Results 21 to 30 of about 103,682 (312)

Cross-Lingual Named Entity Recognition Based on Attention and Adversarial Training

Applied Sciences, 2023
Named entity recognition aims to extract entities with specific meaning from unstructured text. Currently, deep learning methods have been widely used for this task and have achieved remarkable results, but it is often difficult to achieve better results
Hao Wang, Lekai Zhou, Jianyong Duan, Li He   +3 more
doaj   +1 more source

Named entity recognition in resumes

CoRR, 2023
Named entity recognition (NER) is used to extract information from various documents and texts such as names and dates. It is important to extract education and work experience information from resumes in order to filter them. Considering the fact that all information in a resume has to be entered to the companys system manually, automatizing this ...
Ege Kesim, Aysu Deliahmetoglu
openaire   +2 more sources

Power entity recognition based on bidirectional long short-term memory and conditional random fields

Global Energy Interconnection, 2020
With the application of artificial intelligence technology in the power industry, the knowledge graph is expected to play a key role in power grid dispatch processes, intelligent maintenance, and customer service response provision.
Zhixiang Ji, Xiaohui Wang, Changyu Cai, Hongjian Sun   +3 more
doaj   +1 more source

Few-shot Named Entity Ｒecognition for Medical Text

Journal of Harbin University of Science and Technology, 2021
Aiming at the problem that medical text named entity recognition lacks sufficient labeled data，a newly named entity recognition deep neural network and data enhancement method is proposed.
QIN Jian, HOU Jian-xin, XIE Yi-ning, HE Yong-jun   +3 more
doaj   +1 more source

Nested named entity recognition [PDF]

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1 - EMNLP '09, 2009
Many named entities contain other named entities inside them. Despite this fact, the field of named entity recognition has almost entirely ignored nested named entity recognition, but due to technological, rather than ideological reasons. In this paper, we present a new technique for recognizing nested named entities, by using a discriminative ...
Jenny Rose Finkel, Christopher D. Manning   +1 more
openaire   +2 more sources

MphayaNER: Named Entity Recognition for Tshivenda [PDF]

CoRR, 2023
Named Entity Recognition (NER) plays a vital role in various Natural Language Processing tasks such as information retrieval, text classification, and question answering. However, NER can be challenging, especially in low-resource languages with limited annotated datasets and tools.
Rendani Mbuvha, David Ifeoluwa Adelani, Tendani Mutavhatsindi, Tshimangadzo Rakhuhu, Aluwani Mauda, Tshifhiwa Joshua Maumela, Andisani Masindi, Seani Rananga, Vukosi Marivate, Tshilidzi Marwala   +9 more
openaire   +3 more sources

Chinese Fine‐Grained Geological Named Entity Recognition With Rules and FLAT

Earth and Space Science, 2022
Geological named entity recognition (NER) is an essential prerequisite to realizing geological information extraction and information retrieval and is an actual means for accomplishing structured reconstruction of unstructured geological data.
Siying Chen, Weihua Hua, Xiuguo Liu, Xiaotong Deng, Xinling Zeng, Jianchao Duan   +5 more
doaj   +1 more source

Federated Named Entity Recognition

CoRR, 2022
We present an analysis of the performance of Federated Learning in a paradigmatic natural-language processing task: Named-Entity Recognition (NER). For our evaluation, we use the language-independent CoNLL-2003 dataset as our benchmark dataset and a Bi-LSTM-CRF model as our benchmark NER model.
Joel Mathew, Dimitris Stripelis, José Luis Ambite   +2 more
openaire   +2 more sources

Attention-Based End-To-End Named Entity Recognition From Speech

, 2021
| openaire: EC/H2020/780069/EU//MeMADNamed entities are heavily used in the field of spoken language understanding, which uses speech as an input. The standard way of doing named entity recognition from speech involves a pipeline of two systems, where ...
Mikko Kurimo, Dejan Porjazovski, Leinonen, Juho, Kurimo, Mikko, Juho Leinonen, Porjazovski, Dejan   +5 more
core   +1 more source

Research Progress of Named Entity Recognition Based on Large Language Model [PDF]

Jisuanji kexue yu tansuo
Named entity recognition aims to identify named entities and their types from unstructured text, which is an important basic task in natural language processing technologies such as question answering system, machine translation and knowledge graph. With
LIANG Jia, ZHANG Liping, YAN Sheng, ZHAO Yubo, ZHANG Yawen
doaj   +1 more source