Dec 14, 2016 � This paper focuses on adding an in- terpretable layer on top of Semantic Textual Similarity (STS), which measures the degree of semantic equivalence between�...
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Mar 1, 2017 � We address interpretability, the ability of machines to explain their reasoning. •. We formalize it for textual similarity as graded typed�...
The goal of the interpretable STS is to provide reasoning behind the assigned similarity scores by identifying the alignment between pairs of segments across�...
The goal of the interpretable STS is to provide reasoning behind the assigned similarity scores by identifying the alignment between pairs of segments across�...
Interpretable semantic textual similarity: Finding and explaining differences between sentences. Author: Lopez-Gazpio, I�igo; Maritxalar, Montserrat�...
Interpretable STS. Introduced by Lopez-Gazpio et al. in Interpretable Semantic Textual Similarity: Finding and explaining differences between sentences.
Dec 12, 2016 � We propose to add an interpretability layer (iSTS for short) formalized as the alignment between pairs of segments across the two sentences,�...
Interpretable Semantic Textual Similarity: Finding and explaining differences between sentences. I. Lopez-Gazpio, M. Maritxalar, A. Gonzalez-Agirre, G. Rigau�...
Jun 17, 2016 � The final goal of Interpretable Semantic Tex- tual Similarity (iSTS) is to build systems that explain which are the differences and com-.
Missing: Finding | Show results with:Finding
Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.
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