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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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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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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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Automatic Extraction of Actionable Knowledge
2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 2016In this paper, we describe K-Extractor, a powerful NLP framework that provides integrated and seamless access to structured and unstructured information with minimal effort. The K-Extractor converts natural language documents into a rich set of semantic triples that, not only, can be stored within an RDF semantic index, but also, can be queried using ...
Marta Tatu +4 more
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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
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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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