Results 131 to 140 of about 353 (158)

From Synsets to Videos: Enriching ItalWordNet Multimodally

Proceedings of the Language Resources and Evaluation Conference, 2014
The paper describes the multimodal enrichment of ItalWordNet action verbs' entries by means of an automatic mapping with a conceptual ontology of action types instantiated by video scenes (ImagAct). The two resources present significative differences as well as interesting complementary features, such that a mapping of these two resources can lead to a
Bartolini R, Quochi V, De Felice I, Russo I, Monachini M   +4 more
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Crowdsourcing synset relations with Genus-Species-Match

2015 Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT), 2015
Enabling a domain-specific lexical resource is useful for improving the performance of a natural language processing system. However, such resources may be represented in the form of glossaries—terms provided with their sense definitions. Despite the problem of integrating such domain-specific glossaries into more sophisticated general purpose ...
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Building Synsets for Indonesian WordNet with Monolingual Lexical Resources

2010 International Conference on Asian Language Processing, 2010
This paper presents an approach to build synsets for Indonesian Word Net semi-automatically using monolingual lexical resources available freely in Bahasa Indonesia. Monolingual lexical resources refer to Kamus Besar Bahasa Indoensia or KBBI (monolingual dictionary of Bahasa Indonesia) and Tesaurus Bahasa Indonesia (Indonesian thesaurus).
Gunawan 0001, Andy Saputra
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Issues in the Creation of Synsets in Odia WordNet

2016
Since languages differ from each other, it is difficult to find equivalents for the words and expressions of one language in another. So creating an interlingual WordNet in Odia vis-a-vis Hindi has been a challenging task. While dealing with the equivalence problems in Odia, creation of new expressions dominates the synsets involving various kinds of ...
Panchanan Mohanty, Ramesh C. Malik, Bhimasena Bhol   +2 more
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Revisiting the ontologising of semantic relation arguments in wordnet synsets

Natural Language Engineering, 2015
AbstractOntologising is the task of associating terms, in text, with an ontological representation of their meaning, in an ontology. In this article, we revisit algorithms that have previously been used to ontologise the arguments of semantic relations in a relationless thesaurus, resulting in a wordnet. For increased flexibility, the algorithms do not
Hugo Gonçalo Oliveira, Paulo Gomes
openaire   +1 more source

Fuzzy Synsets, and Lexicon-Based Sentiment Analysis. [PDF]

, 2016
One of the widely used approaches to Sentiment Analysis (SA) is lexicon-based approach that depends on sentiment-annotated lexical resources (such as SentiWordNet (SWN)). A broad variety of such resources are Synsetbased Lexical Databases (SLDs) (e.g.
Sayyed Ali Hossayni, Mohammad R. Akbarzadeh T, Diego Reforgiato Recupero, Aldo Gangemi, Josep Lluís De La Rosa I. Esteva   +4 more
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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. Each visual synset represents a single prototypical visual concept, and has an associated set of weighted annotations. Linear SVM's are utilized to
James M Rehg, Yushi Jing
exaly   +2 more sources

Extraction of Verbal Synsets and Relations for FarsNet

Proceedings of the 9th Global Wordnet Conference, 2018
Fatemeh Khalghani, Mehrnoush Shamsfard
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Concept Space Synset Manager Tool

Proceedings of the Seventh Global Wordnet Conference, 2014
Apurva Nagvenkar, Neha Prabhugaonkar, Venkatesh Prabhu, Ramdas Karmali, Jyoti D. Pawar   +4 more
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Content-Based Recommender System Enriched with Wordnet Synsets

2015
Content-based recommender systems can overcome many problems related to collaborative filtering systems, such as the new-item issue. However, to make accurate recommendations, content-based recommenders require an adequate amount of content, and external knowledge sources are used to augment the content.
Haifa Alharthi, Diana Inkpen
openaire   +1 more source