Zobrazeno 1 - 10
of 787
pro vyhledávání: '"entity extraction"'
Autor:
Emmanuel Dave, Andry Chowanda
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-24 (2024)
Abstract There is minimal research focusing on applications of Indonesian named entity recognition (NER) in a specific domain. This study proposes an Indonesian personal financial entity extraction task that can be utilized in a financial assistant c
Externí odkaz:
https://doaj.org/article/bbedd513abf04479aad7d3356cce6f18
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 531-548 (2024)
Implementing the Rasa NLU pipeline allowed intent detection and entity recognition, particularly in complex scenarios with multi-intent queries. Communication within the Rasa NLU pipeline was effectively managed, ensuring seamless data flow between c
Externí odkaz:
https://doaj.org/article/d8c239f74b58421989de7ee0858c8368
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1911-1922 (2024)
The extraction of medical entities from drug instructions provides fundamental data for the intelligent retrieval of medication information and the construction of medical knowledge graphs, with remarkable research significance and practical value. H
Externí odkaz:
https://doaj.org/article/024877385fbe4f8cbc09f6374763a153
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 574-596 (2024)
Entity-relationship extraction has gained more and more attention from researchers as a basis for knowledge graph construction. Entity-relationship extraction can automatically and accurately obtain knowledge from a large amount of data, and represen
Externí odkaz:
https://doaj.org/article/a202129a1f0441039b6f28ea22104975
Publikováno v:
大数据, Vol 10, Pp 46-61 (2024)
Entity extraction is an essential task in information extraction.In recent years, under the trend of training model with big data, deep learning has achieved success in entity extraction.However, in the fields such as natural environment, there are v
Externí odkaz:
https://doaj.org/article/84011a55c05d44128828760f131285d4
Autor:
Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Le Minh Nguyen
Publikováno v:
IEEE Access, Vol 12, Pp 103313-103328 (2024)
Named Entity Recognition and Relation Extraction are two crucial and challenging subtasks in Information Extraction. Despite the successes achieved by the traditional approaches, fundamental research questions remain open. First, most recent studies
Externí odkaz:
https://doaj.org/article/8ee240f378ef44d4a70757e446001dfb
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 369-391 (2024)
In traditional Chinese medicine (TCM), artificial intelligence (AI)-assisted syndrome differentiation and disease diagnoses primarily confront the challenges of accurate symptom identification and classification. This study introduces a multi-label e
Externí odkaz:
https://doaj.org/article/0b2b12b92a954f8da244bff81e64969b
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 9063 (2024)
The technology of military equipment entity extraction, a crucial component in constructing military knowledge bases, holds significant research value and theoretical importance for guiding the development and improvement of equipment support forces.
Externí odkaz:
https://doaj.org/article/e23f10403fd946629e5fe3dcc1703d62
Extracting named entities from Russian-language documents with different expressiveness of structure
Autor:
Maria D. Averina, Olga A. Levanova
Publikováno v:
Моделирование и анализ информационных систем, Vol 30, Iss 4, Pp 382-393 (2023)
This work is devoted to solving the problem of recognizing named entities for Russian-language texts based on the CRF model. Two sets of data were considered: documents on refinancing with a good document structure, semi-structured texts of court rec
Externí odkaz:
https://doaj.org/article/fbbfca93b18744e09e6fa483a803860f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 11, Pp 20050-20072 (2023)
The primary objective of document-level event extraction is to extract relevant event information from lengthy texts. However, many existing methods for document-level event extraction fail to fully incorporate the contextual information that spans a
Externí odkaz:
https://doaj.org/article/642933a393764e348e9b89e6b8738828