태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Identifying chronological and coherent sequences of documents or passages from multiple documents that capture the temporal relationships between documents and describe diverse information about a particular event, activity or discussion.
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
Multi-News, consists of news articles and human-written summaries of these articles from the site newser.com. Each summary is professionally written by editors and includes links to the original articles cited. Source: Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model Image Source: https://arxiv.org/pdf/1906.01749.pdf
The NewSHead dataset contains 369,940 English stories with 932,571 unique URLs, among which there are 359,940 stories for training, 5,000 for validation, and 5,000 for testing, respectively. Each news story contains at least three (and up to five) articles. The dataset is collected from news stories published between May 2018 and May 2019, where a proprietary clustering algorithm iteratively loads articles published in a time window and groups them based on content similarity. Up to five representative articles are picked from the cluster for generating the story headline. Curators from a crowd-sourcing platform are requested to provide a headline of up to 35 characters to describe the major information covered by the story. Source: NewSHead
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.