# ClaC: Semantic Relatedness of Words and Phrases

arXiv: https://arxiv.org/abs/1708.05801 · HTML: https://mlsanity.com/paper/1708.05801/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Aug 2017.

## Built on by (most cited first, 1 of 1)

- [Multilingual Evaluation of Semantic Textual Relatedness](https://mlsanity.com/paper/2404.09047/) (2024)

## Abstract (arXiv)

The measurement of phrasal semantic relatedness is an important metric for many natural language processing applications. In this paper, we present three approaches for measuring phrasal semantics, one based on a semantic network model, another on a distributional similarity model, and a hybrid between the two. Our hybrid approach achieved an F-measure of 77.4% on the task of evaluating the semantic similarity of words and compositional phrases.