Results 11 to 20 of about 6,823 (202)
Improving Performance of NMT Using Semantic Concept of WordNet Synset
Neural machine translation (NMT) has shown promising progress in recent years. However, for reducing the computational complexity, NMT typically needs to limit its vocabulary scale to a fixed or relatively acceptable size, which leads to the problem of ...
Fangxu Liu+4 more
semanticscholar +5 more sources
Synset2Node: A new synset embedding based upon graph embeddings
Due to the advances made in recent years, embedding methods caused a significant increase in the accuracy of text or graph processing methods. Embedding methods exhibit a compact vector representation of the basic elements (words, synsets, nodes,..) of the underlying system to encode the semantic information between the elements.
Fatemeh Jafarinejad
semanticscholar +4 more sources
Building layered, multilingual sentiment lexicons at synset and lemma levels [PDF]
Many tasks related to sentiment analysis rely on sentiment lexicons, lexical resources containing information about the emotional implications of words (e.g., sentiment orientation of words, positive or negative). In this work, we present an automatic method for building lemma-level sentiment lexicons, which has been applied to obtain lexicons for ...
Fermín L. Cruz+3 more
semanticscholar +5 more sources
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.
Chugur, Irina+3 more
core +7 more sources
Large-scale image annotation using visual synset
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
David Tsai+5 more
semanticscholar +5 more sources
Data-driven synset induction and disambiguation for wordnet development [PDF]
Automatic methods for wordnet development in languages other than English generally exploit information found in Princeton WordNet (PWN) and translations extracted from parallel corpora. A common approach consists in preserving the structure of PWN and transferring its content in new languages using alignments, possibly combined with information ...
Marianna Apidianaki, Benoît Sagot
semanticscholar +5 more sources
When conset meets synset [PDF]
This paper describes an on-going project concerning with an ontological lexical resource based on the abundant conceptual information grounded on Chinese characters.
Shu‐Kai Hsieh, Chu‐Ren Huang
openalex +2 more sources
Improving the Precision of Synset Links Between Cornetto and Princeton WordNet [PDF]
Knowledge-based multilingual language processing benefits from having access to correctly established relations between semantic lexicons, such as the links between different WordNets.
Leen Sevens+2 more
openalex +2 more sources
A Synset-Based Recommender Method for Mixed-Initiative Narrative World Creation
Mijael Ricardo Bueno Perez+2 more
openalex +3 more sources
Linking ImageNet WordNet Synsets with Wikidata [PDF]
6 pages, Wiki Workshop ...
Finn Årup Nielsen
+7 more sources