Results 101 to 110 of about 14,660 (202)
Comparing the writing style of real and artificial papers
Recent years have witnessed the increase of competition in science. While promoting the quality of research in many cases, an intense competition among scientists can also trigger unethical scientific behaviors.
Amancio, Diego R.
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Industry Driven Competencies for MBA – Marketign Graduates. ABSTRACT In today's dynamic business environment, marketing professionals are expected to demonstrate a balanced mix of conceptual knowledge, technical skills, and behavioral competencies while addressing their customers.
Latha Arumugham +3 more
wiley +1 more source
The Lemmatization of Copulatives in Northern Sotho *
<p>Abstract: For learners of Northern Sotho as a second or even foreign language, the copulative system is probably the most complicated grammatical system to master. The encoding needs of such learners, i.e.
D.J. Prinsloo
doaj +1 more source
A new way to lemmatize adjectives in a user-friendly Zulu-English dictionary [PDF]
Traditionally, Zulu adjectives have been lemmatized under their stems only. In this research article, art in-depth analysis is undertaken to make a case for the lemmatization of all frequent adjectival forms with their adjective concords rather.
de Schryver, Gilles-Maurice
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Recommender Systems for Improving Personalised Research Assistance and Literature Discovery
SemanticRec helps researchers find more relevant academic papers by combining keyword‐based retrieval with SciBERT semantic understanding. Tested on 1.7M DBLP and 1M ACM records, it improves recommendation quality and contextual relevance, substantially boosting precision and F1‐score over traditional cosine and Jaccard methods, making scholarly ...
Shahzad Ahmad +3 more
wiley +1 more source
In linguistic morphology and information retrieval, stemming is the process for reducing inflected (or sometimes derived) words to their stem, base or root form; generally a written word form.
Milošević, Nikola
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Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity
Semantic similarity measures are an important part in Natural Language Processing tasks. However Semantic similarity measures built for general use do not perform well within specific domains.
Ayesha, Buddhi +6 more
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How to Lemmatize German Words with NLP-Spacy Lemmatizer?
null Darni +4 more
openaire +1 more source
ABSTRACT Background and Aims Despite the growing burden of obesity‐related noncommunicable diseases, little is known about how obesity is incorporated into local health‐planning instruments. Therefore, this study examined the presence and structure of actions and goals related to obesity management in the municipal health plans (MHPs) of the state of ...
Renata Midoguti Joia +6 more
wiley +1 more source
BioLemmatizer: a lemmatization tool for morphological processing of biomedical text
Background The wide variety of morphological variants of domain-specific technical terms contributes to the complexity of performing natural language processing of the scientific literature related to molecular biology.
Liu Haibin +3 more
doaj +1 more source

