# Siamese Networks for Semantic Pattern Similarity

Source: [Siamese Networks for Semantic Pattern Similarity](<https://www.sota2.com/research/paper/68fa652f1e209131cea08ad0>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T21:20:52.699Z

Authors: Yassine Benajiba, Jin Sun, Yong Zhang, Longquan Jiang, Zhiliang Weng, Or Biran

Published: 2018-12-17T03:52:11.000Z

## Abstract

Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract semantic pattern (e.g., preposition or frame). We utilize Siamese Networks to model this task, and show its usefulness in determining SQL patterns for unseen questions in a database-backed question answering scenario. Our approach achieves high accuracy and contains a built-in proxy for confidence, which can be used to keep precision arbitrarily high.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1812.06604>)

[PDF](<https://arxiv.org/pdf/1812.06604.pdf>)