Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Weiming Peng"'
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e32093- (2024)
Chinese agricultural named entity recognition (NER) has been studied with supervised learning for many years. However, considering the scarcity of public datasets in the agricultural domain, exploring this task in the few-shot scenario is more practi
Externí odkaz:
https://doaj.org/article/d0f8931e4c59442298523b4517e2fa8f
Publikováno v:
Tehnički Vjesnik, Vol 29, Iss 4, Pp 1220-1229 (2022)
In real sequence pattern mining scenarios, the interval information between two item sets is very important. However, although existing algorithms can effectively mine frequent subsequence sets, the interval information is ignored. This paper aims to
Externí odkaz:
https://doaj.org/article/f9c048fff4a44e7a9462e9bfe8524c0a
Publikováno v:
IEEE Access, Vol 10, Pp 70295-70304 (2022)
Considering that when the traditional network structure is connected with the pre-trained language model for sentence embedding representation, it relies on simple word weights to generate sentence vectors, which easily ignores the global and context
Externí odkaz:
https://doaj.org/article/530adf3dca964e9f8a27b5c4d016911e
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 1, Pp 211-221 (2021)
The paper assesses sentence readability based on the standards in the field of Chinese L2 teaching. In view of the inapplicability of the field standards in text readability assessment, the study focuses on two aspects. On the one hand, the graded le
Externí odkaz:
https://doaj.org/article/f3255e376ef446509b3ad0e431c21c4d
Publikováno v:
Tehnički Vjesnik, Vol 28, Iss 3, Pp 845-855 (2021)
Vocabulary grading is of great importance in Chinese vocabulary teaching. This paper starts with an analysis of the lexical attributes that affect lexical complexity, followed by an explanation of the extraction of lexical attribute information combi
Externí odkaz:
https://doaj.org/article/87a4e9b8e8d4421982c92992bb05fb23
Publikováno v:
Tehnički Vjesnik, Vol 27, Iss 1, Pp 81-88 (2020)
Generating sentences with a desired word is useful in many natural language processing tasks. State-of-the-art recurrent neural network (RNN)-based models mainly generate sentences in a left-to-right manner, which does not allow explicit and direct c
Externí odkaz:
https://doaj.org/article/50084f13618046659ac946bb2031848f
Publikováno v:
IEEE Access, Vol 8, Pp 218095-218109 (2020)
There are many temporarily constructed dynamic words in Chinese sentences. Dynamic words are sentence building units that are not included in the general lexicon and are not suitable for further syntactic analysis. Automatic recognition and analysis
Externí odkaz:
https://doaj.org/article/4274e5d80abc4039b88f7d1d36fb0150
Publikováno v:
Entropy, Vol 24, Iss 9, p 1206 (2022)
Automated essay scoring aims to evaluate the quality of an essay automatically. It is one of the main educational application in the field of natural language processing. Recently, Pre-training techniques have been used to improve performance on down
Externí odkaz:
https://doaj.org/article/dc27f51784e647449a7ebb676943bc3c
Publikováno v:
IEEE Access, Vol 7, Pp 144618-144627 (2019)
Sentence generation is a key task in many natural language processing systems. Models based on a variational autoencoder (VAE) can generate plausible sentences from a continuous latent space. However, the VAE forces the latent distribution of each in
Externí odkaz:
https://doaj.org/article/2626b380afd4432fb1eb5288261a6aab
Publikováno v:
Sensors, Vol 22, Iss 13, p 5024 (2022)
In the process of semantic capture, traditional sentence representation methods tend to lose a lot of global and contextual semantics and ignore the internal structure information of words in sentences. To address these limitations, we propose a sent
Externí odkaz:
https://doaj.org/article/f81dffb7c36448d28723d57899ef35ed