Ru-Yng Chang

Ru-Yng Chang
Industrial Technology Research Institute | ITRI · Computational Intelligence Technology Center

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22
Publications
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140
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Publications

Publications (22)
Chapter
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One of the biggest challenges in digital humanities is to extract, formulate, and represent knowledge from textual database in a way that is relevent and accessible for other scientific disciplines. This challenge is critical for historical texts as these are often one of the few tangible sources for us to extract our knowledge from our past. Howev...
Article
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This study presents a novel approach to error diagnosis of Chinese sentences for Chinese as second language (CSL) learners. A penalized probabilistic First-Order Inductive Learning (pFOIL) algorithm is presented for error diagnosis of Chinese sentences. The pFOIL algorithm integrates inductive logic programming (ILP), First-Order Inductive Learning...
Conference Paper
This study presents a penalized probabilistic First-Order Inductive Learning (pFOIL) approach to error diagnosis for Chinese as a Second Language (CSL) learners. The pFOIL approach is first proposed to characterize a sentence using multi-type background knowledge which contains the morphological, syntactic and semantic relations among the words in...
Article
The paper describes the OntoNotes, a multilingual (English, Chinese and Arabic) corpus with large-scale semantic annotations, including predicate-argument structure, word senses, ontology linking, and coreference. The underlying semantic model of OntoNotes involves word senses that are grouped into so-called sense pools, i.e., sets of near-synonymo...
Conference Paper
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本文介紹了一種建構領域知識的方法。以廣群芳譜為例,我們利用詞彙網路與建議上層知識本體作為知識架構,以進一步分析其知識內容。我們認為此法可作為跨時代之領域知識本體建構之參考。This article introduced a wordnet and SUMO ontology based approach to the construction of domain ontology. We constructed a domain specific ontology based on the classical anthology of GuangQunFangPu. This approach provided an example of how to study and compare o...
Conference Paper
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In this paper, we propose a lexicon-driven and ontologymerging methodology of constructing diachronic domain knowledge via Sinica BOW, a bilingual ontological lexical resource based on WordNet and SUMO ontology. The main domain knowledge that we model our specialized ontology on is GuangQunFangPu, a Chinese classic literature of botany. Our studies...
Conference Paper
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This article uses the construction of the GuangQunFangPu digital archives as an example to show how upper ontology and wordnet can be applied in the construction of domain ontology. GuangQunFangPu is a historical Chinese compendium of all references of botanic terms in classical literature. 本文介紹了一種建構領域知識的方法。以廣群芳譜為例,我們利用詞彙網路與建議上層知識本體作為知識架構,以進一步分析其知識...
Conference Paper
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This paper proposes to deal with the building of a specialized ontology as the discovery of a new knowledge structure, based on the premise that ontology is a structured knowledge. Our study integrates the following approaches: the mental lexicon approach, the Shakespearean-garden approach, and the ontology-merging as ontology-discovery approach.
Article
Full-text available
This paper proposes to deal with the construction of a specialized ontology as the discovery of a new knowledge structure, based on the premise that ontology is a structured knowledge. Our study integrates the following approaches: the mental lexicon approach, the Shakespearean-garden approach, and the ontology-merging as ontology-discovery approac...
Conference Paper
Full-text available
This paper introduced the Academia Sinica Bilingual Ontological Wordnet (Sinica BOW), a lexical knowledgebase combining wordnet, ontology, and domain information. The design criteria, the original resources, as well as how these resources were combined and integrated were discussed. We also introduced the design and application of the interface.
Article
Full-text available
Assignment of grammatical categories is the fundamental step in natural language processing. And ambiguity resolution is one of the most challenging NLP tasks that is currently still beyond the power of machines. When two questions are combined together, the problem of resolution of categorical ambiguity is what a computational linguistic system ca...
Article
Full-text available
We propose the Shakespearean-garden approach towards domain ontology construction in this paper. In sum, we suggest that domain lexica can be extracted and obtained for non-standard knowledge backgrounds. Once the comprehensive lexica are collected, a lexical interface between wordnet and our Sinica BOW can be applied. It will allow each lexical it...
Article
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The Academia Sinica Bilingual Ontological Wordnet (Sinica BOW) integrates three resources: WordNet, English-Chinese Translation Equivalents Database (ECTED), and SUMO (Suggested Upper Merged Ontology). The three resources were originally linked in two pairs: WordNet 1.6 was manually mapped to SUMO (Niles & Pease 2003) and also to ECTED (the English...
Article
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OLACM (Open Language Archives Metadata, Simons and Bird 2003) has been proposed as part of the OLAC solution to the accessibility and sharability issues concerning la nguage archives. A real test for the OLACM is whether it is adequate to describe the rich range of changes and variations offered by la nguages of the world. Such a challenge can exis...
Conference Paper
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The Language Archives Project is part of Taiwan's National Digital Archives Program (NDAP). The project digitizes and archives a wide range of linguistic data, from heritage texts to endangered Formosan languages. The goal is two­fold: both to preserve unique cultural heritages and to provide a comprehensive linguistic infrastructure to support con...
Article
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OLACMS (stands for Open Language Archives Community Metadata Set) is a standard for describe language resources. This paper provides suggestion to OLACMS 0.4 version by comparing it with other standards and applying it to Chinese and Formosan languages.
Conference Paper
Full-text available
Assignment of grammatical categories is the fundamental step in natural language processing. And ambiguity resolution is one of the most challenging NLP tasks that is currently still beyond the power of machines. When two questions are combined together, the problem of resolution of categorical ambiguity is what a computational linguistic system ca...
Article
Full-text available
Propositional terms in a research abstract (RA) generally convey the most important information for readers to quickly glean the contribution of a research article. This paper considers propositional term extraction from RAs as a sequence labeling task using the IOB (Inside, Outside, Beginning) encoding scheme. In this study, conditional random fie...

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