Methods › Natural Language Processing › Paraphrase Generation Models › BTmPG

BTmPG

1 paper tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

BTmPG, or Back-Translation guided multi-round Paraphrase Generation, is a multi-round paraphrase generation method that leverages back-translation to guide paraphrase model during training and generates paraphrases in a multiround process. The model regards paraphrase generation as a monolingual translation task. Given a paraphrase pair (S₀, P), which S₀ is the original/source sentence and P is the target paraphrase given in the dataset. In the first round generation, we send S₀ into a paraphrase model to generate a paraphrase S₁. In the second round generation, we use the S₁ as the input of the model to generate a new paraphrase S₂. And so forth, in the i-th round generation, we send Sᵢ₋₁ into the paraphrase model to generate Sᵢ. .

Source: Pushing Paraphrase Away from Original Sentence: A...

Papers archive 2025-07-28

1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Diversity1
Paraphrase Generation1
Sentence1
Translation1

Usage over time archive 2025-07-28

Papers per year tagged with BTmPG: 2021 to 2021, peak 1 1 0 2021: 1 paper 2021
Papers per year the archive tags with this method, by the paper's archive date (1 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Paraphrase Generation Models

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