Knowledge Graphs and NLP

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]
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Wei Wang
Professor