Table Type Detection

Table Type Detection is a subtask in natural language processing that aims to predict the semantic type of tables. This task involves annotating tables with labels from vocabularies such as DBpedia and Schema.org to indicate the thematic category of the table content. Accurately identifying the type of a table helps improve the efficiency of data understanding and processing, enhancing the effectiveness of information retrieval and knowledge graph construction.