide the practical implications and suggest the business strategies to enhance social commerce in the future by identifying the key social commerce characteristics and consumer characteristics that influence male consumers' buying behaviors.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
• /
• 한국정보과학회언어공학연구회 2014년도 제26회 한글 및 한국어 정보처리 학술대회
• /
• pp.193-196
• /
• 2014

본 논문에서는 사전자원에 기반한 한국어 워드넷(Open Korean WordNet: KWN)의 반자동 구축 방법을 제안한다. 제안한 방법에서는 각 전문분야별로 분류된 영어-한국어 대역사전, 일본어-한국어 대역사전을 이용하여 영어 워드넷(Princeton WordNet 3.0)과 일본어 워드넷(Japanese WordNet 1.1)의 어휘를 번역하였다. 그리고 번역 결과의 애매성을 해소하기 위하여, (1)영어와 일본어에 대한 한국어 대역어의 중복 여부, (2)사전의 분야 정보와 워드넷의 계층구조를 고려하였다. 제안한 방법으로 117,659 개의 워드넷 synset 중 63,221 개(약 54 %)의 synset에 대한 자동번역을 수행하여 한국어 워드넷을 구축하였다. 그리고 워드넷 synset의 정의문은 한국어 사전의 정의문을 참조하여 한글화 할 수 있도록 하고, 이 과정을 지원하기 위한 정의문 추천 알고리즘을 제안한다. 제안한 방법에 기반하여 전문가들이 상호 협력하여 한국어 워드넷을 구축할 수 있는 시스템을 개발한다.

• 한국멀티미디어학회논문지
• /
• 제25권2호
• /
• pp.335-344
• /
• 2022

In recent years, Internet Word of Mouth (IWOM) as an important way for internet consumers to obtain product information, it has become a key factor influencing consumers purchase intention. However, does IWOM also affect consumers' willingness to buy in the E-commerce live broadcast environment? What online IWOM can make a difference? And how? This study establishes a theoretical model of the impact of IWOM on consumer purchase intention in Chinese E-commerce live broadcast. Questionnaire data were collected from 204 people through the internet, with the model and the hypotheses are tested by SPSS 21.0 software. The research results show that: Firstly, the influencing factors of IWOM in the E-commerce live broadcast are different from those in general E-commerce. Secondly, anchor traits, word of mouth quantity, and product involvement have a positive impact on consumers purchase intentions, but the strength of relationship, word of mouth quality and Word of mouth timeliness do not have significantly direct effect on consumers' purchase intentions. Finally, conclusion with theoretical references and practical suggestions for E-commerce live broadcast merchants that may enter the Chinese market.

• 한국수학교육학회지시리즈D:수학교육연구
• /
• 제15권4호
• /
• pp.311-325
• /
• 2011

In this paper I propose that teaching students the most efficient method of problem solving may curtail students' creativity. Instead it is important to arm students with a variety of problem solving heuristics. It is the students' responsibility to decide which heuristic will solve the problem. The chosen heuristic is the one which is meaningful to the students.

• JSTS:Journal of Semiconductor Technology and Science
• /
• 제1권1호
• /
• pp.31-39
• /
• 2001

W polymetal gate technology for giga bit DRAM are presented. Key module processes for polymetal gate are studied in detail. $W/WN_x/poly-silicon$ adopted for a word line of 256Mbit DRAM has good gate oxide integrity and junction leakage characteristics through full integration, which is comparable to those of conventional $WSi_x$/Poly-silicon gate process. These results undoubtedly show that $W/WN_x/poly-silicon$ is the strongest candidate as a word line for Giga bit DRAM.

• 한국언어정보학회:학술대회논문집
• /
• 한국언어정보학회 1995년도 Language, Information and Computation = Proceedings of the 10th Pacific Asia Conference, Hong Kong
• /
• pp.121-126
• /
• 1995

A new method for Chinese word segmentation named Conditional F'||'&'||'BMM (Forward and Backward Maximal Matching) which incorporates both bigram statistics (ie., mutual infonllation and difference of t-test between Chinese characters) and linguistic rules for ambiguity resolution is proposed in this paper The key characteristics of this model are the use of: (i) statistics which can be automatically derived from any raw corpus, (ii) a rule base for disambiguation with consistency and controlled size to be built up in a systematic way.

• Educational Technology International
• /
• 제10권2호
• /
• pp.145-166
• /
• 2009

The purpose of this study was to investigate why advance organizers (AO) are effective in promoting comprehension and mental model formation in terms of cognitive load. Two experimental groups: a concept-map AO group and a key-word AO group and one control group were used. This study considered cognitive load in view of Baddeley's working memory model: central executive (CE), phonological loop (PL), and visuo-spatial sketch pad (VSSP). The present experiment directly examined cognitive load using dual task methodology. The results were as follows: central executive (CE) suppression task achievement for the concept map AO group was higher than the key word AO group and control group. Comprehension and mental model construction for the concept map AO group were higher than the other groups. These results indicated that the superiority of concept map AO owing to CE load decrement occurred with comprehension and mental model construction in learning. Thus, the available resources produced by CE load reduction may have been invested for comprehension and mental model construction of learning contents.