A Mamba-based extractive summarizer with Poincare distance features posts mixed ROUGE results on a small Amazon split, but circular ROUGE-derived labels and unreported baselines undermine the claimed gains.
In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 5892 –5904, Online
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
State Space Models for Extractive Summarization in Low Resource Scenarios
A Mamba-based extractive summarizer with Poincare distance features posts mixed ROUGE results on a small Amazon split, but circular ROUGE-derived labels and unreported baselines undermine the claimed gains.