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Analysis of an Iterative Algorithm for Term-Based Ontology Alignment
[chapter]
2005
Lecture Notes in Computer Science
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The results show that the proposed algorithm not only finds the relation between the target concepts and the source concepts, but the algorithm also shows some flaws in the ontologies. ...
The algorithm uses the similarity of shared terms in order to find the most appropriate target concept for a particular source concept. ...
The EDR Electronic Dictionary consists of lexical knowledge of Japanese and English divided into several sub-dictionaries (e.g., the word dictionary, the bilingual dictionary, the concept dictionary, and ...
doi:10.1007/11562214_31
fatcat:7kuko5bbgvc7jmrlopptfvryey
CYC, WordNet, and EDR: critiques and responses
1995
Communications of the ACM
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We found that having about a tenth as many distinct named semantic relations as the number of other (non-relation) concepts makes the statement of definitions and other information quite compact. ...
Even after a decade of building CYC, it seems clear to me that the definitions of terms-and even the methodology used to codify and represent knowledge-are incomplete. ...
Because the EDR dictionaries treat two languages, it is assumed that a concept dictionary can be constructed independently of the dictionaries of Japanese and English word forms. ...
doi:10.1145/219717.219757
fatcat:573fnltayfadvepjxutipicq3m
Extraction of Hierarchies Based on Inclusion of Co-occurring Words with Frequency Information
2005
International Joint Conference on Artificial Intelligence
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We compared our hierarchies with those obtained using the CSM for binary images, and evaluated them by measuring their degree of agreement with the EDR electronic dictionary. ...
We applied the complementary similarity measure (CSM) to determine a hierarchical structure of word meanings. The CSM is a similarity measure developed for recognizing degraded machine-printed text. ...
Agreement with the concept hierarchies in the EDR electronic dictionary Next, we compared each of the hierarchies obtained by the CSMb and the CSMg with the concept hierarchies for adjectives in the EDR ...
dblp:conf/ijcai/YamamotoKI05
fatcat:mzt55czqmbdtnba5bu72rmzzjq
Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records
2018
AMIA Annual Symposium Proceedings
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To enable this comparison, we encoded patients CVD information from the free-text data of EDRs into a structured format using natural language processing (NLP). ...
In this pilot study, we aimed to measure the reliability of patient-reported CVD conditions in EDRs. ...
This study was approved by the Institute Review Board (IRB: 1604548307) and funded by Dr. Thyvalikakath's start-up funds from the Indiana University School of Dentistry. ...
pmid:30815189
pmcid:PMC6371326
fatcat:wkx53pwj3zdb5o4w4ovvna67dy
Development of the concept dictionary — Implementation of lexical knowledge
[chapter]
1992
Lecture Notes in Computer Science
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The Concept Dictionary is based on several linguistic semantic representation theories and consists of : a) concept descriptions, and b) the concept taxonomy. ...
The meth(xJology of development of the Concept Dictionary being compiled by EDR, which is to be a neutral dictionary for semantic processing of natural languages available for various application systems ...
Introduction A dictionary in which dependencies among 400,000 word senses of the English and Japanese languages are described in detail (Concept Dictionary) is being developed by EDR. ...
doi:10.1007/3-540-55801-2_43
fatcat:r6rkpz5xdnbwjip5hy7iloc55e
Thematic Annotation: extracting concepts out of documents
[article]
2004
arXiv
pre-print
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In fact, the proposed annotation algorithm uses a large scale semantic database -- the EDR Electronic Dictionary -- that provides a concept hierarchy based on hyponym and hypernym relations. ...
This concept hierarchy is used to generate a synthetic representation of the document by aggregating the words present in topically homogeneous document segments into a set of concepts best preserving ...
Lonneke van der Plas, Florian Seydoux and Jean-Cedric Chappelier for helping me on different parts of the project. ...
arXiv:cs/0412117v1
fatcat:txuf24o7offarlelxyjbs3x334
Towards Domain Independent Why Text Segment Classification Based on Bag of Function Words
[chapter]
2012
Lecture Notes in Computer Science
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Furthermore, since function words appear in almost all text segments regardless of the domain of the topic, it also enables construction of a domain independent classifier. ...
It is a process of detecting text segments describing "reasons-causes" and is a subtask of Why-QA mainly related to an answer extraction part. ...
We would like to show our gratitude to NII and Yahoo! for providing QA data. ...
doi:10.1007/978-3-642-35101-3_40
fatcat:7qoycec3ebb23o2jshdbklawoq
Automatically Acquiring Causal Expression Patterns from Relation-annotated Corpora to Improve Question Answering for why-Questions
2008
ACM Transactions on Asian Language Information Processing
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an answer candidate ranker that maximizes the QA performance with regards to the corpus of why-questions and answers. ...
Experimental results also verified the usefulness of the automatically acquired causal expression patterns. ...
ACKNOWLEDGMENTS We thank Jun Suzuki, Kohji Dohsaka, Masaaki Nagata, and all members of the Knowledge Processing Research Group for helpful comments and discussions. ...
doi:10.1145/1362782.1362785
fatcat:kfhgxxkikffqdoujxzgeicvmky
Towards Programming in Everyday Language: A Case for Email Management
[chapter]
2004
Lecture Notes in Computer Science
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It consists of the text understanding process using a systemic functional linguistic resource called the Semiotic Base, and the mapping process from the structure of the input text to the structure of ...
In order to extend the application domain of natural language interfaces to more realistic tasks without the decrease of user's performance, it is desirable for users to be able to specify their requests ...
The current version of the Semiotic Base has approximately 1600 features and 1100 realization statements. ...
doi:10.1007/978-3-540-24630-5_46
fatcat:kkyijw62ybchff4mb2phtrfn34
Experiments for NTCIR-11 RITE-VAL Task at Shibaura Institute of Technology
2014
NTCIR Conference on Evaluation of Information Access Technologies
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This paper provides a description of our algorithm, the evaluation results and discussion on the results. ...
In our system, the meaning of a text is represented as a set of dependency triples consisting of two words and their relation. ...
Then, referring to the EDR Japanese word dictionary, Japanese WordNet and Wikipedia redirect, we attach concept names (concept IDs, synsets and redirected entry names, respectively) to the content word ...
dblp:conf/ntcir/SugimotoMM14
fatcat:oiccfqdwsnhspnphbd7u7z2i6a
Cataloging design abstractions
2006
Proceedings of the 2006 international workshop on Role of abstraction in software engineering - ROA '06
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Related efforts such as the design of textual and electronic dictionaries, markup languages for software artifacts and ontologies of computer science topics are surveyed to inform the effort. ...
Abstractions are the essence of software design, and various enterprises, such as design patterns, architectural styles, programming clichés and idioms, attempt to capture, organize and present them to ...
• The "Dictionary of Algorithms and Data Structures" (www.nist.gov/dads) from the National Institute of Standards and Technology "is a dictionary of algorithms, algorithmic techniques, data structures ...
doi:10.1145/1137620.1137624
fatcat:4invvpzqsbhfvcqm4pyqmvefp4
Meaning Sort - Three examples: dictionary construction, tagged corpus construction, and information presentation system
[article]
2001
arXiv
pre-print
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We also describe three major applications where a meaning sort is useful and show the effectiveness of a meaning sort. ...
In this paper, we introduce a method of arranging words semantically by using several types of ' is-a' thesauri and a multi-dimensional thesaurus. ...
When we do a meaning sort using the EDR dictionary, we only have to consider the connections of the hierarchy of meanings "concept: agent: autonomous Table 3 . ...
arXiv:cs/0103012v1
fatcat:bzigb6sezfeztlsoddp75skbee
Corpus-based Question Answering for why-Questions
2008
International Joint Conference on Natural Language Processing
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From the collected expressions, features are created to train an answer candidate ranker that maximizes the QA performance with regards to the corpus of why-questions and answers. ...
However, such hand-crafted patterns are likely to have low coverage of causal expressions, and it is also difficult to assign suitable weights to the patterns by hand. ...
Acknowledgments We thank Jun Suzuki, Kohji Dohsaka, Masaaki Nagata, and all members of the Knowledge Processing ...
dblp:conf/ijcnlp/HigashinakaI08
fatcat:hi6ahslp3bexnfyodlnqnr6nuu
Discourse Structure Analysis System DIA Based on Centering Theory and Object Knowledge
センタリング理論と対象知識に基づく談話構造解析システムDIA
2011
Journal of Natural Language Processing
センタリング理論と対象知識に基づく談話構造解析システムDIA
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in EDR electronic dictionary, and are used for the decision of the functional relation between sentences. ...
We propose the method of the discourse structure analysis based on the centering theory and the domain knowledge. ...
"Centering: A Framework for Modeling the Local Coherence of Discourse." ...
doi:10.5715/jnlp.18.31
fatcat:fxdnb6rhpngklkgey24ieddbmm
Toward an MT System without Pre-Editing --- Effects of New Methods in ALT-J/E ---
[article]
1995
arXiv
pre-print
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In comparison with conventional compositional methods, the Multi-Level Translation Method emphasizes the importance of the meaning contained in expression structures as a whole. ...
It is shown to be capable of translating typical written Japanese based on the meaning of the text in its context, with comparative ease. ...
Acknowledgment The authors wish to thank Masahiro Miyazaki, Kentaro Ogura and other members of the research group on machine translation for their valuable contribution to discussions; and especial thanks ...
arXiv:cmp-lg/9510008v2
fatcat:zh7jp6qi7be7zo75i7yns6so4q
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