Dawei Song mainly focuses on Artificial intelligence, Information retrieval, Relevance, Language model and Natural language processing. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Quantum cognition and Pattern recognition. The Information retrieval study combines topics in areas such as Image, Data mining and Feature vector.
His studies in Relevance integrate themes in fields like Semantic computing, Context, Information needs and Semantic search. His study in the fields of Sentence under the domain of Natural language processing overlaps with other disciplines such as Information system, Track and Open university. His research in Sentence focuses on subjects like Set, which are connected to Query language and Query expansion.
Dawei Song mainly investigates Information retrieval, Artificial intelligence, Natural language processing, Relevance and Query expansion. His Information retrieval research is multidisciplinary, incorporating elements of Data mining and Personalization. His studies deal with areas such as Context, Machine learning and Pattern recognition as well as Artificial intelligence.
His Natural language processing study combines topics from a wide range of disciplines, such as Dependency and Inference. His Relevance research also works with subjects such as
His primary areas of investigation include Artificial intelligence, Natural language processing, Relevance, Information retrieval and Sentiment analysis. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Machine learning. His Natural language processing study combines topics in areas such as Context, Convolution, Representation, Hilbert space and SemEval.
His research in Relevance intersects with topics in Learning to rank, Theoretical computer science, Cognition, Construct and Session. His Information retrieval study integrates concerns from other disciplines, such as Feature and Dimension. His Sentiment analysis study also includes
The scientist’s investigation covers issues in Artificial intelligence, Natural language processing, Sentiment analysis, Representation and Sentence. He conducts interdisciplinary study in the fields of Artificial intelligence and Quantum probability through his works. His study in Sentiment analysis is interdisciplinary in nature, drawing from both Range and Conversation.
His work carried out in the field of Representation brings together such families of science as Language model and Word. His Word study deals with Theoretical computer science intersecting with Information needs, Session search and Word embedding. Dawei Song has included themes like Artificial neural network and Quantum in his Sentence study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Query expansion using term relationships in language models for information retrieval
Jing Bai;Dawei Song;Peter Bruza;Jian-Yun Nie.
conference on information and knowledge management (2005)
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning
R.Y.K. Lau;Dawei Song;Yuefeng Li;T.C.H. Cheung.
IEEE Transactions on Knowledge and Data Engineering (2009)
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks.
Chen Zhang;Qiuchi Li;Dawei Song.
empirical methods in natural language processing (2019)
Towards context sensitive information inference
D. Song;P. D. Bruza.
formal methods (2003)
Comparing dissimilarity measures for content-based image retrieval
Haiming Liu;Dawei Song;Stefan Rüger;Rui Hu.
asia information retrieval symposium (2008)
Exploring EEG Features in Cross-Subject Emotion Recognition
Xiang Li;Dawei Song;Peng Zhang;Yazhou Zhang.
Frontiers in Neuroscience (2018)
Advances in Information Retrieval Theory
Leif Azzopardi;Gabriella Kazai;Stephen Robertson;Stefan Rüger.
Lecture Notes in Computer Science (2009)
Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network
Xiang Li;Dawei Song;Peng Zhang;Guangliang Yu.
bioinformatics and biomedicine (2016)
Quantum-like non-separability of concept combinations, emergent associates and abduction
Peter D. Bruza;Kirsty Kitto;Brentyn J. Ramm;Laurianne Sitbon.
Logic Journal of The Igpl / Bulletin of The Igpl (2012)
Aboutness from a commonsense perspective
P. D. Bruza;D. W. Song;K. F. Wong.
Journal of the Association for Information Science and Technology (2000)
Profile was last updated on December 6th, 2021.
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