Conceptual information retrieval using RUBRIC
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic indexing based on Bayesian inference networks
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Using perceptual inference networks to manage vision processes
Computer Vision and Image Understanding
Distributional clustering of words for text classification
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive learning methods for text categorization
ACM Transactions on Information Systems (TOIS)
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval based on context distance and morphology
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive vocabulary mapping with a spreading activation network
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Building Hypertext Links By Computing Semantic Similarity
IEEE Transactions on Knowledge and Data Engineering
Conceptual Grouping in Word Co-Occurrence Networks
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Similarity-based word sense disambiguation
Computational Linguistics - Special issue on word sense disambiguation
Topical clustering of MRD senses based on information retrieval techniques
Computational Linguistics - Special issue on word sense disambiguation
Using corpus statistics and WordNet relations for sense identification
Computational Linguistics - Special issue on word sense disambiguation
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
HLT '91 Proceedings of the workshop on Speech and Natural Language
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Locally excitatory globally inhibitory oscillator networks
IEEE Transactions on Neural Networks
Stratification Approach to Modeling Video
Multimedia Tools and Applications
Learning pattern rules for Chinese named entity extraction
Eighteenth national conference on Artificial intelligence
Structured use of external knowledge for event-based open domain question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A maximal figure-of-merit learning approach to text categorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
QUALIFIER: question answering by lexical fabric and external resources
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Extracting pronunciation-translated names from Chinese texts using bootstrapping approach
SIGHAN '02 Proceedings of the first SIGHAN workshop on Chinese language processing - Volume 18
ACM Transactions on Information Systems (TOIS)
Web directories as a knowledge base to build a multi-agent system for information sharing
Web Intelligence and Agent Systems
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This paper presents an approach to automatically build a semantic perceptron net (SPN) for topic spotting. It uses context at the lower layer to select the exact meaning of key words, and employs a combination of context, co-occurrence statistics and thesaurus to group the distributed but semantically related words within a topic to form basic semantic nodes. The semantic nodes are then used to infer the topic within an input document. Experiments on Reuters 21578 data set demonstrate that SPN is able to capture the semantics of topics, and it performs well on topic spotting task.