Overview and Results: CL-SciSumm Shared Task 2019
The CL-SciSumm Shared Task is the first medium-scale shared task on scientific document summarization in the computational linguistics~(CL) domain. In 2019, it comprised three tasks: (1A) identifying relationships between citing documents and the referred document, (1B) classifying the discourse fac...
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Zusammenfassung: | The CL-SciSumm Shared Task is the first medium-scale shared task on
scientific document summarization in the computational linguistics~(CL) domain.
In 2019, it comprised three tasks: (1A) identifying relationships between
citing documents and the referred document, (1B) classifying the discourse
facets, and (2) generating the abstractive summary. The dataset comprised 40
annotated sets of citing and reference papers of the CL-SciSumm 2018 corpus and
1000 more from the SciSummNet dataset. All papers are from the open access
research papers in the CL domain. This overview describes the participation and
the official results of the CL-SciSumm 2019 Shared Task, organized as a part of
the 42nd Annual Conference of the Special Interest Group in Information
Retrieval (SIGIR), held in Paris, France in July 2019. We compare the
participating systems in terms of two evaluation metrics and discuss the use of
ROUGE as an evaluation metric. The annotated dataset used for this shared task
and the scripts used for evaluation can be accessed and used by the community
at: https://github.com/WING-NUS/scisumm-corpus. |
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DOI: | 10.48550/arxiv.1907.09854 |