# CogALex-V Shared Task: ROOT18

arXiv: https://arxiv.org/abs/1611.01101 · HTML: https://mlsanity.com/paper/1611.01101/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Nov 2016.

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

- [Using Distributional Principles for the Semantic Study of Contextual Language Models](https://mlsanity.com/paper/2111.12174/) (2021)

## Abstract (arXiv)

In this paper, we describe ROOT 18, a classifier using the scores of several unsupervised distributional measures as features to discriminate between semantically related and unrelated words, and then to classify the related pairs according to their semantic relation (i.e. synonymy, antonymy, hypernymy, part-whole meronymy). Our classifier participated in the CogALex-V Shared Task, showing a solid performance on the first subtask, but a poor performance on the second subtask. The low scores reported on the second subtask suggest that distributional measures are not sufficient to discriminate between multiple semantic relations at once.