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Semantic Role Labeling using Biaffine Average Attention Model (Biaffine Average Attention 모델을 이용한 의미역 결정)

  • Nam, Chung-Hyeon;Jang, Kyung-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.662-667
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    • 2022
  • Semantic role labeling task(SRL) is to extract predicate and arguments such as agent, patient, place, time. In the previously SRL task studies, a pipeline method extracting linguistic features of sentence has been proposed, but in this method, errors of each extraction work in the pipeline affect semantic role labeling performance. Therefore, methods using End-to-End neural network model have recently been proposed. In this paper, we propose a neural network model using the Biaffine Average Attention model for SRL task. The proposed model consists of a structure that can focus on the entire sentence information regardless of the distance between the predicate in the sentence and the arguments, instead of LSTM model that uses the surrounding information for prediction of a specific token proposed in the previous studies. For evaluation, we used F1 scores to compare two models based BERT model that proposed in existing studies using F1 scores, and found that 76.21% performance was higher than comparison models.

A Study on the Peirce's Semiotics and Understanding of Symbol Marks (퍼어스 기호론과 심볼마크의 이해)

  • Hwang, Hyun-Taik
    • Archives of design research
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    • v.18 no.1 s.59
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    • pp.5-16
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    • 2005
  • As for the public, it is hard to understand semiotics because of the scope of an enormous semiotics education. This study is making semiotics of Charles Sanders Peirce the subject. I thought that utilization can hold his semiotics study in a visual design field. First of all, this study considered design related papers related to the existing semiotics again and study found an error of the existing semiotics study and understanding did category concept with re-definition about semiotics of Peirce. Explained a symbol mark through understanding of semiotics of Peirce. This study was able to get the following conclusion through these results. 1) A symbol mark means one product, sonics, company oneself with a custom. Therefore, it is a rule symbol in the Representation side. 2) A symbol mark symbolizes an object with one symbol, so a symbol mark is a symbol in an object. 3) Because a symbol mark exists through a social rule, in semiotics definition of Peirce, this must become understanding with a Argument symbol. 4) A symbol mark is what a company or an organization field used from the past, and the public are recognizing this how. Therefore, it works as fact a company attaches a symbol mark to own product, and to show the public a symbol mark. A symbol mark is Dicent Sign in Interpretant. A rule and understanding about a lot of types which have various mutual relation, Peirce classification and understanding of a symbol mark tells to demand is holding that understanding a type of semiotics with the concept that is not an image to us.

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Semantic Clustering of Predicates using Word Definition in Dictionary (사전 뜻풀이를 이용한 용언 의미 군집화)

  • Bae, Young-Jun;Choe, Ho-Seop;Song, Yoo-Hwa;Ock, Cheol-Young
    • Korean Journal of Cognitive Science
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    • v.22 no.3
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    • pp.271-298
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    • 2011
  • The lexical semantic system should be built to grasp lexical semantic information more clearly. In this paper, we studied a semantic clustering of predicates that is one of the steps in building the lexical semantic system. Unlike previous studies that used argument of subcategorization(subject and object), selectional restrictions and interaction information of adverb, we used sense tagged definition in dictionary for the semantic clustering of predicate, and also attempted hierarchical clustering of predicate using the relationship between the generic concept and the specific concept. Most of the predicates in the dictionary were used for clustering. Total of 106,501 predicates(85,754 verbs, 20,747 adjectives) were used for the test. We got results of clustering which is 2,748 clusters of predicate and 130 recursive definition clusters and 261 sub-clusters. The maximum depth of cluster was 16 depth. We compared results of clustering with the Sejong semantic classes for evaluation. The results showed 70.14% of the cohesion.

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Topic Continuity in Korea Narrative (한국 설화문에서의 화제표현의 연속성)

  • Hi-JaChong
    • Korean Journal of Cognitive Science
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    • v.2 no.2
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    • pp.405-428
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    • 1990
  • Language has a social function to communicate information. Linguists have gradually paid their attention to the function of language since the nineteen sixties, especially to the relationship of form, meaning and the function. The relationship could be more clearly grasped through disciyrse-based analysis than through sentence-based analysis. Many researches were centered on the discourse functional notion of topic. In the early 1970's the subject was defined as the grammatiocalized topic the topic as a discrete single constituent of the clause. In the late 1970's several lingusts including Givon suggerted that the topic was not an atomic, disctete entity, and that the clause could have more than one topic. The purpose of the present study is, following Givon, to study grammatical coding devices of topic and to measure the relative topic continuity/discontinuity of participant argu, ents in Korean narratives. By so doing, I would like to shed some light on effective ways of communicating information. The grammatical coding devices analyzed are the following eight structures: zero-anaphora, personal pronous, demonstrative pronouns, names, noun phrases following demonstratives, noun phrases following possessives, definite noun phrases and indefinite referentials. The narrative studied for the count was taken from the KoreanCIA chief's Testiomny:Revolution and Idol by Hyung Wook Kim. It was chosen because it was assumed that Kim's purpose in the novel was to tell a true story, which would not distort the natural use of language for literary effect. The measures taken in the analysis wre those of 'lookback', 'persistence', ambiguity'. The first of these, 'lookback', is a measure of the size of gap between the previous occurrence of a referent and its current occurence in the clause. The meausure of persistence, which is a measure of the speaker's topocal intent, reflects the topic's importance in the discourse. The third measure is a measure of ambiguity. This is necessary for assessing the disruptive effects that other topics within five previous clauses may have on topic identification. The more other topics are present within five previous clauses, the more difficult is the task of correct identification of a topic. The results of the present study show that the humanness of entities is the most powerful factior in topic continutiy in narrative discourse. The semantic roles of human arguments in narrative discourse tend to be agents or experiences. Since agents and experiences have high topicality in discourse, human entities clearly become clausal or discoursal topics. The results also show that the grammatical devices signal varying degrees of topic continuity discontinuity in continuous discourse. The more continuous a topic argument is, the less it is coded. For example, personal pronouns have the most continutiy and indefinite referentials have the least continutiy. The study strongly shows that topic continuity discontinutiy is controlled not only by grammatical devices available in the language but by socio-cultural factors and writer's intentions.