Results 11 to 20 of about 2,063 (193)
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes [PDF]
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015 We present \textit{AutoExtend}, a system to learn embeddings for synsets and lexemes. It is flexible in that it can take any word embeddings as input and does not need an additional training corpus. The synset/lexeme embeddings obtained live in the same vector space as the word embeddings.
Sascha Rothe, Hinrich Schütze
arxiv +7 more sources
Linking ImageNet WordNet Synsets with Wikidata [PDF]
arXiv, 2018 The linkage of ImageNet WordNet synsets to Wikidata items will leverage deep learning algorithm with access to a rich multilingual knowledge graph. Here I will describe our on-going efforts in linking the two resources and issues faced in matching the Wikidata and WordNet knowledge graphs.
Finn Årup Nielsen
arxiv +8 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
Watset: Automatic Induction of Synsets from a Graph of Synonyms [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 This paper presents a new graph-based approach that induces synsets using synonymy dictionaries and word embeddings. First, we build a weighted graph of synonyms extracted from commonly available resources, such as Wiktionary. Second, we apply word sense induction to deal with ambiguous words.
Dmitry Ustalov +2 more
arxiv +8 more sources
Improving Performance of NMT Using Semantic Concept of WordNet Synset
EasyChair Preprints, 2018 Neural machine translation (NMT) has shown promising progress in recent years. However, for reducing the computational complexity, NMT typically needs to limit its vocabulary scale to a fixed or relatively acceptable size, which leads to the problem of ...
Fangxu Liu +4 more
semanticscholar +5 more sources
Synset2Node: A new synset embedding based upon graph embeddings
Intelligent Systems with Applications, 2022 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 the underlying system to encode the semantic information between the elements.
Fatemeh Jafarinejad
semanticscholar +4 more sources
Improving the Precision of Synset Links Between Cornetto and Princeton WordNet [PDF]
Proceedings of Workshop on Lexical and Grammatical Resources for Language Processing, 2014 Knowledge-based multilingual language processing benefits from having access to correctly established relations between semantic lexicons, such as the links between different WordNets.
Leen Sevens +2 more
semanticscholar +5 more sources
Large-scale image annotation using visual synset
2011 International Conference on Computer Vision, 2011 We address the problem of large-scale annotation of web images. Our approach is based on the concept of visual synset, which is an organization of images which are visually-similar and semantically-related.
David Tsai +5 more
semanticscholar +5 more sources