We have worked in the following aspects related to Knowledge Graphs:
- Embedding, including entity embedding [CIKM 17], phrase embedding [IJCAI 18], and word embedding for semantic relation classification [AAAI 18]
- Named entity recognition, disambiguation and linking, including NER using a stacked model [PAKDD 18], and relative feature-based NERD
- Relation extraction and classification, including multi-triplet extraction [AAAI 18], and semantic role labelling
- Query answering, including deep reinforcement learning-based QA system for multi-hop question answering
- User interaction, including query result visualization [SIGIR 17] and natural language generation for query results [ACL 18]
