Results 51 to 60 of about 7,226 (295)
“Hideous Kinky” presents the story of an English mother travelling in Morocco with her two daughters. As expected, this exotic journey is about the woman’s pursuit of spiritual enlightenment.
Bălănescu Olivia Eleonra
doaj +1 more source
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Identifying Duplicates : Disambiguating Bibsys [PDF]
The digital information age has brought with it the information seekers. These seekers, which are ordinary people, are one step ahead of many libraries, and require all information to be retrievable by posting a query and/or by browsing through ...
Myrhaug, Kristian
core +1 more source
From Networks to Named Entities and Back Again: Exploring Classical Arabic 'Isnād' Networks
This paper explores new methods for disambiguating the identity of individuals in classical Arabic citations (isnāds) using a network-based approach. After training a model to extract name mentions from classical Arabic, we embed these mentions in vector
Ryan Muther +2 more
doaj +1 more source
Pronunciation Disambiguation in Turkish
In text-to-speech systems and in developing transcriptions for acoustic speech data, one is faced with the problem of disambiguating the pronunciation of a token in the context it is used, so that the correct pronunciation can be produced or the transcription uses the correct set of phonemes.
M. Oguzhan Külekci, Kemal Oflazer
openaire +4 more sources
Chinese segmentation disambiguation [PDF]
A technique of reasoning under uncertainty is studied in an attempt to solve disambiguation problems of Chinese segmentation. A knowledge-based inexact reasoning theory incorporating knowledge in morphology, syntax, semantics and pragmatics is presented.
openaire +2 more sources
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation [PDF]
We introduce a new method for unsupervised knowledge-based word sense disambiguation (WSD) based on a resource that links two types of sense-aware lexical networks: one is induced from a corpus using distributional semantics, the other is manually constructed.
Alexander Panchenko +3 more
openaire +2 more sources
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Disambiguating Temporal Connectors into TimeML relations [PDF]
The project is about learning temporal relations from unannotated text. This effort builds on the work of Lapata M. and Lascarides, A. (2006): Learning sentence-internal temporal relations, who developed a system that uses temporal connectors (after,
Dilg, Frauke
core +3 more sources

