• 제목/요약/키워드: Lexical Knowledge

검색결과 57건 처리시간 0.02초

Applying Lexical Semantics to Automatic Extraction of Temporal Expressions in Uyghur

  • Murat, Alim;Yusup, Azharjan;Iskandar, Zulkar;Yusup, Azragul;Abaydulla, Yusup
    • Journal of Information Processing Systems
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    • 제14권4호
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    • pp.824-836
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    • 2018
  • The automatic extraction of temporal information from written texts is a key component of question answering and summarization systems and its efficacy in those systems is very decisive if a temporal expression (TE) is successfully extracted. In this paper, three different approaches for TE extraction in Uyghur are developed and analyzed. A novel approach which uses lexical semantics as an additional information is also presented to extend classical approaches which are mainly based on morphology and syntax. We used a manually annotated news dataset labeled with TIMEX3 tags and generated three models with different feature combinations. The experimental results show that the best run achieved 0.87 for Precision, 0.89 for Recall, and 0.88 for F1-Measure in Uyghur TE extraction. From the analysis of the results, we concluded that the application of semantic knowledge resolves ambiguity problem at shallower language analysis and significantly aids the development of more efficient Uyghur TE extraction system.

의미적 유사성과 그래프 컨볼루션 네트워크 기법을 활용한 엔티티 매칭 방법 (Entity Matching Method Using Semantic Similarity and Graph Convolutional Network Techniques)

  • 단홍조우;이용주
    • 한국전자통신학회논문지
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    • 제17권5호
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    • pp.801-808
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    • 2022
  • 대규모 링크드 데이터에 어떻게 지식을 임베딩하고, 엔티티 매칭을 위해 어떻게 신경망 모델을 적용할 것인가에 대한 연구는 상대적으로 많이 부족한 상황이다. 이에 대한 가장 근본적인 문제는 서로 다른 레이블이 어휘 이질성을 초래한다는 것이다. 본 논문에서는 이러한 어휘 이질성 문제를 해결하기 위해 재정렬 구조를 결합한 확장된 GCN(Graph Convolutional Network) 모델을 제안한다. 제안된 모델은 기존 임베디드 기반 MTransE 및 BootEA 모델과 비교하여 각각 53% 및 40% 성능이 향상되었으며, GCN 기반 RDGCN 모델과 비교하여 성능이 5.1% 향상되었다.

Comparing Perceptions of Evaluative Criteria in EFL Writing Between Learner and Instructor Group

  • Shin, You-Sun
    • 영어어문교육
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    • 제17권1호
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    • pp.191-208
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    • 2011
  • The quantitative study investigated perceptions of evaluative criteria in L2 writing between two groups - learners (N=212) and instructors (N=52) in Korea. Specifically, the purpose of the study is (1) to examine learners' and instructors' perceptions on evaluative criteria in L2 writing and to provide empirical evidence concerning how they respond to a list of them and (2) to ultimately devise appropriate rating criteria applicable to an EFL context like Korea. Analyses of evaluative criteria were conducted using factor analysis and yielded the following results: learner and instructor groups perceived the evaluative criteria differently and weighted them in a different way. For the learner group, the combined elements of grammar and language in use were identified as Factor 1 and mechanics as Factor 2. The results may infer that learners' response patterns are primarily linked to their instructors' writing practice in class, which may largely focus on grammatical knowledge based on lexical use and mechanical accuracy. Similarly, the instructor group acknowledged grammatical knowledge as Factor 1 and lexical use as Factor 2. The first two factors found in both learner and instructor groups indicate that in an EFL context like Korea, the form-then-content way of teaching and learning is still being considered more effective in L2 writing than any other method. Taking into consideration these perceptive similarities and differences between learners and instructors, the categories of evaluative criteria in writing include content and organization, grammar, mechanics, language in use, and flow of the essay, respectively.

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The Acquisition of the English Locative Alternation by Korean EFL Learners: What Makes L2 Learning Difficult?

  • Kim, Bo-Ram
    • 영어어문교육
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    • 제12권4호
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    • pp.31-68
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    • 2006
  • The present research investigates the acquisition of the English locative alternation by Korean EFL learners, which poses a learnability paradox, taking Pinker's framework of learnability theory as its basis. It addresses two questions (1) how lexical knowledge is represented initially and at different levels of interlanguage development and (2) what kinds of difficulty Korean learners find in the acquisition of English locative verbs and their constructions. Three groups of learners at different proficiency levels with a control group of English native speakers are examined by two instruments: elicited production task and grammaticality judgment task. According to different levels of proficiency, the learners exhibit gradual sensitivity to a change-of-state meaning and obtain complete perception of the meanings of locative verbs (manner-of-motion and change-of-state) and their constructions. Overgeneralization errors are observed in their performance. The errors are due to misinterpretations of particular lexical items in conjunction with the universal linking rules. More fundamental cause of difficulty is accounted for by partial use of learning mechanisms, caused by insufficient L2 input.

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개념지식의 유형에 따른 표상차이: 범주와 각본의 위계성과 전형성 비교1) (Knowledge Representation Characteristics of Categories and Scripts: An Investigation on Hierarchy and Typicality Effects)

  • 이재호;이정모
    • 인지과학
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    • 제11권3_4호
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    • pp.73-81
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    • 2000
  • 이 연구는 지식유형에 따른 표상 차이를 확인하기 위해서 범주지식과 각본지식의 위계성과 전형성에 대한 점화효과를 측정하였다. 실험 1에서는 상위개념을 점화단어로 제시하고 하위개념을 목표단어로 제시한 다움 목표단어의 어휘판단시간을 측정하였다. 그 결과, 범주지식은 전형단어가 비전형단어보다 반응시간이 빨랐지만, 각본지식은 두 조건간의 차이가 없었다. 실험 2에서는 하위개념을 점화단어로 제시하고 상위개념을 목표단어로 제시한 다음 목표단어의 어위판단시간을 측정하였다. 범주지식이 각본지식보다 반응시간이 빨랐으며, 두 지식 모두 전형성 효과는 관찰되지 않았다. 이러한 결과는 범주지식은 전형성에 따른 위계구조를 구성하지만 각본지식은 범주지식에 비해서 위계성과 전형성이 약회된 구조로 표상될 가능성을 시사하는 것이다.

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Company Name Discrimination in Tweets using Topic Signatures Extracted from News Corpus

  • Hong, Beomseok;Kim, Yanggon;Lee, Sang Ho
    • Journal of Computing Science and Engineering
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    • 제10권4호
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    • pp.128-136
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    • 2016
  • It is impossible for any human being to analyze the more than 500 million tweets that are generated per day. Lexical ambiguities on Twitter make it difficult to retrieve the desired data and relevant topics. Most of the solutions for the word sense disambiguation problem rely on knowledge base systems. Unfortunately, it is expensive and time-consuming to manually create a knowledge base system, resulting in a knowledge acquisition bottleneck. To solve the knowledge-acquisition bottleneck, a topic signature is used to disambiguate words. In this paper, we evaluate the effectiveness of various features of newspapers on the topic signature extraction for word sense discrimination in tweets. Based on our results, topic signatures obtained from a snippet feature exhibit higher accuracy in discriminating company names than those from the article body. We conclude that topic signatures extracted from news articles improve the accuracy of word sense discrimination in the automated analysis of tweets.

Features of an Error Correction Memory to Enhance Technical Texts Authoring in LELIE

  • SAINT-DIZIER, Patrick
    • International Journal of Knowledge Content Development & Technology
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    • 제5권2호
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    • pp.75-101
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    • 2015
  • In this paper, we investigate the notion of error correction memory applied to technical texts. The main purpose is to introduce flexibility and context sensitivity in the detection and the correction of errors related to Constrained Natural Language (CNL) principles. This is realized by enhancing error detection paired with relatively generic correction patterns and contextual correction recommendations. Patterns are induced from previous corrections made by technical writers for a given type of text. The impact of such an error correction memory is also investigated from the point of view of the technical writer's cognitive activity. The notion of error correction memory is developed within the framework of the LELIE project an experiment is carried out on the case of fuzzy lexical items and negation, which are both major problems in technical writing. Language processing and knowledge representation aspects are developed together with evaluation directions.

The Effects of Vocabulary Exercises on EFL Vocabulary Learning and Retention

  • Son, Jung-Mi
    • 영어어문교육
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    • 제13권4호
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    • pp.167-192
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    • 2007
  • This study investigates the effects of written vocabulary exercises on lexical knowledge. Korean university students learning English as a foreign language were randomly assigned to one of four conditions-Condition 1 (having students match word form with word meaning), Condition 2 (having students fill in the blank provided with a list of words), Condition 3 (having students write sentences with the target words), Condition 4 (having students do three practices with the same vocabulary exercise as the condition 1). Each type of exercises in Condition 1, 2, and 3 was designed to classify a different level of mental processing except Condition 4 with multiple encounters of the target words. Learners' vocabulary knowledge of this study was obtained using a format adopted from the Vocabulary Knowledge Scale (VKS) immediately and two weeks later. The findings indicated that: (1) Condition 4 having students do three matching vocabulary exercises was as effective as the condition 3 (one writing exercise) on the immediate learning of word; (2) although there was no significant difference of the effect of vocabulary exercises between Condition 3 and 4, Condition 4 asking students to do three matching vocabulary exercises was the most effective way of vocabulary retention after two weeks.

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전자 CORPUS를 이용한 정보통신 분야 영 어 학습(ESP)

  • 한인석
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2001년도 학술대회 논문집
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    • pp.185-197
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    • 2001
  • It is quite burden-some for non-native speakers of English to write and read more and more IT-related reports due to the rapid development of IT technology. Thus, this study aims at designing ESP materials by using huge volume of electronic ITU texts, corpora and concordancer SW. Various tests are designed to study the usage of articles, hyponym, agreement, synonym, and others. The results of this study will bring general and practical benefits to technical English writing and improving IT area students' lexical knowledge of actual English usage. The ESP materials produced by this study will also make an extensive contribution to other industries and academic areas in Korean society.

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On the Syntax and Semantics of the Bound Noun Constructions: With a Computational Implementation

  • Kim, Jong-Bok;Yang, Jae-Hyung
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2007년도 정기학술대회
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    • pp.223-233
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    • 2007
  • The so-called Korean BNC (bound noun construction) displays complex syntactic, semantic, and constructional properties. This paper, couched upon a constraint-based approach, two different syntactic structures for the construction with articulated lexical properties for the BNs and relevant predicates. The paper reports an implementation of this analysis in the LKB (Linguistic Knowledge Building) system and shows us that this direction is robust enough to pare relevant sentences.

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