• Journal of Information Processing Systems
• /
• v.13 no.5
• /
• pp.1103-1125
• /
• 2017

This paper aims to extract an ObjectProperty-UsageMethod relation, in particular the HerbalMedicinalProperty-UsageMethod relation of the herb-plant object, as a semantic relation between two related sets, a herbal-medicinal-property concept set and a usage-method concept set from several web documents. This HerbalMedicinalProperty-UsageMethod relation benefits people by providing an alternative treatment/solution knowledge to health problems. The research includes three main problems: how to determine EDU (where EDU is an elementary discourse unit or a simple sentence/clause) with a medicinal-property/usage-method concept; how to determine the usage-method boundary; and how to determine the HerbalMedicinalProperty-UsageMethod relation between the two related sets. We propose using N-Word-Co on the verb phrase with the medicinal-property/usage-method concept to solve the first and second problems where the N-Word-Co size is determined by the learning of maximum entropy, support vector machine, and naïve Bayes. We also apply naïve Bayes to solve the third problem of determining the HerbalMedicinalProperty-UsageMethod relation with N-Word-Co elements as features. The research results can provide high precision in the HerbalMedicinalProperty-UsageMethod relation extraction.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.12
• /
• pp.1581-1590
• /
• 2001

This paper asserted more developmental model of WSD(word sense disambiguation) than J. Hur(2000)'s WSD model. This model suggested an improved statistical homonym disambiguation Model based on Bayes Theory. This paper using semantic information(co-occurrence data) obtained from definitions of part of speech(POS) tagged UMRD-S(Ulsan university Machine Readable Dictionary(Semantic Tagged)). we extracted semantic features in the context as nouns, predicates and adverbs from the definitions in the korean dictionary. In this research, we make an experiment with the accuracy of WSD system about major nine homonym nouns and new seven homonym predicates supplementary. The inner experimental result showed average accuracy of 98.32% with regard to the most Nine homonym nouns and 99.53% for the Seven homonym predicates. An Addition, we save test on Korean Information Base and ETRI's POS tagged corpus. This external experimental result showed average accuracy of 84.42% with regard to the most Nine nouns over unsupervised learning sentences from Korean Information Base and ETRI Corpus, 70.81 ％ accuracy rate for the Seven predicates from Sejong Project phrase part tagging corpus (3.5 million phrases) too.

• Journal of KIISE:Software and Applications
• /
• v.36 no.5
• /
• pp.420-429
• /
• 2009

Patent text is a rich source for discovering technological trends. In order to automate such a discovery process, we attempt to identify phrases corresponding to the problem and its solution method which together form a technology. Problem and solution phrases are identified by a SVM classifier using features based on a combination of a language modeling approach and linguistic clues. Based on the occurrence statistics of the phrases, we identify the time span of each problem and solution and finally generate a trend. Based on our experiment, we show that the proposed semantic phrase identification method is promising with its accuracy being 77% in R-precision. We also show that the unsupervised method for discovering technological trends is meaningful.

• Language and Information
• /
• v.4 no.2
• /
• pp.107-124
• /
• 2000

This paper reports the syntactic distribution of amu-N-to/-ilato/-ina phrase, which are representative polarity sensitive items. (PSIs) in Korean, and ac- counts for their semantic characteristics in therms of "arbitrary choice quantification" and "concession" In the first section, we extensively illustrate the distributional behaviour of the PSIs in various costructions and roughly generalize the distribu- tion in terms of "(anti/non-) verdicality" Section 2 claims amu denotes an arbi- trary choice quantifier and the particles -to/-ilato/-ina as "concessive" markers, so the compounds denote a special element in a pragmatic scale determined by con- text/situation, Section 3. based on the pragmatics of scalar implicature, accounts for the apparent ambiguity of PSIs between "universal"and "existential"readings and further characterizes the difference among the concessive markers -to/-ilato/-ina in terms of "quantity/ quality scale."rkers -to/-ilato/-ina in terms of "quantity/ quality scale."

• The Research Journal of the Costume Culture
• /
• v.2 no.2
• /
• pp.317-335
• /
• 1994

The purpose of this thesis is to analyze the relation of the mentalistics linguistics and costume, and to clarify the relationship between language as psychological expressions and costume to understand the phenomena of human costume behavior more deeply and comprehensively. As for the analysis of he costume phenomena, Noam Chomsky's psychological linguistic theory were applied to costume system. In this respect, particularly, by means of Chomsky's later theory(1965), the costume behavior were analyzed. The followings are the findings of the analysis : 1. The Syntactic Component: (※ See Full-Text) 2. The Semantic Component. The costme behavior is similar to a language system. Just as one morpheme or a phrase and phrases make different sentences, so various methods wearing costume make different sentences, so various methods wearing costume make different forms is costume. Language and costume have dictionary entry showing the meaning of vocabulary, and rules combining the individual meaning of the dictionary entry to complete the sentence.

• International Journal of Contents
• /
• v.2 no.1
• /
• pp.17-21
• /
• 2006

In this paper, we describe a concept-based question-answering system in which concept rather than keyword itself makes an important role on both question analysis and answer extraction. Our idea is that concepts occurred in same type of questions are similar, and if a question is analyzed according to those concepts then we can extract more accurate answer because we know the semantic role of each word or phrase in question. Concept frame is defined for each type of question, and it is composed of important concepts in that question type. Currently the number of question type is 79 including 34 types for person, 14 types for location, and so on. We experiment this concept-based approach about questions which require person s name as their answer. Experimental results show that our system has high accuracy in answer extraction. Also, this concept-based approach can be used in combination with conventional approaches.

• Speech Sciences
• /
• v.7 no.4
• /
• pp.187-202
• /
• 2000

The negative sentence may have an ambiguity depending on which constituent of the sentence is negated. In case of sentence final adverbials, whether they are included in the scope of negation generates the semantic ambiguity. Since sentences with ambiguous meanings have the same word order, the differences of the meanings in different contexts should be manifested with intonational cues. This article represents how intonation contributes to the disambiguation in negative sentences with ambiguity and which phonological/phonetic cues are specifically used in the course of the disambiguation.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10a
• /
• pp.31-33
• /
• 2003

웹은 사람만이 읽을 수 있는 자연언어 문장들로 구성되어있다. 웹을 기계가 이해할 수 있게 하기 위해 의미적 표기로 구성되어야 한다. 광대한 웹의 성격상 수작업으로 이를 해결할 수는 없다. 따라서 본 연구에서는 링크 파서 및 개념그래프를 사용하여 자연어 문장을 지식표현으로 변환하고 이에 대한 검색을 다룬다. 기존의 연구에서는 3쌍으로 이루어진 지식표현과 검색으로 접근하고 있다. 그러나 이 경우 각 구(Phrase) 사이에 관계를 표현할 수가 없다. 또한 동의어 및 다의어에 대한 문제가 발생한다. 본 연구에서는 이 문제를 해결하기 위해 개념그래프를 사용하여 단어 사이의 의미를 표현하며 동의어 및 다의어 문제를 해결하기 위해 다중 단어로 된 동의어 즉 동일구(Paraphrase)를 사용한다. 이 경우 의미검색에서 다의어 및 동의어 문제가 개선됨을 보였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.07b
• /
• pp.451-453
• /
• 2005

본 논문에서는 한국어에 있어 '에, 로'를 격표지로 하는 부사격에 대한 의미역 결정 모델에 대해 다루고 있다. 의미역 결정은 의미 분석의 핵심 과정 중 하나이고 자연언어처리에서 해결해야 할 중요한 문제이다. 본 논문은 기존 연구와 언어학 논저를 참고해서 의미역 결정에 유용한 자질들을 정리하였고 SVM을 이용하여 의미역 결정 모델을 구축하였다. 또한 기존 연구와 차별적으로 기능동사 구문의 처리와 지배소 개념의 유사도 보정 방법을 사용하여 보다 견고한 모델을 만들 수 있었다. 성능 평가 결과 개념(Concept)만을 사용한 기본 모델에 비해서 평균 $9\%$의 정확률 향상을 보였다.

• Language and Information
• /
• v.6 no.1
• /
• pp.105-121
• /
• 2002

This paper investigates the effect of semantic argument structure on the comprehension and production of sentences by observing the prosodic realizations of English secondary predications. Specifically, the goal of this study is to show how the theory of predication, argument structure, and focus semantically interact to account for similarities and differences between English resultative and depictive predications. To address this issue, production and comprehension tests were performed. In the fried focus domain (verb phrase), subjects were asked to utter and to comprehend ambiguous sentences in the context monologues. The experimental results were generally consistent with general linguistic analyses: In the resultative constructions, secondary subject NPs tend to be accented, as in other argument-head constructions, while in the depictive constructions, secondary predicates tend to have accents, as in other adjunct-head constructions.