DataFunTalk
Apr 6, 2021 · Artificial Intelligence
Advances in Text Summarization: Pointer-Generator, Coverage Mechanisms, Entity Knowledge Integration, and Non-Autoregressive Models
This article reviews recent advances in abstractive summarization, covering pointer‑generator networks with coverage loss, integration of entity knowledge, strategies to mitigate repetition such as unlikelihood training and nucleus sampling, and emerging non‑autoregressive approaches like the Levenshtein Transformer.
CoverageNLPentity-knowledge
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