Scene text recognition by Muhammad Afiq Osman

“…Scene text recognition problem has recently seen interest within the deep learning community. …”
Get full text

News article named entity recognition and analytics by Goh, Nicholas

Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

Text recognition from images mobile application by Phua, Melvin

Get full text

Deep structured output learning for unconstrained text recognition by Jaderberg, M, Simonyan, K, Vedaldi, A, Zisserman, A

“…The resulting model is a more accurate system on standard real-world text recognition benchmarks than character prediction alone, setting a benchmark for systems that have not been trained on a particular lexicon. …”

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. …”
Get full text
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”

Training deep network models for accurate recognition of texts in scenes by Chen, Cheng

“…Scene Text Recognition is an important task because of its many potential applications in the industries. …”
Get full text

Training deep network models for accurate recognition of texts in scene images by Chen, Pengfei

“…With applying deep learning in text recognition, the overall performance and accuracy improved greatly. …”
Get full text

Training deep network models for accurate recognition of texts in scene images by Zhang, Weilun

“…Images that contain text can be used as sources of information for automating processes. Text recognition from scene images constitutes still a very challenging task because of various backgrounds, variations in size and space, as well as irregular arrangements. …”
Get full text

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