Notes:
An associative concept dictionary (ACD) is a type of database or data structure that is used to store and organize information in a way that allows for easy retrieval and manipulation. ACDs are typically used to store and manage information about concepts and their relationships, and they are often used in natural language processing and artificial intelligence applications to help computers understand and interpret human language. ACDs typically consist of a set of entries, each of which represents a concept or idea, and a set of relationships or associations between those concepts. These relationships can be used to define the meaning of a concept in relation to other concepts, or to describe how different concepts are related to each other. ACDs can be used to represent knowledge in a variety of domains, including language, science, mathematics, and more.
A simile understanding system is a type of artificial intelligence or natural language processing system that is specifically designed to understand and interpret similes, which are figures of speech that use “like” or “as” to compare two things. Simile understanding systems typically use algorithms and techniques from machine learning and linguistics to analyze and interpret the meaning of similes in text or speech.
Simile understanding systems are often used in applications such as language translation, text analysis, and sentiment analysis, where it is important to accurately interpret and understand the meaning of figurative language. They may also be used in more general natural language processing tasks, such as dialogue systems or chatbots, to help them understand and respond appropriately to similes and other types of figurative language used by users.
An associative concept dictionary (ACD) can be used in a simile understanding system to help the system understand and interpret similes and other figurative language. An ACD is a type of database or data structure that is used to store and organize information about concepts and their relationships, and it can be used to represent knowledge in a variety of domains.
In the context of a simile understanding system, an ACD might be used to store information about different concepts and their meanings, as well as the relationships between those concepts. For example, the ACD might contain entries for concepts such as “happy,” “sad,” “big,” and “small,” along with relationships that describe how these concepts are related to each other.
When the simile understanding system encounters a simile in text or speech, it can use the ACD to help interpret the meaning of the simile. For example, if the system encounters the simile “happy as a clam,” it can use the ACD to understand that “happy” refers to a positive emotional state, and that “clam” refers to a type of mollusk that is typically found in the ocean. By understanding the meanings of these concepts and their relationships, the system can interpret the simile as meaning that the person or thing being described is very happy.
Resources:
References:
- Evaluating a Method of Extracting Important Sentences Using Distance between Entries in an Associative Concept Dictionary (2003)
See also:
The role of impressions on users’ tactile interaction with product materials: An analysis of associative concept networks
Y Nagai, GV Georgiev – Materials & Design, 2011 – Elsevier
… 26]. 4.4. Tool for impression analysis. For an associative concept network tool, the Associative Concept Dictionary (ACD) by Ishizaki [27] can be employed to identify stimulus words from the obtained verbalized protocols. The …
Concept blending and dissimilarity: factors for creative concept generation process
Y Nagai, T Taura, F Mukai – Design Studies, 2009 – Elsevier
… First, for the 1055 words listed in the associative concept dictionary (Ishizaki, 2007), the number of associations for each word was investigated, and the words whose associations were between 168 and 299 (mean ± SD) were selected in order to control the associative …
Using graph components derived from an associative concept dictionary to predict fMRI neural activation patterns that represent the meaning of nouns
H Akama, M Miyake, J Jung, B Murphy – PloS one, 2015 – journals.plos.org
In this study, we introduce an original distance definition for graphs, called the Markov-inverse-F measure (MiF). This measure enables the integration of classical graph theory indices with new knowledge pertaining to structural feature extraction from semantic …
Random graph model simulations of semantic networks for associative Concept dictionaries
H Akama, J Jung, T Joyce, M Miyake – Proceedings of the 3rd …, 2008 – dl.acm.org
Word association data in dictionary form can be simulated through the combination of three components: a bipartite graph with an imbalance in set sizes; a scale-free graph of the Barabási-Albert model; and a normal distribution connecting the two graphs. Such a model …
A methodology to analyse in-depth impressions of design on the basis of concept networks
Y Nagai, GV Georgiev, F Zhou – Journal of Design …, 2011 – inderscienceonline.com
… In their experiments, the protocol data were analysed by automatic methods using the associative concept dictionary (Ishizaki, 2007) … To detect the stimulus words, we used the associative concept dictionary for the impression words (Ishizaki, 2007) …
An Associative Concept Dictionary for Verbs and its Application to Elliptical Word Estimation.
T Teraoka, J Okamoto, S Ishizaki – LREC, 2010 – researchgate.net
Natural language processing technology has developed remarkably, but it is still difficult for computers to understand contextual meanings as humans do. The purpose of our work has been to construct an associative concept dictionary for Japanese verbs and make computers …
Virtual modeling of concept generation process for understanding and enhancing the nature of design creativity
E Yamamoto, M Goka, M Yusof, N Fasiha… – DS 58-2 …, 2009 – designsociety.org
… In order to clarify these two points, they used two concept dictionaries that can be regarded as semantic networks?the Associative Concepts Dictionary [31] and the EDR Electronic Dictionary [32]. These two dictionaries were used by Harakawa et al …
Users’ tactile interactions with new product materials: An analysis of depth impressions based on associative concept networks
Y Nagai, GV Georgiev, T Taura – ASME 2010 …, 2010 – … .asmedigitalcollection.asme.org
… 4.4. Tool for impression analysis We apply the Associative Concept Dictionary (ACD) by Ishizaki [20] as an associative concept database for identifying stimulus words from the obtained verbalized protocols … [20] Ishizaki, S., 2007, “Associative concept dictionary (ver …
Craftsmen versus designers: the difference of in-depth cognitive levels at the early stage of idea generation
DW Junaidy, Y Nagai, M Ihsan – ICoRD’13, 2013 – Springer
… 3 Methodology. In this study, we used a concept network method based on the associative concept dictionary to extract verbalized thoughts. The framework of this research was comprised of the following steps (Fig. 2): Open image in new window. Fig. 2 …
Capturing the structures in association knowledge: Application of network analyses to large-scale databases of japanese word associations
T Joyce, M Miyake – Large-Scale Knowledge Resources. Construction and …, 2008 – Springer
… Specifically, two separate association networks are constructed from two different large-scale databases of Japanese word associations: the Associative Concept Dictionary (ACD) by Okamoto and Ishizaki [5] and the Japanese Word Association Database (JWAD) by Joyce [6] [7 …
The in-depth cognitive levels of imagination of artisans and designers
DW Junaidy, Y Nagai – Journal of Design Research 2, 2013 – inderscienceonline.com
… A concept network method based on the associative concept dictionary was employed to extract the verbalised thoughts of four artisans and four designers. We then identified semantic relationships based on a factor analysis …
Homographic Ideogram Understanding Using Contextual Dynamic Network.
J Okamoto, S Ishizaki – LREC, 2010 – researchgate.net
… In this research, Contextual Dynamic Network Model is developed using the Associative Concept Dictionary which includes semantic relations among concepts/words and the relations can be represented with quantitative distances among them …
Concept Blending and Dissimilarity: Factors for Creative Design Process: A Comparison between the Linguistic Interpretation Process and Design Process
Y Nagai, T Taura, F Mukai – 2009 – shura.shu.ac.uk
… First, for the 1055 words listed in the associative concept dictionary (Ishizaki, 2007), the number of associations of each word was investigated, and the words whose associations were between 168 and 299 (±?) were selected in order to control the associative effectiveness …
Time factor of core emotions derived from design materials: Towards a deeper understanding of product experience
GV Georgiev, Y Nagai – The 4th World Conference on Design …, 2011 – researchgate.net
… (2) associative word pairs (associative word and verbalized word) were detected with assistance of a database tool (associative concept dictionary); (3) concept networks were then created and core emotions from the constructed concept networks were identified from each …
An Associative Concept Dictionary for Natural Language Processing: Text Summarization and Word Sense Disambiguation
J Okamoto, S Ishizaki – Journal of Cognitive Science, 2011 – papersearch.net
We constructed an Associative Concept Dictionary based on the results from large-scale association experiments with participants in order to develop simulation models and systems of understanding natural language. In this paper, we first briefly explain the …
Comparing lexical relationships observed within Japanese collocation data and Japanese word association norms
T Joyce, I Srdanovi? – Proceedings of the Workshop on Cognitive …, 2008 – dl.acm.org
… underscores the deficient. More recently, Okamoto and Ishi- zaki (2001) compiled an Associative Concept Dictionary (ACD) consisting of 33,018 word association responses provided by 10 respon- dents for 1,656 nouns. However, it …
Study of Word Sense Disambiguation System that uses Contextual Features-Approach of Combining Associative Concept Dictionary and Corpus-.
K Tsutsumida, J Okamoto, S Ishizaki, M Nakatsuji… – LREC, 2010 – Citeseer
Abstract We propose a Word Sense Disambiguation (WSD) method that accurately classifies ambiguous words to concepts in the Associative Concept Dictionary (ACD) even when the test corpus and the training corpus for WSD are acquired from different domains. Many WSD …
Constructive simulation of creative concept generation process in design: a research method for difficult-to-observe design-thinking processes
T Taura, E Yamamoto, MYN Fasiha… – Journal of …, 2012 – Taylor & Francis
Page 1. Journal of Engineering Design Vol. 23, No. 4, April 2012, 297–321 Constructive simulation of creative concept generation process in design: a research method for difficult-to-observe design-thinking processes Toshiharu …
Associative Language Learning Support Applying Graph Clustering? For Vocabulary Learning and Improving Associative Ability
J Jung, N Makoshi, H Akama – Eighth IEEE International Conference …, 2008 – computer.org
… [10] J. Jung, M. Miyake, N. Makoshi, & H. Akama, “Development of a Web-based Composition Support System -Using Graph Clustering Methodologies Applied to an Associative Concepts Dictionary”, ICALT, 2006, pp.431~435. 232
Network analysis of Korean word associations
J Jung, L Na, H Akama – Proceedings of the naacl hlt 2010 first workshop …, 2010 – dl.acm.org
… Martin’s. J. Okamoto and S. Ishizaki. 2001. “Construction of associative concept dictionary with distance information, and comparison with electronic concept dictionary (translated from ?????????? ??????????)”, ??????, vol. 8, pp. 37-54 …
The imaginative approach: Characteristics of craft artisans’ and design trainers’ in-depth cognitive levels during a design training program
DW Junaidy, Y NAGAI – 2013 – researchgate.net
… We employed a concept network method based on the associative concept dictionary to extract the verbalized thoughts of four craft artisans and four design trainers … 2009). Figure 1. Capturing the in-depth cognitive level using an Associative Concept Dictionary …
Analysis of the formation of user impressions upon tactile interaction with product design materials
GV Georgiev, Y Nagai, T Taura – … of 9th Tools and Methods of …, 2012 – researchgate.net
… Cork 35% 15% 15% 35% Glass 26% 17% 26% 30% Rubber 27% 21% 25% 27% Steel net 51% 21% 16% 12% Plastic 6% 34% 19% 41% Wood 25% 36% 23% 16% Page 8. 522 Georgi V. Georgiev, Yukari Nagai, Toshiharu Taura tool—associative concept dictionary …
Fabrications of natural and artificial: A case study of enhancing users’ impressions
I Gwilt, GV Georgiev, Y Nagai – DS 66-2: Proceedings of the 1st …, 2010 – designsociety.org
… Thus, highly weighted associations are in-depth impressions. These associations could be identified as association concepts by the means of a concept dictionary, such as the associative concept dictionary (ACD) by Ishizaki (2007) … 3 based on associative concept dictionary …
Analysis of User Feelings during Interface Operation: Implictions for Creative Design
GV Georgiev, Y Nagai, T Taura, S Noda… – DS 73-2 Proceedings of …, 2012 – designsociety.org
… That is to say, the examined words are typically associating the free verbalizations (eg an examined word ?dolphin’ associating verbalized word ?smart’). This is done by reference to an existing associative concept dictionary, built on experimental basis …
Detecting metonymic expressions with associative information from words
T Teraoka, J Okamoto, S Ishizaki – Procedia-Social and Behavioral …, 2011 – Elsevier
… By using associative concept dictionaries and Japanese WordNet, we constructed an automatic system that can detect metonymic expressions … Keywords: Metonymy, Association Experiment, Associative Concept Dictionary, Verb 1. Introduction …
Important Sentence Extraction Using Contextual Semantic Network
J Okamoto, S Ishizaki – Procedia-Social and Behavioral Sciences, 2011 – Elsevier
… in input documents. The Contextual Semantic Network is constructed by using the Associative Concept Dictionary which includes semantic relations and distance information among the words in the documents. The concept …
Working towards building a sensitivity index for a vehicle control device: A methodology using concept network analysis
GV Georgiev, Y Nagai, T Taura… – DS 70: Proceedings of …, 2012 – designsociety.org
… with which they are typically associated. A list of all such common associative pairs is created on the basis of an existing associative concept dictionary, build on experimental basis. • Construction of concept network: The associative …
Concept blending and dissimilarity
Y Nagai, T Taura, F Mukai – Factors for creative concept, 2009 – research.kobe-u.ac.jp
… First, for the 1055 words listed in the associative concept dictionary (Ishizaki, 2007), the number of associations of each word was investigated, and the words whose associations were between 168 and 299 (±?) were selected in order to control the associative effectiveness …
Employing Latent Adjacency for Appropriate Clustering of Semantic Networks’
J Jung, H Akama – New Trends in Psychometrics, 2008 – researchgate.net
… 1 (a)). In this study, we construct two simple undirected semantic networks. 2.1. Its construction The Associative Concept Dictionary (hereafter, ACD) (Okamoto and Ishizaki (2001)) was constructed based on data, collected from an online association ex- periment …
Men Are from Mars, Women Are from Venus: Evaluation and Modelling of Verbal Associations
E Vylomova, A Shcherbakov, Y Philippovich… – … Conference on Analysis …, 2017 – Springer
… Novák, Z.: Volne slovni parove asociace v cestine. Academia (1988)Google Scholar. 19. Okamoto, J., Ishizaki, S.: Associative concept dictionary construction and its comparison with electronic concept dictionaries, pp. 214–220 (2001)Google Scholar. 20 …
Creativity in individual design work
Y Nagai – Experimental Design Research, 2016 – Springer
… bag,” “letter,” “chair,” “scissors,” “pool,” “guitar,” “blanket,” “thermometer,” “flower,” “dog,” “fish,” “bird,” “milk,” “water,” “oil,” “egg,” “star,” and “ice.” The number of associations from each word was subsequently calculated by using the Associative Concepts Dictionary (Okamoto and …
A Text-based Automatic Waka Generation System using Kansei
M YANG, M HAGIWARA – International Journal of Affective …, 2016 – jstage.jst.go.jp
… In consideration of language style of Waka, the synonyms in Katakana (loan- words) will be discarded. As for association, Associative Concept Dictionary [22] is selected to provide various associative nouns for an input noun called as stimulus …
Concept generation for design creativity: A systematized theory and methodology
T Taura, Y Nagai – 2012 – books.google.com
Page 1. Toshiharu Taura Yukari Nagai I Concept Generation for Design Creativity A Systematized Theory and Methodology Page 2. Concept Generation for Design Creativity Page 3. Toshiharu Taura • Yukari Nagai Concept …
Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using NIRS-imaging.
N Tatsumi, J Okamoto, S Ishizaki – LREC, 2010 – lrec.elra.info
In this study, we extracted brain activities related to semantic relations and distances to improve the precision of distance calculation among concepts in the Associated Concept Dictionary (ACD). For the experiments, we used a multi-channel Near-infrared Spectroscopy …
A Contextual Dynamic Network Model for WSD Using Associative Concept Dictionary.
J Okamoto, K Uchiyama, S Ishizaki – LREC, 2008 – pdfs.semanticscholar.org
Many of the Japanese ideographs (Chinese characters) have a few meanings. Such ambiguities should be identified by using their contextual information. For example, we have an ideograph which has two pronunciations,/hitai/and/gaku/, the former means a forehead of …
A method to systematize keywords
GV Georgiev, K Yamada, T Taura, Y Nagai – researchgate.net
… The purpose of this paper is to propose a method to systematize keywords of multiple articles by using the associative concept dictionary … Procedure 2 Finding implicit keywords The associative concept dictionary, which contains the relations between words in terms of …
Constraints in Concept Synthesis: Distance Between and Association of Base Concepts
T Taura, Y Nagai – Concept Generation for Design Creativity, 2013 – Springer
… Next, the number of associative concepts from each entity concept was counted by using the Associative Concept Dictionary [3]. The Associative Concepts Dictionary is an electronic dictionary which was developed from lists of large numbers of words evoked from the selected …
A concept network method based on analysis of impressions formation
F Zhou, Y Nagai, T Taura – iasdr2009.or.kr
… The free description data were automatically computed onto visualization files using methods based on the associative concept dictionary, and 98 depth images were extracted … data were analyzed by automatic methods using the associative concept dictionary [13] …
Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing
I Matveeva, C Biemann, M Choudhury… – Coling 2008: Proceedings …, 2008 – aclweb.org
… A domain-specific summarization method ranking nodes in a graph of concepts is introduced by L. Plaza Morales et al. The topology of associative concept dictionaries is modeled by H. Akama et al., who report interesting scale free properties of such networks …
Metonymy Analysis Using Associative Relations between Words.
T Teraoka – LREC, 2016 – pdfs.semanticscholar.org
… than the baselines. It also exhibited better accuracy (0.74) of interpreting the detected metonymic expressions than the baselines. Keywords: Metonymy, Associative Concept Dictionary, Verb, Noun 1. Introduction Metonymy is …
Methods and Essence of Concept Generation
T Taura, Y Nagai – Concept Generation for Design Creativity, 2013 – Springer
… First, for the 1,055 words listed in the Associative Concept Dictionary [4], the number of associative concepts (ie concepts associated with the word) was investigated, and the words which had between 168 and 299 (mean ± SD) associative concepts were selected in order to …
Understanding the Bases of Design Impressions of Natural or Artificial
GV Georgiev, Y Nagai, T Taura – PROCEEDINGS OF THE ANNUAL …, 2013 – jstage.jst.go.jp
… [5] Ishizaki, S., (2007) Associative Concept Dictionary, Version 2, in Japanese. [6] Batagelj, V., Mrvar, A., (2003) Pajek – analysis and visualization of large networks, in Jünger, M., Mutzel, P., (eds.): Graph Drawing Software, pp. 77-103, Springer, Berlin …
Automatic Detection of Metonymies using Associative Relations between Words
T Teraoka, R Higashinaka… – Proceedings of the …, 2012 – cloudfront.escholarship.org
… As a result, our method showed significantly better accuracy (0.84) of judging words as metonymic or literal expressions than that of the baseline. Keywords: Metonymy; Association Experiment; Associative Concept Dictionaries; Verbs; Nouns …
A System for Answering Scheduling Questions based on Concept Association
E Yoshimura, M Imono, S Tsuchiya… – Proceedings on the …, 2014 – world-comp.org
… Of SMC2001, pp.877-881, 2001. [6] J.Okamoto, S.Ishizaki,: Construction of Associative Concept Dictionary with Distance Information, and Comparison with Electronic Concept Dictionary, Journal of natural language processing, Vol.8, No.4,pp.37-54, 2001 …
Dialectical-belief Features in Design Education for Artisans
DW Junaidy, Y Nagai – design-cu.jp
… stage of idea generation. In this study, we used a concept network method based on the associative concept dictionary to extract verbalized thoughts. The framework consisted of the steps listed below (Fig. 1). Figure 1. Design …
Research on design idea generation support through design practice
T Murakami, S Higashihara, T Fukuda… – DS 75-9: Proceedings …, 2013 – designsociety.org
… (in Japanese). Okamoto, J. and Ishizaki, S. (2001) Construction of Associative Concept Dictionary with Distance Information, and Comparison with Electronic Concept Dictionary. Journal of Natural Language Processing, vol.8, no.4, pp.37-54 (in Japanese) …
Modelling tactual experience with product materials
GV Georgiev, Y Nagai, T Taura – International Journal of …, 2016 – inderscienceonline.com
… according to the material samples and analysed. For detection of the in-depth impressions, we used a common applicable associative analysis tool – associative concept dictionary (database). The ‘University of South Florida free …
Active Impressions Of Design Products
K Yamada, Y Nagai, T Taura – research.kobe-u.ac.jp
… The words classified under ?ASSOCIATED? were determined to be associated with the words classified under the ?GIVEN? category using the associative concept dictionary (Okamoto and Ishizaki, 2001), which is based on people’s associations …
How to Take Advantage of the Limitations with Markov Clustering?-The Foundations of Branching Markov Clustering (BMCL)
H Akama, M Miyake, J Jung – Proceedings of the Third International Joint …, 2008 – aclweb.org
… I. Associative Concept Dictionary of Japanese Words (Ishizaki et al., 2001), hereafter abbreviated as ACDJ, which consists of 33,018 words and 240,093 word pairing collected in an association task involving 10 participants …
Evaluating Tactual Experience with Products
GV Georgiev, Y Nagai, T Taura – Impact of Design Research on Industrial …, 2016 – Springer
… For detection of the in-depth impressions, we used a common applicable associative analysis tool—associative concept dictionary (database). The ‘University of South Florida free association, rhyme, and word fragment norms’ database created by Nelson et al …
Korean Word Associations: The Linked Structures for Language Learning
J Jung, N Makoshi, H Akama – … Learning Technologies, 2009 …, 2009 – ieeexplore.ieee.org
… [3] J. Jung, M. Miyake, N. Makoshi, and H. Akama, “Development of a Web-based Composition Support System – Using Graph Clustering Methodologies Applied to an Associative Concepts Dictionary”, Proc. of ICALT,2006, pp.431~435. (3) (2) (1) 432
Thinking Pattern in Concept Synthesis (2): Complexity of the Thinking Process
T Taura, Y Nagai – Concept Generation for Design Creativity, 2013 – Springer
In this chapter, we conduct a computer simulation in order to capture the characteristics or patterns in concept synthesis, which may lead to a creative design idea. This approach employs a research f.
News Selection Method Considering the User’s Interests for an Intelligent Conversation System
E Yoshimura, M Imono, S Tsuchiya… – Proceedings on the …, 2016 – search.proquest.com
… [8] NTCIR, : http://research.nii.ac.jp/ntcir/ [9] J.Okamoto, S.Ishizaki, : Construction of Associative Concept Dictionary with Distance Information, and Comparison with Electronic Concept Dictionary, Journal of Natural Language Processing, Vol.8, No.4, pp.37-54 (2001) …
Analysis of the Semantic Network Structure of Japanese Word Associations: An Investigation of Clustering Granularity with Two Extracted Sub-Networks
M Miyake, T Joyce – researchgate.net
… Phys. Rev., E69, 026113. Okamoto, J., & Ishizaki, S. (2001). Associative Concept Dictionary and its Comparison with Electronic Concept Dictionaries. PACLING2001, 214–220. Ravasz, E., & Barabasi, AL (2003). Hierarchical Organization in Complex Networks. Physical Rev …
A Simile Recognition System using a Commonsense Sensory Association Method
E Yoshimura, M Imono, S Tsuchiya… – Procedia Computer …, 2015 – Elsevier
… 6. T.Sakaguchi, S.Ishizaki, “Implementation of Associative Concept Dictionary for Semantic Network Structure and its Application for Metaphor Undestanding System”, IPSJ SIG Technical Report MPS, No.91, pp21-24, 2003 …
Extraction Of Hyponymy, Meronymy, And Antonymy Relation Pairs: A Brief Survey
G Sahin – pdfs.semanticscholar.org
… Extracted new hyponyms were compared with hyponyms which are in the associative concept dictionary created by humans. In this way, it is observed that how many new hyponyms are present in the dictionary and how many are not …
Representational similarity encoding for fMRI: Pattern-based synthesis to predict brain activity using stimulus-model-similarities
AJ Anderson, BD Zinszer, RDS Raizada – NeuroImage, 2016 – Elsevier
Skip to main content …
Individual typological differences in a neurally distributed semantic processing system: Revisiting the Science article by Mitchell et al. on computational …
H Akama – F1000Research, 2018 – f1000research.com
… 2011; 5: 72. PubMed Abstract | Publisher Full Text | Free Full Text; 6. Akama H, Miyake M, Jung J, et al.: Using Graph Components Derived from an Associative Concept Dictionary to Predict fMRI Neural Activation Patterns that Represent the Meaning of Nouns. PLoS One …
Remarks on logic for process descriptions in ontological reasoning: A Drug Interaction Ontology case study
M Okada, B Smith, Y Sugimoto – 2008 – philpapers.org
… It is crucial for text understanding systems. As one of the concept dictionaries, an associative concept dictionary is built by using large scale association experiments, and is used for NLP systems such as metaphor understanding or word sense disambiguation …
Mitchell. on computational neurolinguistics et al
H Akama – 2018 – f1000research.com
Page 1. Open Peer Review Discuss this article (0) Comments RESEARCH ARTICLE Individual typological differences in a neurally distributed semantic processing system: Revisiting the …
A novel approach to word sense disambiguation based on topical and semantic association
X Wang, W Zuo, Y Wang – The Scientific World Journal, 2013 – hindawi.com
The Scientific World Journal is a peer-reviewed, Open Access journal that publishes original research, reviews, and clinical studies covering a wide range of subjects in science, technology, and medicine. The journal is divided into 81 subject areas.
Indicating Important Parts in Searched Web Pages by Retrieval Keywords
S Yokoo, N Yoshiura – Behavior and Social Computing, 2013 – Springer
… In: Proceedings of 19th International Conference on Computational Linguistics, pp. 342–348 (2002) 2. Okamoto, J., Ishizaki, S.: Evaluation of extraction method of important sentence based on associative concept dictionary with distance information between con- cepts …
User interface design combining a logical and physical structure-based approach
J Ichino, M Onda, S Tano, T Hashiyama… – Proceedings of the 26th …, 2014 – dl.acm.org
… Or in concrete terms, a feature can be considered where the system recommends page bac ground or button colors using information on word-color association using similarities between words in the logical structure and associative concept dictionaries. Figure 14 …
3 Decoding Language from the Brain
B Murphy, L Wehbe, A Fyshe – Language, Cognition, and …, 2018 – books.google.com
Page 70. 3 Decoding Language from the Brain Brian Murphy, Leila Wehbe, and Alona Fyshe Abstract In this paper we review recent computational approaches to the study of language with neuroimaging data. Recordings of …
Bootstrapping distributional feature vector quality
M Zhitomirsky-Geffet, I Dagan – Computational linguistics, 2009 – MIT Press
Page 1. Bootstrapping Distributional Feature Vector Quality Maayan Zhitomirsky- Geffet ? Bar-Ilan University Ido Dagan ?? Bar-Ilan University This article presents a novel bootstrapping approach for improving the quality of …
Co-occurrence-based indicators for investigating authors’ styles
T Suzuki, S Kawamura, F Yoshikane, K Kageura… – Citeseer
… Akama H., Jung J., Joyce T. and Miyake M. (2008). Random graph model simulations of semantic networks for associative Concept dictionaries. In Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing, pp …
Corpus-driven semantic relations extraction for Turkish language
T Y?ld?z – 2014 – dspace.yildiz.edu.tr
Page 1. REPUBLIC OF TURKEY YILDIZ TECHNICAL UNIVERSITY GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES CORPUS-DRIVEN SEMANTIC RELATIONS EXTRACTION FOR TURKISH LANGUAGE TU?BA YILDIZ PhD. THESIS …
Perspectives on design creativity and innovation research
Editorial Board of IJDCI – 2013 – Taylor & Francis
Skip to Main Content …
Co-occurrence-based indicators for authorship analysis
T Suzuki, S Kawamura, F Yoshikane… – Literary and …, 2012 – academic.oup.com
Abstract. Along with its methodological development, authorship analysis has expanded in scope to new application areas like authorship profiling and computati.