Quan Liu, MSc
Quan Liu, MSc
is completing his Ph.D. at the
University of Science and Technology of China.
His research focus is on
machine learning for natural language processing.
His papers include
Probabilistic Reasoning via Deep Learning: Neural Association Models,
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification,
Part-of-Speech Relevance Weights for Learning Word Embeddings,
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints,
and
Integrate Document Ranking Information into Confidence Measure Calculation for Spoken Term Detection.
Research works
- Commonsense Reasoning via Deep Learning
Research in commonsense reasoning, automatic knowledge base constructions, etc. - Coreference Resolution
Coreference resolution with world and commonsense knowledge. - Embedding Techniques for NLPs
Represent natural language using neural network methods. - Spoken Term Detection Keyword searching in audio speech databases.
- Document Classification
Research in spoken topic classification.