2021 5th International Conference on Natural Language Processing and Information Retrieval
Sanya, China (Virtual) | December 17-20, 2021
2021 is the second year, in which the covid-19-pandemia influences all our life: again, NLPIR’2021 must be a virtual event, only to protect the health of all participants and to obey the travel restrictions imposed by most countries. In such situation, 2021 5th International Conference on Natural Language Processing and Information Retrieval(NLPIR 2021) has been held on December 17-20, 2021 in full virtual style.
As keynote speakers including Prof. Haizhou Li (IEEE Fellow), from the National University of Singapore, presented us the latest results on dialogue evaluation metrics, followed by a great talk of Prof. Wong Kam Fai (ACL Fellow), from The Chinese University of Hong Kong, China on Few-shot Learning at Sentence- and Token-level. Prof. Huajun Chen, from Zhejiang University, China, gave us a great introduction to recent developments of knowledge graphs. Last but not least. Dr. Mario Kubek, from the University of Hagen, Germany, showed us in his invited talk the advantages of a co-occurrence graph-based text mining using the Hagen-NLPtoolbox.
Three conference sessions were filled with the presentation of our participants: the topics have covered many areas from natural language analysis and processing, data analysis and information retrieval to language detection and sentiment analysis. The topics are related to timely issues of theory and application of the latest research results. Young authors presenting their first talk at a scientific conference participate in the sessions as well as experienced researchers; we hope that even in the virtual world some promising contacts and discussions could be initiated.
Best Presenter Awards
Presenter: Hei Yi Mak, The Chinese University of Hong Kong, China
Paper title: Low-Resource NMT: A Case Study on the Written and Spoken Languages in Hong Kong
Kumaran Kugathasan, University of Moratuwa, Sri Lanka
Paper Title: Retrieval-based End-to-End Tamil language Conversational Agent for Closed Domain using Machine Learning
Presenter: Naris Prombut, Silpakorn University, Thailand
Paper Title: Feature Extraction Technique Based on Conv1D and Conv2D Network for Thai Speech Emotion Recognition