Zobrazeno 1 - 10
of 1 649
pro vyhledávání: '"Sequence Labeling"'
Publikováno v:
地质科技通报, Vol 43, Iss 4, Pp 224-234 (2024)
Objective With increasing difficulty in phosphate ore prospecting, there are an increasing number of geological exploration reports. The manual recognition of geological information related to phosphate rock mineralization in massive documents is tim
Externí odkaz:
https://doaj.org/article/becb4eb0096d4d35a708062b56e25fb4
Autor:
Marcel Geromel, Philipp Cimiano
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Sequence labeling is pervasive in natural language processing, encompassing tasks such as Named Entity Recognition, Question Answering, and Information Extraction. Traditionally, these tasks are addressed via supervised machine learning approaches. H
Externí odkaz:
https://doaj.org/article/fb57caa28e6745189320593cc0bd0a95
Autor:
Jennifer D’Souza
Publikováno v:
Knowledge, Vol 4, Iss 1, Pp 1-26 (2024)
We introduce the Open Research Knowledge Graph Agriculture Named Entity Recognition (the ORKG Agri-NER) corpus and service for contribution-centric scientific entity extraction and classification. The ORKG Agri-NER corpus is a seminal benchmark for t
Externí odkaz:
https://doaj.org/article/45c166eecc914d48adfe02c6bd0b87f8
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:
International Journal of Web Information Systems, 2023, Vol. 19, Issue 1, pp. 42-60.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-04-2023-0070
Autor:
Yuan Chunhui, Zhang Xiaoli
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In recent years, an increasing number of English teachers have recognized the importance of reading and writing skills. Traditional English teaching methods often overlook the essential link between these skills, which hinders the improvement of stud
Externí odkaz:
https://doaj.org/article/75608e0712f44e0baf896b1385b46951
Publikováno v:
IEEE Access, Vol 11, Pp 139521-139533 (2023)
Keyword extraction is an effective way to quickly identify key elements in text. It can accelerate the identification of key factors that play a role in accidents when applied to incident report analysis. Our research presents an innovative process f
Externí odkaz:
https://doaj.org/article/396385b5b1f44765b83aefc3ccc92cde
Publikováno v:
IEEE Access, Vol 11, Pp 93286-93292 (2023)
Recognizing event factuality is a crucial factor for understanding and generating texts with abundant references to possible and counterfactual events. Because event factuality is signaled by modality expressions, identifying modality expression is a
Externí odkaz:
https://doaj.org/article/19e984ef117540888bb09a5f0433f0cf
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2541 (2024)
Chinese spelling errors are commonplace in our daily lives, which might be caused by input methods, optical character recognition, or speech recognition. Due to Chinese characters’ phonetic and visual similarities, the Chinese spelling check (CSC)
Externí odkaz:
https://doaj.org/article/9a711e89c5744166a022eca66bb4b228
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1717 (2024)
Named entity recognition (NER) in natural language processing encompasses three primary types: flat, nested, and discontinuous. While the flat type often garners attention from researchers, nested NER poses a significant challenge. Current approaches
Externí odkaz:
https://doaj.org/article/b8472369efc747d6b2e8758d9abe9aaa