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A competition-based connectionist model for information retrieval using a merged thesaurus

Inien Syu, S. D. Lang
1994 Proceedings of the third international conference on Information and knowledge management - CIKM '94  
In our previous work [15], we adapted a competition-based connectionist model for diagnostic problem solving [12] to information retrieval.  ...  This paper investigates a network-based information retrieval model using diagnostic inferencing techniques.  ...  Bates [1] described the use of terms provided by the end-users to enrich the indexer thesaurus.  ... 
doi:10.1145/191246.191273 dblp:conf/cikm/SyuL94 fatcat:7ve67vylunddxaavmrfwuhwnvu

Medical-Image Retrieval Based on Knowledge-Assisted Text and Image Indexing

C. Lacoste, Joo-Hwee Lim, J.-P. Chevallet, D.T.H. Le
2007 IEEE transactions on circuits and systems for video technology (Print)  
Two fusion approaches are developed to improve textual retrieval using the UMLS-based image indexing.  ...  To facilitate automatic indexing and retrieval of large medical-image databases, both images and associated texts are indexed using medical concepts from the Unified Medical Language System (UMLS) meta-thesaurus  ...  Deselaers for the organization of image retrieval from medical collections. Finally, they would also like to thank T. Joachims for making his software available.  ... 
doi:10.1109/tcsvt.2007.897114 fatcat:s3phy77d3nhazfgubsyqshzaqu

IR and AI: Traditions of Representation and Anti-representation in Information Processing [chapter]

Yorick Wilks
2004 Lecture Notes in Computer Science  
sources of information from instruments, could be other than a matter for constraints and rules over coded expertise.  ...  , and the other linguistic or data-base structures, although one must always bear in mind that virtually all IE search rests on a prior IR retrieval of relevant documents or paragraphs.  ...  in the task of information retrieval.  ... 
doi:10.1007/978-3-540-24752-4_2 fatcat:n2uk3g4tkrcytektmxwhpdq5he

Early lexical development in a self-organizing neural network

Ping Li, Igor Farkas, Brian MacWhinney
2004 Neural Networks  
These results match up with patterns from empirical research on lexical development, and have significant implications for models of language acquisition based on self-organizing neural networks. q  ...  The model captures a number of important phenomena that occur in early lexical acquisition by children, as it allows for the representation of a dynamically changing linguistic environment in language  ...  We thank Risto Miikkulainen for helpful discussions on various aspects of the model.  ... 
doi:10.1016/j.neunet.2004.07.004 pmid:15555870 fatcat:zkzij5e5ena35fkdzzqvfa3idu

Further reflections on TREC

Karen Sparck Jones
2000 Information Processing & Management  
The analysis of the tests is presented through a series of key questions about indexing models, document and query descriptions, search strategies, etc.  ...  One implication is that TREC should move into a new phase targeted on key comparisons and task speci®cations designed to deliver substantive new information, in particular shifting towards situated IR  ...  Acknowledgements I am grateful to Stephen Robertson and Donna Harman for their comments, and wish speci®cally to acknowledge the latter's scrupulous care in distinguishing her points as from a Referee,  ... 
doi:10.1016/s0306-4573(99)00044-8 fatcat:lqrad3oravfsxkzahlpj3afmea

Natural Language Processing as a Foundation of the Semantic Web

Yorick Wilks, Christopher Brewster
2007 Foundations and Trends® in Web Science  
Acknowledgments CB would like to thank José Iria for help in discussing and formulating the Abraxas model, and Ziqi Zhang for undertaking parts of the implementation and evaluation.  ...  Our thanks also to Kieron O'Hara and Wendy Hall for comments, discussion and aid with editing.  ...  Salton [158] initiated CLIR (Cross-language Information Retrieval) using a thesaurus and a bilingual dictionary between languages, and other forms of the technique have used Machine-Readable Bilingual  ... 
doi:10.1561/1800000002 fatcat:n2xfw3qdhverrokidb2globwyq

Clustering coefficients of lexical neighborhoods: Does neighborhood structure matter in spoken word recognition?

Nicholas Altieri, Thomas Gruenenfelder, David B. Pisoni
2010 The Mental Lexicon  
In Experiment 2, using a word repetition procedure, we observed longer response latencies for high CC words compared to low CC words.  ...  The results are discussed in terms of activation-plus-competition models of spoken word recognition.  ...  We would like to thank Vsevolod Kapatsinski for discussion and insightful comments.  ... 
doi:10.1075/ml.5.1.01alt pmid:21423865 pmcid:PMC3060033 fatcat:axvwkfykqfhs5jdsh53ufd43ry

Word sense disambiguation

Roberto Navigli
2009 ACM Computing Surveys  
We introduce the reader to the motivations for solving the ambiguity of words and provide a description of the task. We overview supervised, unsupervised, and knowledge-based approaches.  ...  Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner.  ...  and the four anonymous reviewers for their useful comments.  ... 
doi:10.1145/1459352.1459355 fatcat:jchhwe4xcjbbnjsqblynshli7i

A graphical, self‐organizing approach to classifying electronic meeting output

Richard E. Orwig, Hsinchun Chen, Jay F. Nunamaker
1997 Journal of the American Society for Information Science  
The synthesis of electronic portunities for improving information organization of texbrainstorming comments is a classification problem. It is tual information.  ...  Increasing uses of electronic mail, comsomething that humans currently do well, but not willputer-based bulletin board systems, and world-wide ingly, a situation that suggests using an artificial intelliweb  ...  This research is a continuation of research previously reported in Chen, Hsu, Orwig, Hoopes, & Nunamaker 1. Introduction (1994)  ... 
doi:10.1002/(sici)1097-4571(199702)48:2<157::aid-asi6>3.3.co;2-5 fatcat:66remurrnzbtvpvoxw5b5jfy6a

A graphical, self-organizing approach to classifying electronic meeting output

Richard E. Orwig, Hsinchun Chen, Jay F. Nunamaker
1997 Journal of the American Society for Information Science  
The synthesis of electronic portunities for improving information organization of texbrainstorming comments is a classification problem. It is tual information.  ...  Increasing uses of electronic mail, comsomething that humans currently do well, but not willputer-based bulletin board systems, and world-wide ingly, a situation that suggests using an artificial intelliweb  ...  This research is a continuation of research previously reported in Chen, Hsu, Orwig, Hoopes, & Nunamaker 1. Introduction (1994)  ... 
doi:10.1002/(sici)1097-4571(199702)48:2<157::aid-asi6>3.0.co;2-x fatcat:ehj36fsusbgzngg5xkhp6prq6u

A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law

Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori (+12 others)
2012 Artificial Intelligence and Law  
We provide a retrospective of 25 years of the International Conference on AI and Law, which was first held in 1987.  ...  Fifty papers have been selected from the thirteen conferences and each of them is described in a short subsection individually written by one of the 24 authors. These subsections attempt to place the  ...  Belew (1987) : A connectionist approach to conceptual information retrieval.  ... 
doi:10.1007/s10506-012-9131-x fatcat:g4qgrfrwyjcphdghpqlgfarxdy

Monolingual alignment of word senses and definitions in lexicographical resources

Sina Ahmadi, John P. McCrae
2022 Zenodo  
Dictionaries are fundamental resources for people to learn and document languages as well as for computers to process natural languages.  ...  A dictionary provides a fine-grained structure and description of the vocabulary of a language.  ...  Proisl et al. (2017a) proposed a system for generating translation candidates using a graph-based approach with a weighting scheme and a collocation-based model based on the parallel corpus Europarl.  ... 
doi:10.5281/zenodo.7034242 fatcat:t4qqc2nw5jb57pdupqxgmy7yea

Wikipedia Research and Tools: Review and Comments

Finn Årup Nielsen
2012 Social Science Research Network  
Well over 1,000 reports have been published in the field and there exist dedicated scientific meetings for Wikipedia research. It is not possible to give a complete review of all material published.  ...  Acknowledgment Thanks to Daniel Kinzler, Torsten Zesch, Felipe Ortega, Piotr Konieczny, Claudia Koltzenburg and James Heilman for pointing to references and tools Thanks also to Chitu Okoli, Mohamad Mehdi  ...  Annotation: Describes the Koru document retrieval system, that is based on a thesaurus constructed from Wikipedia data and features automatic query expansion.  ... 
doi:10.2139/ssrn.2129874 fatcat:h4znerp2efhn5j5bdi5rl7addi

Designing Statistical Language Learners: Experiments on Noun Compounds [article]

Mark Lauer
1996 arXiv   pre-print
These results suggest that the new class of designs identified is a promising one. The experiments also serve to highlight the need for a widely applicable theory of data requirements.  ...  In pursuit of that goal, the thesis makes two main theoretical contributions: (i) it identifies a new class of designs by specifying an architecture for natural language analysis in which probabilities  ...  (although see Mauldin, 1991 , who advocates the use of a conceptual dependency representation for information retrieval).  ... 
arXiv:cmp-lg/9609008v1 fatcat:yipwhts6ybhknmwimhbqrhchv4

Unsupervised Learning of Linguistic Structure: An Empirical Evaluation

David Powers
1997 International Journal of Corpus Linguistics  
We concentrate on a statistical framework based on N-grams, although we seek to maintain neurolinguistic plausibility.The model we adopt places putative linguistic units in focus and associates them with  ...  These vectors are treated as defining a hyperspace, within which we demonstrate a technique for examining the empirical utility of the various metrics and normalization, visualization, and clustering techniques  ...  , and Georg Schifferdecker for his preliminary exploration of some of the techniques used here and his collaboration in developing the software suite, which makes use of SICStus Prolog, Perl, Gnuplot,  ... 
doi:10.1075/ijcl.2.1.06pow fatcat:nvrcqnsfdzarpeqfg7eokwbgau
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