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Knowledge Base Population

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
1
보존된 평가 기록
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Knowledge base population is the task of filling the incomplete elements of a given knowledge base by automatically processing a large corpus of text.

데이터셋

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

Perlex

Persian dataset for relation extraction, which is an expert-translated version of the "Semeval-2010-Task-8" dataset. Source: PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction

FarsBase-KBP

FarsBase-KBP contains 22015 sentences, in which the entities and relation types are linked to the FarsBase ontology. This gold dataset can be reused for benchmarking KBP systems in the Persian language. Source:

LM-KBC 2023

A diverse set of 21 relations, each covering a different set of subject-entities and a complete list of ground truth object-entities per subject-relation-pair. The total number of object-entities varies for a given subject-relation pair. This dataset can be used to evaluate knowledge extraction systems.

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.