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PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
March 26, 2024, 4:51 a.m. | Qian Chen, Xiaofeng He, Hongzhao Li, Hongyu Yi
cs.CL updates on arXiv.org arxiv.org
Abstract: The black-box nature of deep learning models in NLP hinders their widespread application. The research focus has shifted to Hierarchical Attribution (HA) for its ability to model feature interactions. Recent works model non-contiguous combinations with a time-costly greedy search in Eculidean spaces, neglecting underlying linguistic information in feature representations. In this work, we introduce a novel method, namely Poincar\'e Explanation (PE), for modeling feature interactions using hyperbolic spaces in an $O(n^2logn)$ time complexity. Inspired by …
abstract application arxiv attribution box cs.ai cs.cl deep learning feature focus hierarchical interactions nature nlp research search spaces text type
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