A Decade of Knowledge Graphs in Natural Language Processing

This post is based on our AACL-IJCNLP 2022 paper "A Decade of Knowledge Graphs in Natural Language Processing: A Survey". You can read more details there. Knowledge Graphs (KGs) have attracted a lot of attention in both academia and industry since the introduction of Google's KG in 2012 (Singhal, 2012). As a representation of semantic relations between entities, KGs have proven to be particularly relevant for natural language processing (NLP) and have experienced a rapid increase in popularity in recent years, a trend that appears to be accelerating . Given the increasing amount of research work in this area, several KG-related approaches have been surveyed in the NLP research community.