Zobrazeno 1 - 10
of 67
pro vyhledávání: '"knowledge graph question answering"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2887-2900 (2024)
Knowledge graph question answering (KGQA) is a technology that retrieves relevant answers from a knowledge graph by processing natural language questions posed by users. Early KGQA technologies were limited by the size of knowledge graphs, computatio
Externí odkaz:
https://doaj.org/article/fc4b21656f73454fa667d82d09efdde3
Publikováno v:
PeerJ Computer Science, Vol 9, p e1725 (2023)
Answer sorting and filtering are two closely related steps for determining the answer to a question. Answer sorting is designed to produce an ordered list of scores based on Top-k and contextual criteria. Answer filtering optimizes the selection acco
Externí odkaz:
https://doaj.org/article/075fa60b415a44e691e8857829779991
Autor:
SA Rina, LI Yanling, LIN Min
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 8, Pp 1727-1741 (2022)
Knowledge graph question answering (KGQA) is based on analysis and understanding of questions and knowledge graph (KG) to obtain the answers. However, due to the complexity of natural language questions and the incompleteness of KG, the accuracy of a
Externí odkaz:
https://doaj.org/article/a2c4917f778348f692ca81e1ca5a53b5
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-26 (2022)
Abstract Entity detection task on knowledge graph question answering systems has been studied well on simple questions. However, the task is still challenging on complex questions. It is due to a complex question is composed of more than one fact or
Externí odkaz:
https://doaj.org/article/c17bc4fa2a9b4f02a259f0b7d14e0b82
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Jisuanji kexue yu tansuo, Vol 15, Iss 10, Pp 1843-1869 (2021)
Knowledge graph question answering (KGQA) is the procedure of processing natural language questions posed by users to obtain relevant answers from knowledge graph (KG) based on some form of KG. Due to the limitation of knowledge scale, computing powe
Externí odkaz:
https://doaj.org/article/42ddbb7e8e6d4ea49294b2728e2a7667
Publikováno v:
Information, Vol 14, Iss 6, p 336 (2023)
Knowledge graphs are graph-based data models which can represent real-time data that is constantly growing with the addition of new information. The question-answering systems over knowledge graphs (KGQA) retrieve answers to a natural language questi
Externí odkaz:
https://doaj.org/article/d394288e51644c57b20d7b0a66dfe67e
Publikováno v:
Information, Vol 13, Iss 11, p 526 (2022)
Knowledge graphs gained popularity in recent years and have been useful for concept visualization and contextual information retrieval in various applications. However, constructing a knowledge graph by scraping long and complex unstructured texts fo
Externí odkaz:
https://doaj.org/article/060db6b7ce144a0f8f57572fa6f7ee5c
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Information; Volume 14; Issue 6; Pages: 336
Knowledge graphs are graph-based data models which can represent real-time data that is constantly growing with the addition of new information. The question-answering systems over knowledge graphs (KGQA) retrieve answers to a natural language questi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::111279248e0eeb171796bebfe6accd82