Results 111 to 120 of about 7,167 (213)
Indexing with WordNet synsets can improve Text Retrieval
The classical, vector space model for text retrieval is shown to give better results (up to 29% better in our experiments) if WordNet synsets are chosen as the indexing space, instead of word forms. This result is obtained for a manually disambiguated test collection (of queries and documents) derived from the Semcor semantic concordance.
Gonzalo, Julio +3 more
openaire +2 more sources
A Synset-Based Recommender Method for Mixed-Initiative Narrative World Creation
M. R. B. Pérez +2 more
semanticscholar +1 more source
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.
Mohammad Yusuf Hidayat +2 more
doaj +1 more source
Somewhere between Valency Frames and Synsets. Comparing Latin Vallex and Latin WordNet [PDF]
Marco Passarotti +2 more
openalex +1 more source
Ultrafast Image Categorization in Biology and Neural Models. [PDF]
Jérémie JN, Perrinet LU.
europepmc +1 more source
An analysis of word embedding spaces and regularities [PDF]
Word embeddings are widely use in several applications due to their ability to capture semantic relationships between words as relations between vectors in high dimensional spaces.
Gijón Agudo, Manuel
core +1 more source
Interlinking Valency Frames and WordNet Synsets in the LiLa Knowledge Base of Linguistic Resources for Latin [PDF]
Francesco Mambrini +3 more
openalex +1 more source
From Synsets to Videos: Enriching ItalWordNet Multimodally
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 +4 more
openaire +5 more sources
CONcreTEXT norms: Concreteness ratings for Italian and English words in context. [PDF]
Montefinese M +4 more
europepmc +1 more source

