Results 71 to 80 of about 349 (155)
Detection and Typology of Psalmic Text Reuses in the New Testament
In the context of the BiblIndex project, which is an online index of biblical textual reuses by the Church Fathers, intrabiblical intertextuality must be considered to better understand the underlying basis of the Church Fathers’ thought.
Théotime de la Selle, Laurence Mellerin
doaj +1 more source
Mapping Persian Words to WordNet Synsets
Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre ...
Dehkharghani, Rahim +1 more
openaire +3 more sources
Descoberta de Synsets Difusos com base na Redundância em vários Dicionários
Numa wordnet, conceitos são representados através de grupos de palavras, vulgarmente chamados de synsets, e cada pertença de uma palavra a um synset representa um diferente sentido dessa mesma palavra.
Fábio Santos, Hugo Gonçalo Oliveira
doaj
Linking Pictographs to Synsets: Sclera2Cornetto.
Social inclusion of people with Intellectual and Developmental Disabilities can be promoted by offering them ways to independently use the internet. People with reading or writing disabilities can use pictographs instead of text. We present a resource in which we have linked a set of 5710 pictographs to lexical-semantic concepts in Cornetto, a Wordnet ...
Vandeghinste, Vincent, Schuurman, Ineke
openaire +2 more sources
Automatic Synset Extraction from text documents using a Graph-Based Clustering Approach
Semantic relations between words like synsets are used in automatic ontology production which is a strong tool in many NLP tasks. Synset extraction is usually dependent on other languages and resources using techniques such as mapping or translation. In
Mahsa Khorasani +2 more
doaj
Semantic-Enhanced News Clustering Using TF-IDF and WordNet with K-Means
Text clustering of news articles falls under unsupervised learning, where models operate on unlabeled data unless partially annotated. K-Means Clustering remains one of the most commonly applied algorithms due to its efficiency and simplicity. Likewise,
Mohammad Yusuf Hidayat +2 more
doaj +1 more source
Ultrafast Image Categorization in Biology and Neural Models. [PDF]
Jérémie JN, Perrinet LU.
europepmc +1 more source
CONcreTEXT norms: Concreteness ratings for Italian and English words in context. [PDF]
Montefinese M +4 more
europepmc +1 more source
PageRanking WordNet Synsets: an application to opinion mining
This paper presents an application of PageRank, a random-walk model originally devised for ranking Web search results, to ranking WordNet synsets in terms of how strongly they possess a given semantic property. The semantic properties we use for exemplifying the approach are positivity and negativity, two properties of central importance in sentiment ...
Esuli A, Sebastiani F
openaire +2 more sources
Python-assisted biological knowledge acquisition method to trigger design inspiration. [PDF]
Zha ZM, Zhang H, Aggidis GA.
europepmc +1 more source

