Results 1 to 10 of about 1,778,399 (170)

Contrastive Learning for Morphological Disambiguation Using Large Language Models in Low-Resource Settings

open access: goldApplied Sciences
In this paper, a contrastive learning approach for morphological disambiguation (MD) using large language models (LLMs) is presented. A contrastive loss function is introduced for training the approach, which reduces the distance between the correct ...
Gulmira Tolegen   +2 more
doaj   +4 more sources

Hybrid Transformer-Based Large Language Models for Word Sense Disambiguation in the Low-Resource Sesotho sa Leboa Language [PDF]

open access: goldApplied Sciences
This study addresses a lexical ambiguity issue in Sesotho sa Leboa that arises from terms with various meanings, often known as homonyms or polysemous words.
Hlaudi Daniel Masethe   +4 more
doaj   +4 more sources

Word Sense Disambiguation for Morphologically Rich Low-Resourced Languages: A Systematic Literature Review and Meta-Analysis

open access: goldInformation
In natural language processing, word sense disambiguation (WSD) continues to be a major difficulty, especially for low-resource languages where linguistic variation and a lack of data make model training and evaluation more difficult.
Hlaudi Daniel Masethe   +4 more
doaj   +4 more sources

Minimalist Entity Disambiguation for Mid-Resource Languages [PDF]

open access: hybridProceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), 2023
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Benno Kruit
semanticscholar   +4 more sources

Exploiting a lexical resource for discourse connective disambiguation in German [PDF]

open access: hybridProceedings of the 28th International Conference on Computational Linguistics, 2020
In this paper we focus on connective identification and sense classification for explicit discourse relations in German, as two individual sub-tasks of the overarching Shallow Discourse Parsing task.
Peter Bourgonje, Manfred Stede
semanticscholar   +4 more sources

Unsupervised Named Entity Disambiguation for Low Resource Domains [PDF]

open access: greenProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
In the ever-evolving landscape of natural language processing and information retrieval, the need for robust and domain-specific entity linking algorithms has become increasingly apparent.
D. V. Datta, Soumajit Pramanik
semanticscholar   +5 more sources

Data sets for author name disambiguation: an empirical analysis and a new resource [PDF]

open access: hybridScientometrics, 2017
Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research.
Mark-Christoph Müller   +2 more
semanticscholar   +6 more sources

Word Sense Disambiguation in Native Spanish: A Comprehensive Lexical Evaluation Resource [PDF]

open access: greenarXiv.org
Human language, while aimed at conveying meaning, inherently carries ambiguity. It poses challenges for speech and language processing, but also serves crucial communicative functions.
Pablo Ortega   +4 more
semanticscholar   +4 more sources

A Literature Survey on Word Sense Disambiguation for the Hindi Language

open access: yesInformation, 2023
Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar   +5 more
doaj   +2 more sources

Clarifying terminology and definitions in education services for mental health users: A disambiguation study. [PDF]

open access: yesPLoS One
In the wake of the mental health crisis in children and adolescents, the coordination of education and mental health services has become a global priority.
Pokhilenko I   +8 more
europepmc   +2 more sources

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