Papers › Global Encoding for Abstractive Summarization

Global Encoding for Abstractive Summarization

10 May 2018ACL 2018 7arXiv:1805.03989archive 2025-07-28

Junyang Lin, Xu sun, Shuming Ma, Qi Su

In neural abstractive summarization, the conventional sequence-to-sequence (seq2seq) model often suffers from repetition and semantic irrelevance. To tackle the problem, we propose a global encoding framework, which controls the information flow from the encoder to the decoder based on the global information of the source context. It consists of a convolutional gated unit to perform global encoding to improve the representations of the source-side information. Evaluations on the LCSTS and the English Gigaword both demonstrate that our model outperforms the baseline models, and the analysis shows that our model is capable of reducing repetition.

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lancopku/Global-Encoding officialmentioned in papermentioned on GitHubpytorchMIT report
jiahuanluo/Gated-attention_sum mentioned on GitHubpytorch report
wuhao050698/Abstractive-Summarization mentioned on GitHubpytorchMIT report

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PythonROUGE lancopku/Global-Encoding/script/PythonROUGE.py official repository unverified MIT (permissive) · a09e7b82de08cd8c · report
bleu lancopku/Global-Encoding/utils/metrics.py official repository unverified MIT (permissive) · 6333d7dad419ba0a · report
padding lancopku/Global-Encoding/utils/data_helper.py official repository unverified MIT (permissive) · 182dd725054b34be · report
splitDataset lancopku/Global-Encoding/utils/data_helper.py official repository unverified MIT (permissive) · 8c281d52b0541f8c · report
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PythonROUGE wuhao050698/Abstractive-Summarization/script/PythonROUGE.py community (archive-listed) unverified MIT (permissive) · 0dbff20f77645325 · report
load_dict_from_file wuhao050698/Abstractive-Summarization/server.py community (archive-listed) unverified MIT (permissive) · 7950493f7d9cd9ef · report

Tasks

Abstractive Text SummarizationDecoder

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Text Summarization GigaWord CGU ROUGE-1 36.3 #31 of 41 Archive leaderboard report
Text Summarization GigaWord CGU ROUGE-2 18.0 #31 of 41 Archive leaderboard report
Text Summarization GigaWord CGU ROUGE-L 33.8 #31 of 41 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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