Soft Cardinality: A Parameterized Similarity Function for Text Comparison

By Sergio Jiménez, Claudia Jeanneth Becerra, Alexander Gelbukh. 2012

61 citations recorded by the source corpus.

Subfields: Natural Language Processing

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In Natural Language Processing

1. Yinfei Yang
2. Daniel Matthew Cer
3. Noah Constant
4. Brian Strope
5. Iryna Gurevych
6. R. Kurzweil
7. Yun-Hsuan Sung
8. Nils Reimers

Citations in the corpus

• Learning Semantic Textual Similarity from Conversations (2018, methodology): “Early methods focused on lexical semantics, surface form matching and basic syntactic similarity (Bär et al., 2012; Jimenez et al., 2012).”
• UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment (2014, methodology): “This approach has been used since SemEval-2012 in all versions of the following tasks: semantic textual similarity (Jimenez et al., 2012b; Jimenez et al., 2013a), typed similarity (Croce et al., 2013), cross-lingual textual entailment (Jimenez et al., 2012a; Jimenez et al., 2013c), student response…”
• FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach (2017, methodology): “…details in subsection 3.2), and 2) sim SC : the surface-based similarity function proposed by Jimenez et al. (2012) (2) The approach presented in (Jimenez et al., 2012) represents sentence words as sets of q-grams and measures semantic similarity based on soft cardinality computed from sentence…”