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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
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Hybrid Transformer-Based Large Language Models for Word Sense Disambiguation in the Low-Resource Sesotho sa Leboa Language [PDF]
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
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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
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Minimalist Entity Disambiguation for Mid-Resource Languages [PDF]
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Benno Kruit
semanticscholar +4 more sources
Exploiting a lexical resource for discourse connective disambiguation in German [PDF]
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]
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]
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]
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
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]
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