News article named entity recognition and analytics by Goh, Nicholas

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Keyword and named entity recognition on emergency call texts by Hu, Wanyu

“…This report utilize one of the methods of Artificial Intelligence (AI), specifically the Named Entity Recognition (NER) technique on Emergency Call Texts. …”
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Keyword and named entity recognition on air traffic control text by Tay, Nikole Qiwei

“…This report will discuss the application of Named Entity Recognition (NER), a Natural Language Processing (NLP) method on Air Traffic Control (ATC) conversations to improve and attain higher precision in the communication between pilots and air traffic controllers. …”
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Generalized AutoNLP model for name entity recognition task by Wong, Yung Shen

“…Experiments are conducted to study the performance of our proposed architecture with BERT word embeddings on AutoNLP name entity recognition tasks.…”
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Deep learning-based text augmentation for named entity recognition by Surana, Tanmay

“…This thesis is focused on the development of an effective text augmentation method for Named Entity Recognition (NER) in the low-resource setting. …”
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Keyword and named entity recognition on air traffic control (ATC) data by Thia, Jeremy Ming Xuan

“…This project will explore several NLP tasks to perform named entity recognition on Air Traffic Control data, to be specific Air Traffic conversations. …”
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Active learning for ontological event extraction incorporating named entity recognition and unknown word handling by Han, Xu, Kim, Jung-jae, Kwoh, Chee Keong

“…Previous works of active learning, however, focused on the tasks of entity recognition and protein-protein interactions, but not on event extraction tasks for multiple event types. …”
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Malaysian automatic number plate recognition validation using connected components analysis / by Abbas Musa Hassan, 1981- , author, Usman Ullah Sheikh, supervisor, Fakulti Kejuruteraan Elektrik 540663

Malaysian automatic number plate recognition validation using connected components analysis / by Abbas Musa Hassan, 1981- , author, Usman Ullah Sheikh, supervisor, Fakulti Kejuruteraan Elektrik 540663

Advancements and challenges: a comprehensive review of GAN-based models for the mitigation of small dataset and texture sticking issues in fake license plate recognition by Habeeb, Dhuha, Alhassani, A.H., Abdullah, Lili N., Der, Chen Soong, Alasadi, Loway Kauzm Qata

“…These insights are vital for researchers, practitioners, and policymakers aiming to bolster the effectiveness and reliability of GAN-based models in the critical domain of license plate recognition.…”
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Machine learning for NTU canteen review analysis and recommendation by Nguyen, Duy Khanh

“…Therefore, this report experiments with Deep Neural Networks, utilizing 2 pretrained models namely T5 and Bart to handle the Food Named Entity Recognition task.…”
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Active learning with applications in biomedical document annotation by Han, Xu

“…In addi- tion, the adaptation of the active learning method into named entity recognition tasks also improves the document selection for manual annotation of named entities. …”
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Converting a text mining system into a UIMA framework by Choo, Zhen Ying.

“…These parts include converting a Named Entity Recognition (NER) module and parsing the input sentences to obtain their semantic structures, as well as a Pattern Matching module to identify the relations between the named entities. …”
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Development of a system to analyze fake news by Sankpal, Shibani Prashant

“…The analysis of the fake news articles in the web application has also expanded with the inclusion of sentiment analysis, text summarization and Named Entity Recognition. The inclusion of sentiment analysis would help the user discern whether the article conveys positivity, negativity, or neutrality, providing insight into the potential intent of the article.…”
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Lightweight transformers for clinical natural language processing by Rohanian, O, Nouriborji, M, Jauncey, H, Kouchaki, S, Nooralahzadeh, F, Clifton, L, Merson, L, Clifton, DA

“…Our extensive evaluation was done across several standard datasets and covered a wide range of clinical text-mining tasks, including natural language inference, relation extraction, named entity recognition and sequence classification. To our knowledge, this is the first comprehensive study specifically focused on creating efficient and compact transformers for clinical NLP tasks. …”

Computer Supported Cooperative Work and Social Computing : 15th CCF Conference, ChineseCSCW 2020, Shenzhen, China, November 7-9, 2020, Revised Selected Papers / by CCF Conference on Computer Supported Cooperative Work and Social Computing (15th : 2020 : Shenzhen, China), organiser 642953, Sun, Yuqing, editor 642954, Liu, Dongning, editor 642955, Liao, Hao, 1986-, editor 642956, Fan, Hongfei, editor 642957, Gao, Liping, editor 642958