ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms

03/29/2016
by   Enrico Santus, et al.
0

In this paper, we describe ROOT13, a supervised system for the classification of hypernyms, co-hyponyms and random words. The system relies on a Random Forest algorithm and 13 unsupervised corpus-based features. We evaluate it with a 10-fold cross validation on 9,600 pairs, equally distributed among the three classes and involving several Parts-Of-Speech (i.e. adjectives, nouns and verbs). When all the classes are present, ROOT13 achieves an F1 score of 88.3 against a baseline of 57.6 ROOT13 achieves the following results: hypernyms-co-hyponyms (93.4 hypernymsrandom (92.3 results are competitive with stateof-the-art models.

READ FULL TEXT

page 1

page 2

research
03/29/2016

Nine Features in a Random Forest to Learn Taxonomical Semantic Relations

ROOT9 is a supervised system for the classification of hypernyms, co-hyp...
research
09/01/2022

Exploring traditional machine learning for identification of pathological auscultations

Today, data collection has improved in various areas, and the medical do...
research
12/30/2020

Similarity Classification of Public Transit Stations

We study the following problem: given two public transit station identif...
research
10/13/2018

MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities

Urbanism is no longer planned on paper thanks to powerful models and 3D ...
research
05/01/2015

Grounded Discovery of Coordinate Term Relationships between Software Entities

We present an approach for the detection of coordinate-term relationship...
research
06/23/2020

MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognition

We introduce MANTRA, an annotated dataset of 4869 transient and 71207 no...
research
04/03/2020

Keyphrase Rubric Relationship Classification in Complex Assignments

Complex assignments are open-ended question with varying content irrespe...

Please sign up or login with your details

Forgot password? Click here to reset