Synset2Node: A new synset embedding based upon graph embeddings
Due to the advances made in recent years, embedding methods caused a significant increase in the accuracy of text or graph processing methods. Embedding methods exhibit a compact vector representation of the basic elements (words, synsets, nodes,..) of ...
Fatemeh Jafarinejad
exaly +4 more sources
Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets [PDF]
Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness.
Iñaki Vélez de Mendizabal +5 more
doaj +3 more sources
Synset geometry structure model
The goal of formalization, proposed in this paper, is to bring together, as near as possible, the theoretic linguistic problem of synonym conception and the computer linguistic methods based generally on empirical intuitive unjustified factors. Using the
Alexander Kirillov, Andrew Krizhanovsky
doaj +3 more sources
Fighting with the Sparsity of Synonymy Dictionaries for Automatic Synset Induction [PDF]
Graph-based synset induction methods, such as MaxMax and Watset, induce synsets by performing a global clustering of a synonymy graph. However, such methods are sensitive to the structure of the input synonymy graph: sparseness of the input dictionary can substantially reduce the quality of the extracted synsets. In this paper, we propose two different
Ustalov, Dmitry +3 more
openaire +4 more sources
The natural selection of words: Finding the features of fitness. [PDF]
We introduce a dataset for studying the evolution of words, constructed from WordNet and the Google Books Ngram Corpus. The dataset tracks the evolution of 4,000 synonym sets (synsets), containing 9,000 English words, from 1800 AD to 2000 AD.
Peter D Turney, Saif M Mohammad
doaj +2 more sources
Add-Remove-Confirm: Crowdsourcing synset cleansing
Thesaurus is a crucial resource for many natural language processing and artificial intelligence problems, which require common sense reasoning. It is becoming highly topical to put special effort to ensure the high quality of synsets when a thesaurus is created collaboratively by non-expert annotators.
Ustalov, Dmitry, Kiselev, Yuri
openaire +3 more sources
Sentiment Thesaurus, Synset and Word2Vec Based Improvement in Bigram Model for Classifying Product Reviews [PDF]
Poomagal S +4 more
exaly +2 more sources
From Human Child to Grey Parrot: Exploring a Common Model of Word Meaning Extension Across Species. [PDF]
Abstract Word meaning extension refers to the process by which a single word form develops multiple related meanings. Prior studies demonstrate that meaning extension at diverse timescales, from decades‐long historical change and to month‐long changes in child overextension, is accounted for by models grounded in conceptual relations across knowledge ...
Fishkin M, Chang S, Xu Y.
europepmc +2 more sources
Synset Boulevard: A Synthetic Image Dataset for VMMR*
91469153We present and discuss the Synset Boulevard dataset, designed for the task of surveillance-nature vehicle make and model recognition (VMMR) - to the best of our knowledge the first entirely synthetically generated large-scale VMMR image dataset ...
Anne Sielemann +4 more
openaire +4 more sources
Sentiment Analysis of Image with Text Caption using Deep Learning Techniques. [PDF]
People are actively expressing their views and opinions via the use of visual pictures and text captions on social media platforms, rather than just publishing them in plain text as a consequence of technical improvements in this field. With the advent of visual media such as images, videos, and GIFs, research on the subject of sentiment analysis has ...
Chaubey PK +7 more
europepmc +2 more sources

