Results 251 to 260 of about 8,642,195 (291)
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Semantic interpretation and knowledge extraction
Knowledge-Based Systems, 2007A system that extracts knowledge from texts is presented. It is also indicated how the inferences necessary for the extraction of knowledge can be acquired by the system from sentences entered by users. The knowledge acquisition component is grounded on a semantic interpreter of English based on an enhanced WordNet.
Gomez, Fernando, Segami, Carlos
exaly +3 more sources
Automatic ontology-based knowledge extraction from Web documents [PDF]
IEEE Intelligent Systems, 2003 To bring the Semantic Web to life and provide advanced knowledge services, we need efficient ways to access and extract knowledge from Web documents. Although Web page annotations could facilitate such knowledge gathering, annotations are rare and will ...
P H Lewis
exaly +3 more sources
An algorithm for knowledge extraction
Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education, 2020An algorithm with an embedded genetic algorithm is presented in this paper, for attribute reduction and knowledge extraction. Due to the high dimension of text data, the classification precision is applied as the threshold of an evaluation index for the iterative process of the algorithm, and is also utilized as the fitness function of the embedded ...
Ying Yu, Lingyun Wang, Jianye Lu
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Ontological Approach: Knowledge Representation and Knowledge Extraction
Lobachevskii Journal of Mathematics, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ataeva, O. M. +2 more
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Quantity Knowledge Extraction and Search
ACM SIGWEB Newsletter, 2023Vinh Thinh Ho is an applied scientist at Amazon Development Center, working in Alexa AI-NLU team. He completed his PhD at Max Planck Institute for Informatics, under the supervision of Prof. Gerhard Weikum. His research broadly covers the area of semantic web, with main focuses on knowledge bases, quantity search, information extraction and retrieval ...
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Knowledge Distillation on Extractive Summarization
2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2020Large-scale pre-trained frameworks have shown state-of-the-art performance in several natural language processing tasks. However, the costly training and inference time are great challenges when deploying such models to real-world applications. In this work, we conduct an empirical study of knowledge distillation on an extractive text summarization ...
Ying-Jia Lin +4 more
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Knowledge extraction for production management
Journal of Intelligent Manufacturing, 1994A procedure and underlying algorithm for extracting knowledge from production and inventory databases to support engineering management activities is described. The process searches for, detects and isolates behaviour patterns inherent in the data. It relates these patterns to production irregularities, suggests connections with specific causes and ...
Reuven Karni, Fabiana Fournier
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Knowledge Extraction for Literature Review
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016Researchers in all domains need to keep abreast with recent scientific advances. Finding relevant publications and reviewing them is a labor-intensive task that lacks efficient automatic tools to support it. Current tools are limited to standard keyword-based search systems that return potentially relevant documents and then leave the user with a ...
Tatiana N. Erekhinskaya +4 more
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Method for extracting commonsense knowledge
Proceedings of the fifth international conference on Knowledge capture, 2009This paper presents a semiautomatic method for generating commonsense axioms. The method relies on three metarules that process a few commonsense rules referring to some concept properties. The proposed algorithm searches automatically in Extended WordNet for all concepts that have a given property and generates axioms linking those concepts with the ...
Hakki C. Cankaya, Dan I. Moldovan
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Extracting Sequential Nuggets of Knowledge
2007We present the notion of sequential association rule and introduce Sequential Nuggets of Knowledge as sequential association rules with possible low support and good quality, which may be highly relevant to scientific knowledge discovery. Then we propose the algorithm SNK that mines some interesting subset of sequential nuggets of knowledge and apply ...
Christine Froidevaux +2 more
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