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Cell Entity Annotation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
5
보존된 평가 기록
17

Cell Entity Annotation (CEA) is the task of annotating cells in a table with an entity from a knowledge base and is a subtask of Table Annotation. CEA problem labels are entities from knowledge bases such as DBpedia or WikiData. It usually is considered as a multi-class classification problem.

CEA can also be referred to in different works as the problem of entity linking, as it links a cell in a table to an entity.

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

Tough Tables

The ToughTables (2T) dataset was created for the SemTab challenge and includes 180 tables in total. The tables in this dataset can be categorized in two groups: the control (CTRL) group tables and tough (TOUGH) group tables. The CTRL group contains 60 tables generated by querying the DBpedia SPARQL endpoint and tables collected from Wikipedia and their characteristic is that they are easy to annotate. The TOUGH group contains 120 tables mainly scraped from the web, some containing misspelled words and nicknames/homonyms and their characteristic is that they are hard to annotate. In both groups some tables were generated by the authors where they added noise to the collected tables. The dataset was annotated for two tasks using DBpedia (DBP) types and entities and WikiData (WD): Column Type Annotation (CTA) and Cell Entity Annotation (CEA). In the table below the number of columns annotated for the CTA and number of cells annotated for the CEA task as well as the number of classes used are listed. | | Annotations| Classes | |-----|---------|---------| | DBP-Column Type Annotation | 540 | 39 | | DBP-Cell Entity Annotation | 663,656 | 16,023 | | WD-Column Type Annotation| 540 | 276 | | WD-Cell Entity Annotation | 667,244 | 24,653 |

BiodivTab

The BioDiv dataset includes manually labeled tables for CTA and CEA from the biodiversity domain.

WikiTables-TURL

The WikiTables-TURL dataset was constructed by the authors of TURL and is based on the WikiTable corpus, which is a large collection of Wikipedia tables. The dataset consists of 580,171 tables divided into fixed training, validation and testing splits. Additionally, the dataset contains metadata about each table, such as the table name, table caption and column headers. 406,706 of these tables are annotated for the Column Type Annotation (CTA) task, 55,970 tables for the Columns Property Annotation (CPA) task and 200,744 tables for the Cell Entity Annotation (CEA) task. As classes for the CTA and CPA, Freebase's types and relations were used, whereas for the CEA task entities from Freebase were used. The table below lists the total annotated columns (or cells in the case of CEA) for each split and for each task as well as the number of classes used for annotation. | | Training | Validation | Testing | Classes | |-----|--------|----------|-------|-------| | CTA | 628,254 |13,391| 13,025 | 255 | | CPA | 62,954| 2,175 | 2,072 | 121 | | CEA | 1,264,217 | 76,720 | 225,777 | 1,787,737 | The authors have made the dataset and its variants publicly available for download.

WikipediaGS

The WikipediaGS dataset was created by extracting Wikipedia tables from Wikipedia pages. It consists of 485,096 tables which were annotated with DBpedia entities for the Cell Entity Annotation (CEA) task. Additionally, a subset of these tables was annotated by Chen et al. for the Column Type Annotation (CTA) task and includes 604 tables, where selected columns were annotated using DBpedia types. This subset is available for download at their official Github repository. The table below shows the number of annotated cells/columns for each task and the number of different classes used for the annotation. | | Annotations | Classes | |-----|-------------|-----------| | CEA | 4,453,329 | 1,222,358 | | CTA | 620 | 31 |

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