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Exploring the (un)ambiguous guitar: A Qualitative Study on the use of Gesture Disambiguation in Augmented Instrument Design

New Interfaces for Musical Expression, 2023
Some of the performer’s gestures, despite corresponding to different physical interactions, might produce a similar sonic output. This is the case of upward and downward string bends on the guitar where stretching the string shifts the pitch upwards ...
A. L. B. Temprano   +2 more
semanticscholar   +1 more source

Modified Lesk approach for Word Sense Disambiguation in the Marathi Language

Conference Information and Communication Technology, 2023
The process of computationally determining the meaning of a word in a certain context is known as Word Sense Disambiguation (WSD). One of the most challenging tasks in Natural Language Processing is WSD.
Rasika Ransing   +2 more
semanticscholar   +1 more source

Improved Word Sense Disambiguation via Prompt-based Contextual Word Representation

IEEE International Joint Conference on Neural Network, 2023
Word sense disambiguation (WSD), which entails figuring out a target word's meaning based on its context, has become an increasingly significant task. However, none of them has been able to achieve an F1-score higher than 85% since Wordnet is used as the
Qipeng He, Jian Zhang, Xueting Huang
semanticscholar   +1 more source

Jaccard coefficient-based word sense disambiguation using hybrid knowledge resources [PDF]

open access: possible2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE), 2015
Word Sense Disambiguation (WSD) has become a popular method for solving the ambiguous meaning of the words in Information Retrieval (IR) field area. Under the Natural Language Processing (NLP) community, WSD has been described as the task which able to select the appropriate meaning among the ambiguous meanings to a given word.
Su Mu Tyar, Thanda Win
openaire   +1 more source

On the Quality of Lexical Resources for Word Sense Disambiguation

2004
Word Sense Disambiguation (WSD) systems are usually evaluated by comparing their absolute performance, in a fixed experimental setting, to other alternative algorithms and methods. However, little attention has been paid to analyze the lexical resources and the corpora defining the experimental settings and their possible interactions with the overall ...
Mariona Taulé   +4 more
openaire   +2 more sources

Disambiguating Information and Memory Resources in Children’s Processing of Italian Relative Clauses

Journal of Psycholinguistic Research, 2010
We investigated the role of number agreement on verb and of animacy in the comprehension of subject and object relative clauses in 51 monolingual Italian-speaking children, mean age 9:33, tested through a self-paced listening experiment with a final comprehension question.
AROSIO, FABRIZIO   +2 more
openaire   +4 more sources

Sentence Boundary Disambiguation for Tibetan Based on Attention Mechanism at the Syllable Level

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Tibetan is a low-resource language with few existing electronic reference materials. The goal of Tibetan sentence boundary disambiguation (SBD) is to segment long text into sentences, and it is the foundation for downstream tasks corpora building.
Fenfang Li   +4 more
semanticscholar   +1 more source

USPTO PatentsView: A Disambiguated Resource for Policy Research

2017
“USPTO PatentsView: A Disambiguated Resource for Policy Research” presented by Evgeny Klochikhin (AIR) at the Identifiers and Intellectual Property Workshop co-hosted by Crossref, the OECD, and ORCID at the OECD in Paris, France on 22 June 2017.
openaire   +2 more sources

Searching Semantic Resources for Complex Selectional Restrictions to Support Verb Sense Disambiguation [PDF]

open access: possible, 2010
Abstract : Natural language processing systems are increasingly integrating lexicons with ontologies for word sense disambiguation (WSD). Manually acquiring a lexicon that is integrated with a large ontology and other semantic resources can be difficult and inefficient in part due to the complexity of ontologies and inconsistency of entity extractors ...
Ethan Cooper   +4 more
openaire   +1 more source

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