Results 1 to 10 of about 32,811 (257)
Conceptual Analysis of Lexical Taxonomies: The Case of WordNet Top-Level [PDF]
arXiv, 2001 In this paper we propose an analysis and an upgrade of WordNet's top-level synset taxonomy. We briefly review WordNet and identify its main semantic limitations. Some principles from a forthcoming OntoClean methodology are applied to the ontological analysis of WordNet.
Aldo Gangemi +2 more
arxiv +3 more sources
Persian Wordnet Construction using Supervised Learning [PDF]
arXiv, 2017 This paper presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and Princeton WordNet synsets have been generated. These links will be discriminated later as correct or incorrect by employing seven features in a trained classification system.
Zahra Mousavi +2 more
arxiv +2 more sources
Automatically constructing Wordnet synsets [PDF]
Proceedings of the 52nd Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers), pp. 106-111. 2014, 2022 Manually constructing a Wordnet is a difficult task, needing years of experts' time. As a first step to automatically construct full Wordnets, we propose approaches to generate Wordnet synsets for languages both resource-rich and resource-poor, using publicly available Wordnets, a machine translator and/or a single bilingual dictionary.
Khang Nhut Lam +2 more
arxiv +5 more sources
Automatic Construction of Persian ICT WordNet using Princeton WordNet [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical
A. Ahmadi Tameh +2 more
doaj +2 more sources
Aproximación al trasvase automático de predicados de FrameNet al español mediante WordNet
Revista de Lingüística y Lenguas Aplicadas, 2021 Dentro del procesamiento del lenguaje, los recursos lingüísticos son descripciones estructuradas y detalladas de una determinada lengua, esenciales a la hora de estudiar el lenguaje y crear aplicaciones.
Mario Crespo Miguel
doaj +1 more source
Lexikos, 2020 Transcending the boundaries of printed lexicographic resources is becoming easier in the digital age, with e-resources facilitating restrictions on the size and type of information that can be included.
Sonja E. Bosch, Marissa Griesel
doaj +1 more source
An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia
IEEE Access, 2020 The measurement of semantic similarity between concepts is an important research topic in natural language processing. In the past, several approaches for measuring the semantic similarity between concepts have been proposed based on WordNet or Wikipedia.
Fei Li +5 more
doaj +1 more source
Towards new information resources for public health: From WordNet to MedicalWordNet [PDF]
, 2006 In the last two decades, WORDNET has evolved as the most comprehensive computational lexicon of general English. In this article, we discuss its potential for supporting the creation of an entirely new kind of information resource for public health, viz.
Fellbaum, Christane +2 more
core +1 more source
Strategies for building wordnets for under-resourced languages: The case of African languages
Literator, 2017 The African Wordnet Project (AWN) aims at building wordnets for five African languages: Setswana, isiXhosa, isiZulu, Sesotho sa Leboa (also referred to as Sepedi or Northern Sotho) and Tshivenda.
Sonja E. Bosch, Marissa Griesel
doaj +1 more source
Model WordNet Bahasa Indonesia berbasis Linked Data
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2017 WordNet is an online lexical database. In Computer Science domain, it plays important role in solving semantic interoperability issues. It also helps in many researches related to Natural Language Processing topic.
Hendrik, Andhik Budi Cahyono
doaj +1 more source