Results 71 to 80 of about 14,887 (240)
Persian Wordnet Construction using Supervised Learning
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.
Zahra Mousavi+2 more
doaj
3DText: Perceiving sentence-level text on 3-D model of emotions
Emotion is a psychological process which reveals the sentiments and feelings of a human being. Relating emotions detection process with psychological theory of emotions serves as the strong foundation for the system.
Shalu Choudhary, Shikha Jain
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ABSTRACT Just as the language used to express them, concepts constantly evolve, due to changing cultural norms, scientific progress, or major events that (re)shape our understanding of the world. For example, as humans increasingly contribute to disasters, e.g., by altering the landscape, the line between natural and anthropogenic disasters blurs. This
Meilin Shi+5 more
wiley +1 more source
Development of Punjabi WordNet [PDF]
Natural language processing (NLP) tasks such as word sense disambiguation, machine translation (MT) and part-of-speech tagging etc. require large scale lexical resources. These lexical resources have already been developed for digitally advanced languages, such as English, but yet to be developed for widely spoken but digitally young languages, such as
Parteek Kumar+2 more
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The semantic classification of adjectives in the Bulgarian Wordnet: Towards a multiclass approach
The semantic classification of adjectives in the Bulgarian Wordnet: Towards a multiclass approach The paper presents an attempt at semantic classification of adjectives in the Bulgarian wordnet.
Tsvetana Dimitrova, Valentina Stefanova
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This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi+3 more
wiley +1 more source
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
Word embeddings trained on natural corpora (e.g., newspaper collections, Wikipedia or the Web) excel in capturing thematic similarity (“topical relatedness”) on word pairs such as ‘coffee’ and ‘cup’ or ’bus’ and ‘road’.
Maldonado Alfredo+2 more
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ABSTRACT Data mining and natural language processing (NLP) are fundamental fields that interact in many ways. Text mining shares many topics, such as sentiment analysis and content understanding. Combining these two fields enables more efficient mining of text data and the extraction of valuable information.
Canan Koç+2 more
wiley +1 more source
Bootstrapping a Portuguese WordNet from Galician, Spanish and English Wordnets [PDF]
In this article we exploit the possibility on bootstrapping an European Portuguese WordNet from the English, Spanish and Galician wordnets using Probabilistic Translation Dictionaries automatically created from parallel corpora. The process generated a total of 56i¾?770 synsets and 97i¾?058 variants.
Simões, Alberto+1 more
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Merging DanNet with Princeton Wordnet
In this paper we describe the merge of the Danish wordnet, DanNet, with Princeton Wordnet applying a two-step approach. We first link from the English Princeton core to Danish (5,000 base concepts) and then proceed to link-ing the rest of the Danish vocabulary to English, thus going from Danish to English.
Pedersen, B. S.+3 more
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