Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets [PDF]
PeerJ Computer Science, 2023 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 +8 more sources
Sentiment Thesaurus, Synset and Word2Vec Based Improvement in Bigram Model for Classifying Product Reviews. [PDF]
SN Comput Sci, 2022 Classifying product reviews is one of the tasks in Natural Language Processing by which the sentiment of the reviewer towards a product can be identified.
Poomagal S +4 more
europepmc +4 more sources
Synset geometry structure model
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2016 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 +4 more sources
Multi-Modal Word Synset Induction [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 A word in natural language can be polysemous, having multiple meanings, as well as synonymous, meaning the same thing as other words. Word sense induction attempts to find the senses of polysemous words.
Jesse Thomason, Raymond J. Mooney
semanticscholar +4 more sources
Handling Synset Overgeneration: Sense Merging in BTB-WN
Proceedings of the Student Research Workshop Associated with RANLP 2021, 2021 The paper reports on an effort to reconsider the representation of some cases of derivational paradigm patterns in Bulgarian. The new treatment implemented within BulTreeBank-WordNet (BTB-WN), a wordnet for Bulgarian, is the grouping together of related ...
Zara Kancheva, Ivaylo Radev
semanticscholar +4 more sources
Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings [PDF]
SEALP, 2023 Wordnets are indispensable tools for various natural language processing applications. Unfortunately, wordnets get outdated, and producing or updating wordnets can be slow and costly in terms of time and resources.
Dan John Velasco +7 more
openalex +3 more sources
Fighting with the Sparsity of Synonymy Dictionaries [PDF]
International Joint Conference on the Analysis of Images, Social Networks and Texts, 2017 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 ...
A Panchenko +8 more
core +3 more sources
A Synset Relation-enhanced Framework with a Try-again Mechanism for Word Sense Disambiguation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Contextual embeddings are proved to be overwhelmingly effective to the task of Word Sense Disambiguation (WSD) compared with other sense representation techniques. However, these embeddings fail to embed sense knowledge in semantic networks.
Ming Wang, Yinglin Wang
openalex +2 more sources
Toward General Scene Graph: Integration of Visual Semantic Knowledge with Entity Synset Alignment [PDF]
ALVR, 2020 Scene graph is a graph representation that explicitly represents high-level semantic knowledge of an image such as objects, attributes of objects and relationships between objects.
Woo Suk Choi +3 more
openalex +2 more sources
The natural selection of words: Finding the features of fitness. [PDF]
PLoS ONE, 2019 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