Results 111 to 120 of about 35,833 (287)
Abstract In the present study, 43 Italian school‐age children (age range = 7–14 years, 16 females) with (N = 19) and without DD (N = 24) were presented with pairs of visual displays separated by varying interstimulus intervals and performed either a temporal integration or segregation task despite an identical visual input.
Giuseppe Di Dona +4 more
wiley +1 more source
Accurate assignment of meaning to a word based on its context, known as Word Sense Disambiguation (WSD), remains challenging across languages. Extensive research aims to develop automated methods for determining word senses in different contexts. However,
Sanaa Kaddoura, Reem Nassar
doaj +1 more source
Word sense disambiguation with pattern learning and automatic feature selection [PDF]
This paper presents a novel approach for word sense disambiguation. The underlying algorithm has two main components: (1) pattern learning from available sense-tagged corpora (SemCor), from dictionary definitions (WordNet) and from a generated corpus (GenCor); and (2) instance based learning with automatic feature selection, when training data is ...
openaire +1 more source
Short Text Correlation Calculation Based on Wikipedia [PDF]
In order to improve the accuracy of semantic correlation of short text,this paper uses Wikipedia as an external semantic knowledge base,and combines with structure features of Wikipedia,such as typing architecture of Wikipedia,link structure between ...
JING Qi,DUAN Liguo,LI Aiping,ZHAO Qian
doaj
Very Short Texts Hierarchical Classification Combining Semantic Interpretation and DeBERTa [PDF]
Text hierarchy classification has important applications in scenarios such as social comment topic classification and search term classification.The data in these scenarios often exhibits short text features,which is reflected in the sparsity and ...
CHEN Haoyang, ZHANG Lei
doaj +1 more source
ABSTRACT In task‐based language learning, learners have to deal with the challenge of moving the task and the talk concurrently forward. In doing so, they develop sets of task‐relevant, interactional, and multimodal resources. In this study we use multimodal longitudinal conversation analysis to investigate one learner's L2 interactional competence ...
Carmen Konzett‐Firth, Ufuk Balaman
wiley +1 more source
Using numerical Monte Carlo simulations of nanoparticle‐T‐cell receptors binding, we show that the spatial organization of surface receptors is important for affinity‐based discrimination of peptide‐major histocompatibility complex ligands. Interaction geometry modulates the sensitivity of the T‐cell response to both ligand concentration and binding ...
Louis Richez, Anmar Khadra
wiley +1 more source
Name Disambiguation from link data in a collaboration graph using temporal and topological features [PDF]
Baichuan Zhang +2 more
openalex +1 more source
Local Networks and New Business Formation
ABSTRACT New business formation is a key driver of regional transformation and development. While we know that a region's attractiveness for new businesses depends on its resources, infrastructure, and human capital, we know little about the role of local business networks in promoting or impeding the birth of new firms.
Lena Füner +3 more
wiley +1 more source
This work explores the use of word embeddings as features for Spanish verb sense disambiguation (VSD). This type of learning technique is named disjoint semisupervised learning: an unsupervised algorithm (i.e.
Cristian Cardellino +1 more
doaj +1 more source

