Zobrazeno 1 - 10
of 1 373
pro vyhledávání: '"event extraction"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 2, Pp 547-560 (2024)
Event Extraction (EE) is a key task in information extraction, which requires high-quality annotated data that are often costly to obtain. Traditional classification-based methods suffer from low-resource scenarios due to the lack of label semantics
Externí odkaz:
https://doaj.org/article/bdbb91c1c50043ccb22e91407bd5e58f
Autor:
Wang, Sijia
Supervised approaches, especially those employing deep neural networks, have showcased impressive performance, relying on a significant volume of manual annotations. However, their effectiveness encounters challenges when attempting to generalize to
Externí odkaz:
https://hdl.handle.net/10919/121157
Publikováno v:
PeerJ Computer Science, Vol 10, p e2355 (2024)
News event monitoring systems allow real-time monitoring of a large number of events reported in the news, including the urgent and critical events comprising the so-called hard news. These systems heavily rely on natural language processing (NLP) to
Externí odkaz:
https://doaj.org/article/efed871bbaa54f0da3eb0d918469a58f
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34057- (2024)
Objective: To address the challenges arising from the rapid growth of text data in the biomedical field, including the problems of irrelevant argument interference and deep semantic association neglect in existing event argument detection methods, as
Externí odkaz:
https://doaj.org/article/3976a0b234cb46d4a8c67e095bbcc932
Publikováno v:
IEEE Access, Vol 12, Pp 160074-160082 (2024)
As internet information expands rapidly, extracting valuable event information from unstructured text has become an important research topic. This paper proposes an improved GPT2 model, termed HACLV-GPT2, which is the initial utilization of a GPT-lik
Externí odkaz:
https://doaj.org/article/61bbf741cb8a4f32ad51ab2db29e7fec
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 1, Pp 204-213 (2024)
Purposes Event extraction is a prerequisite for building high-quality event knowledge graphs. The dependency of event elements exists in the process of clinical event extraction. Existing methods fail to accurately identify event elements and combine
Externí odkaz:
https://doaj.org/article/acac5f6844a64e119e791c99346402a1
Publikováno v:
IEEE Access, Vol 12, Pp 45359-45368 (2024)
As an important task in the field of information extraction, event detection is widely used in event graph construction and network public opinion monitoring. Although the existing methods (such as BGCN, MGRN-EE, etc.) have obtained well performance
Externí odkaz:
https://doaj.org/article/f3e9b22e020f4b1798af70a7c00a0d21
Autor:
Mulya Dimmas, Khodra Masayu Leylia
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 315-25 (2023)
Biomedical event extraction is applied to biomedical texts to obtain a list of events within the biomedical domain. The best GENIA biomedical event extraction research uses sequence labeling techniques with a joint approach, softmax decoder for event
Externí odkaz:
https://doaj.org/article/db31936428434d729d19ba71763d8517
Publikováno v:
Symmetry, Vol 16, Iss 9, p 1214 (2024)
Event extraction is a complex and challenging task in the field of information extraction. It aims to identify event types, triggers, and argument information from the text. In recent years, overlapping event extraction has attracted the attention of
Externí odkaz:
https://doaj.org/article/3115c4f736d14579b62cd383be496a1d
Autor:
Chanatip Saetia, Areeya Thonglong, Thanpitcha Amornchaiteera, Tawunrat Chalothorn, Supawat Taerungruang, Pakpoom Buabthong
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Event extraction, grounded in semantic relationships, can serve as a simplified relation extraction. In this study, we propose an efficient open-domain event annotation framework tailored for subsequent information extraction, with a specific focus o
Externí odkaz:
https://doaj.org/article/9f753e750a10463ebd95591ffacea53a