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Table Type Detection

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하위 태스크: 0
평가표: 1
보존된 평가 기록: 1

Table Type Detection is the task of predicting the semantic type of a table and is a subtask of Table Annotation. The labels used for annotation in this task are types from vocabularies like DBpedia, Schema.org etc. like Music or Hotel. The semantic type of a table can indicate the content of a table. For example, if the semantic type of a table is Music it indicates that the table consists of music records/entities.

데이터셋

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T2Dv2

The T2Dv2 dataset consists of 779 tables originating from the English-language subset of the WebTables corpus. 237 tables are annotated for the Table Type Detection task, 236 for the Columns Property Annotation (CPA) task and 235 for the Row Annotation task. The annotations that are used are DBpedia types, properties and entities. A subset of this dataset was annotated by Chen et al. for the Column Type Annotation (CTA) task where they annotate 236 tables with DBpedia types. In the papers it was used the subset was divided into training and testing splits and the evaluation was done on the testing split T2D-Te. This subset is available for download at their official Github repository. Some characteristics for the different tasks are provided in the table below, where "Annotations" refers to the number of cells/rows/columns/tables annotated and "Classes" to the number of unique classes used for annotation. | | Annotations | Classes | |----------------|---------|---------| | Column Property Annotation | 670 | 119 | | Row Annotation | 26,106 | 13,975 | | Table Type | 237 | 41 | | Column Type Annotation | 411 | 37 |

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