Results 21 to 30 of about 177,864 (288)
Named Entity Recognition Model Based on Feature Fusion
Named entity recognition can deeply explore semantic features and enhance the ability of vector representation of text data. This paper proposes a named entity recognition method based on multi-head attention to aim at the problem of fuzzy lexical ...
Zhen Sun, Xinfu Li
doaj +1 more source
Multilingual Name Entity Recognition and Intent Classification employing Deep Learning architectures
24 pages, 5 figures, 11 tables, dataset ...
Rizou, Sofia +5 more
openaire +2 more sources
Full-span named entity recognition with boundary regression
Span classification is a popular method for nested named entity recognition. To recognise full-span named entities, span-based models should enumerate and verify all possible entity spans in a sentence, which leads to serious problems regarding ...
Junhui Yu +4 more
doaj +1 more source
With the aim of solving the current problems of low utilization of entity features, multiple meanings of a word, and poor recognition of specialized terms in the Chinese power marketing domain named entity recognition (PMDNER), this study proposes a ...
Yan Chen +3 more
doaj +1 more source
A Chinese Named Entity Recognition Method Based on ERNIE-BiLSTM-CRF for Food Safety Domain
Food safety is closely related to human health. Therefore, named entity recognition technology is used to extract named entities related to food safety, and building a regulatory knowledge graph in the field of food safety can help relevant authorities ...
Taiping Yuan, Xizhong Qin, Chunji Wei
doaj +1 more source
This paper proposes a novel model for named entity recognition of Chinese crop diseases and pests. The model is intended to solve the problems of uneven entity distribution, incomplete recognition of complex terms, and unclear entity boundaries. First, a
Jianqin Liang +4 more
doaj +1 more source
Information on historical flood levels can be communicated verbally, in documents, or in the form of flood marks. The latter are the most useful from the point of view of public awareness building and mathematical modeling of floods.
R. Szczepanek
semanticscholar +1 more source
Indonesian news classification application with named entity recognition approach
Nowadays, many netizens search for news via search engines with countless amounts of information, so it is increasingly difficult to determine when the number of news articles that appear changes very quickly and dynamically.
N. Nurchim +2 more
semanticscholar +1 more source
MLNet: a multi-level multimodal named entity recognition architecture
In the field of human–computer interaction, accurate identification of talking objects can help robots to accomplish subsequent tasks such as decision-making or recommendation; therefore, object determination is of great interest as a pre-requisite task.
Hanming Zhai +4 more
doaj +1 more source
Named Entity Recognition Utilized to Enhance Text Classification While Preserving Privacy
Recent development in Natural Language Processing (NLP) techniques has encouraged NLP-based application in various field including business, legal and health.
Mohammed Kutbi
semanticscholar +1 more source

