Summary Explorer is a tool to visually explore the state-of-the-art in text summarization.

Overview

Summary Explorer

Summary Explorer is a tool to visually inspect the summaries from several state-of-the-art neural summarization models across multiple datasets. It provides a guided assessment of summary quality dimensions such as coverage, faithfulness and position bias. You can inspect summaries from a single model or compare multiple models.

The tool currently hosts the outputs of 55 summarization models across three datasets: CNN DailyMail, XSum, and Webis TL;DR.

To integrate your model in Summary Explorer, please prepare your summaries as described here and contact us.

Use cases

1. View Content Coverage of the Summaries Content Coverage

2. Inspect Hallucinations Hallucinations

3. View Named Entity Coverage of the Summaries Named Entity Coverage

4. Inspect Faithfulness via Relation Alignment Relation Coverage

5. Compare Agreement among Summaries Summary Agreement

6. View Position Bias of a Model Position Bias

Local Deployment

Download the database dump from here and set up the tool as instructed here. The text processing pipeline and sample data can be found here.

Note: The tool is in active development and we plan to add new features. Please feel free to report any issues and provide suggestions.

Citation

@misc{syed2021summary,
      title={Summary Explorer: Visualizing the State of the Art in Text Summarization}, 
      author={Shahbaz Syed and Tariq Yousef and Khalid Al-Khatib and Stefan Jänicke and Martin Potthast},
      year={2021},
      eprint={2108.01879},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Acknowledgements

We sincerely thank all the authors who made their code and model outputs publicly available, meta evaluations of Fabbri et al., 2020 and Bhandari et al., 2020, and the summarization leaderboard at NLP-Progress.

We hope this encourages more authors to share their models and summaries to help track the qualitative progress in text summarization research.

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  • Bump loader-utils from 1.4.0 to 1.4.1 in /ui/frontend

    Bump loader-utils from 1.4.0 to 1.4.1 in /ui/frontend

    Bumps loader-utils from 1.4.0 to 1.4.1.

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    v1.4.1

    1.4.1 (2022-11-07)

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  • Bump follow-redirects from 1.13.0 to 1.14.7 in /ui/frontend

    Bump follow-redirects from 1.13.0 to 1.14.7 in /ui/frontend

    Bumps follow-redirects from 1.13.0 to 1.14.7.

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  • Bump django from 3.0.6 to 3.1.12 in /ui

    Bump django from 3.0.6 to 3.1.12 in /ui

    Bumps django from 3.0.6 to 3.1.12.

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    • 625d3c1 [3.1.x] Bumped version for 3.1.12 release.
    • 203d4ab [3.1.x] Fixed CVE-2021-33571 -- Prevented leading zeros in IPv4 addresses.
    • 20c67a0 [3.1.x] Fixed CVE-2021-33203 -- Fixed potential path-traversal via admindocs'...
    • aa8781c [3.1.x] Confirmed release date for Django 3.1.12, and 2.2.24.
    • a4eb07a [3.1.x] Fixed typo in MiddlewareMixin deprecation note.
    • c7fdc79 [3.1.x] Added stub release notes and date for Django 3.1.12 and 2.2.24.
    • 024e969 [3.1.x] Changed IRC references to Libera.Chat.
    • c53a76b [3.1.x] Post-release version bump.
    • 6efdf1b [3.1.x] Bumped version for 3.1.11 release.
    • b7d4a6f [3.1.x] Fixed #32718 -- Relaxed file name validation in FileField.
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  • Bump djangorestframework from 3.11.0 to 3.11.2 in /ui

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  • Bump follow-redirects from 1.13.0 to 1.14.8 in /ui/frontend

    Bump follow-redirects from 1.13.0 to 1.14.8 in /ui/frontend

    Bumps follow-redirects from 1.13.0 to 1.14.8.

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  • Bump decode-uri-component from 0.2.0 to 0.2.2 in /ui/frontend

    Bump decode-uri-component from 0.2.0 to 0.2.2 in /ui/frontend

    Bumps decode-uri-component from 0.2.0 to 0.2.2.

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    v0.2.2

    • Prevent overwriting previously decoded tokens 980e0bf

    https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.1...v0.2.2

    v0.2.1

    • Switch to GitHub workflows 76abc93
    • Fix issue where decode throws - fixes #6 746ca5d
    • Update license (#1) 486d7e2
    • Tidelift tasks a650457
    • Meta tweaks 66e1c28

    https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.0...v0.2.1

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  • Bump loader-utils from 1.4.0 to 1.4.2 in /ui/frontend

    Bump loader-utils from 1.4.0 to 1.4.2 in /ui/frontend

    Bumps loader-utils from 1.4.0 to 1.4.2.

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    v1.4.2

    1.4.2 (2022-11-11)

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    v1.4.1

    1.4.1 (2022-11-07)

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    1.4.2 (2022-11-11)

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    1.4.1 (2022-11-07)

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  • Bump minimatch from 3.0.4 to 3.1.2 in /ui/frontend

    Bump minimatch from 3.0.4 to 3.1.2 in /ui/frontend

    Bumps minimatch from 3.0.4 to 3.1.2.

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  • Bump terser from 4.8.0 to 4.8.1 in /ui/frontend

    Bump terser from 4.8.0 to 4.8.1 in /ui/frontend

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    v4.8.1 (backport)

    • Security fix for RegExps that should not be evaluated (regexp DDOS)
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  • Bump numpy from 1.19.5 to 1.22.0 in /ui

    Bump numpy from 1.19.5 to 1.22.0 in /ui

    Bumps numpy from 1.19.5 to 1.22.0.

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    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

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    opened by dependabot[bot] 0
  • Bump lodash from 4.17.20 to 4.17.21 in /ui/frontend

    Bump lodash from 4.17.20 to 4.17.21 in /ui/frontend

    Bumps lodash from 4.17.20 to 4.17.21.

    Commits
    • f299b52 Bump to v4.17.21
    • c4847eb Improve performance of toNumber, trim and trimEnd on large input strings
    • 3469357 Prevent command injection through _.template's variable option
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