RIMAX: Ranking Semantic Rhymes by calculating Definition Similarity

12/19/2019
by   Alfonso Medina-Urrea, et al.
0

This paper presents RIMAX, a new system for detecting semantic rhymes, using a Comprehensive Mexican Spanish Dictionary (DEM) and its Rhyming Dictionary (REM). We use the Vector Space Model to calculate the similarity of the definition of a query with the definitions corresponding to the assonant and consonant rhymes of the query. The preliminary results using a manual evaluation are very encouraging.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/27/2018

Improving Word Vector with Prior Knowledge in Semantic Dictionary

Using low dimensional vector space to represent words has been very effe...
research
06/20/2018

Categorization of Semantic Roles for Dictionary Definitions

Understanding the semantic relationships between terms is a fundamental ...
research
04/22/2018

A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search

State of the art approaches for (embedding based) unsupervised semantic ...
research
05/09/2022

A Unified Model for Reverse Dictionary and Definition Modelling

We train a dual-way neural dictionary to guess words from definitions (r...
research
03/20/2019

Indexes in Microsoft SQL Server

Indexes are the best apposite choice for quickly retrieving the records....
research
11/10/2016

Tracing metaphors in time through self-distance in vector spaces

From a diachronic corpus of Italian, we build consecutive vector spaces ...
research
05/12/2018

Weight Initialization in Neural Language Models

Semantic Similarity is an important application which finds its use in m...

Please sign up or login with your details

Forgot password? Click here to reset