Automatic Text Summarization (State of the art): Difference between revisions
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Created page with "== "Standard" measure: == == "Standard" datasets: == {{StateOfTheArtTable}} | SystemName || How does it work? || Author and Article [http://www.example.com] || Software? |..." |
Newsroom dataset |
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== "Standard" measure: == | == "Standard" measure: == | ||
== " | == Available summmarization datasets: == | ||
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! Dataset | |||
! Reference | |||
! Number of texts | |||
! Dataset Link | |||
! List of state-of-the-art results | |||
!Comments | |||
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| Newsroom | |||
| Grusky et al. (2018)<ref>[https://doi.org/10.18653/V1/N18-1065 Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies]</ref> | |||
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| https://summari.es/ | |||
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== "Standard" datasets: == | |||
{{StateOfTheArtTable}} | {{StateOfTheArtTable}} | ||
Revision as of 15:41, 2 December 2019
"Standard" measure:
Available summmarization datasets:
| Dataset | Reference | Number of texts | Dataset Link | List of state-of-the-art results | Comments |
|---|---|---|---|---|---|
| Newsroom | Grusky et al. (2018)[1] | https://summari.es/ |
"Standard" datasets:
| System Name | Short Description | Main Publications | Software (if available) | Results | Comments (i.e. extra resources used, train/test times, ...) |
|---|---|---|---|---|---|
| SystemName | How does it work? | Author and Article [1] | Software? | 98% according to... | Any extra comments? |