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pro vyhledávání: '"Resource information"'
Akademický článek
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Autor:
Cai, Erica, Simek, Olga, Miller, Benjamin A., Sullivan-Pao, Danielle, Young, Evan, Smith, Christopher L.
We propose a pipeline for identifying important entities from intelligence reports that constructs a knowledge graph, where nodes correspond to entities of fine-grained types (e.g. traffickers) extracted from the text and edges correspond to extracte
Externí odkaz:
http://arxiv.org/abs/2401.04915
Autor:
Mahendra, M. Raka1 rakamahendrar@gmail.com
Publikováno v:
Dinasti International Journal of Management Science (DIJMS). Jan2023, Vol. 4 Issue 3, p509-520. 12p.
Autor:
Ma, Mingyu Derek, Wang, Xiaoxuan, Kung, Po-Nien, Brantingham, P. Jeffrey, Peng, Nanyun, Wang, Wei
Information extraction tasks such as event extraction require an in-depth understanding of the output structure and sub-task dependencies. They heavily rely on task-specific training data in the form of (passage, target structure) pairs to obtain rea
Externí odkaz:
http://arxiv.org/abs/2305.15090
Autor:
Merva, Mary ⁎, Costagli, Simona
Publikováno v:
In Telecommunications Policy August 2024 48(7)
Autor:
Jadesola Ololade, Alebiosu, Odunayo Paul, Salau, Tolulope Morenike, Atolagbe ∗, Augustina Esitse, Dada
Publikováno v:
In Heliyon January 2023 9(1)
Personalized Recommendation of Educational Resource Information Based on Adaptive Genetic Algorithm.
Autor:
Zhu, Yan1 (AUTHOR) yzzdddzy@126.com
Publikováno v:
International Journal of Reliability, Quality & Safety Engineering. Apr2023, Vol. 30 Issue 2, p1-25. 25p.
Autor:
Hu, Xuming, Meng, Shiao, Zhang, Chenwei, Yang, Xiangli, Wen, Lijie, King, Irwin, Yu, Philip S.
Information Extraction (IE) aims to extract structured information from heterogeneous sources. IE from natural language texts include sub-tasks such as Named Entity Recognition (NER), Relation Extraction (RE), and Event Extraction (EE). Most IE syste
Externí odkaz:
http://arxiv.org/abs/2211.06014