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Fusion of Fast-text and Indo-Wordnet for Disambiguation of Word Sense in the Marathi Language

International Journal of Scientific Research in Science and Technology
This research employs the combination of the FastText model and Indo-WordNet to address the issue of word sense disambiguation (WSD) in Marathi literature.
Mr. Aparitosh Gahankari   +4 more
semanticscholar   +1 more source

Marathi Word Sense Disambiguation through unsupervised K-Means Clustering

Engineering, Technology & Applied Science Research
Word Sense Disambiguation (WSD) is the most crucial Natural Language Processing task and refers to the process of determining the most suitable meaning of a word within its contextual usage.
Rasika Ransing, Archana Gulati
semanticscholar   +1 more source

MultiCoPIE: A Multilingual Corpus of Potentially Idiomatic Expressions for Cross-lingual PIE Disambiguation

Workshop on Multiword Expressions
Language models are able to handle compositionality and, to some extent, non-compositional phenomena such as semantic idiosyncrasy, a feature most prominent in the case of idioms.
Uliana Sentsova   +3 more
semanticscholar   +1 more source

Abbreviation Identification and Disambiguation in Real-World Clinical Narratives

2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)
The use of non-standardized and context-dependent abbreviations in clinical narratives introduces critical challenges for natural language processing models, limiting the accuracy of information extraction, affecting semantic interpretation, and posing ...
Joao Pedro Joaquim   +2 more
semanticscholar   +1 more source

Algorithm for Semantic Network Generation from Texts of Low Resource Languages Such as Kiswahili

Open Journal for Information Technology
Processing low-resource languages, such as Kiswahili, using machine learning is difficult due to lack of adequate training data. However, such low-resource languages are still important for human communication and are already in daily use and users need ...
B. Wanjawa   +2 more
semanticscholar   +1 more source

Using UMLS lexical resources to disambiguate abbreviations in clinical text.

AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013
Clinical text is rich in acronyms and abbreviations, and they are highly ambiguous. As a pre-processing step before subsequent NLP analysis, we are developing and evaluating clinical abbreviation disambiguation methods. The evaluation of two sequential steps, the detection and the disambiguation of abbreviations, is reported here, for various types of ...
Youngjun, Kim   +2 more
openaire   +1 more source

American Cancer Society nutrition and physical activity guideline for cancer survivors

Ca-A Cancer Journal for Clinicians, 2022
Tracy E Crane   +2 more
exaly  

How can hospitals change practice to better implement smoking cessation interventions? A systematic review

Ca-A Cancer Journal for Clinicians, 2022
Anna Ugalde   +2 more
exaly  

Resource Scheduling in Edge Computing: A Survey

IEEE Communications Surveys and Tutorials, 2021
Changle Li, Guanghui Li, Quyuan Luo
exaly  

Neural resources recruited to disambiguate sentences with a temporary structural ambiguity: An fMRI study

Brain and Language, 2005
James C. Gee   +4 more
openaire   +2 more sources

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