Results 61 to 70 of about 222,622 (291)
Unsupervised Dependency Parsing: Let's Use Supervised Parsers
, 2015 We present a self-training approach to unsupervised dependency parsing that reuses existing supervised and unsupervised parsing algorithms. Our approach, called `iterated reranking' (IR), starts with dependency trees generated by an unsupervised parser ...
Le, Phong, Zuidema, Willem
core +1 more source
From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring
Advanced Science, EarlyView.This review focuses on recent advances in self‐powered sweat sensors in personal health monitoring, including sweat sensors, energy harvesters, energy management, and their applications. It analyzes the difficulties and challenges in the research field of self‐powered sweat sensors and looks into the future direction of self‐powered sweat sensors from ...
Nan Gao +3 more
wiley +1 more source
JCPP Advances, Volume 2, Issue 4, December 2022., 2022 Although it is well‐established that both genetics and the environment influence brain development, they are typically examined separately. This study lends novel insights into gene‐environment interplay on the developing brain as well as pointing to promising candidate loci for future mechanistic studies.
Koen Bolhuis +8 more
wiley +1 more source
Advanced Science, EarlyView.This work explores the process of morning awakening of the human brain using polysomnography paired with simultaneous stereo‐electroencephalography, a method that provides high spatial and temporal resolution for examining brain activity. Awakening is characterized by an increase in high‐frequency spectral power and connectivity.
Tamir Avigdor +5 more
wiley +1 more source
Enhancing human parsing with region‐level learning
IET Computer VisionHuman parsing is very important in a diverse range of industrial applications. Despite the considerable progress that has been achieved, the performance of existing methods is still less than satisfactory, since these methods learn the shared features of
Yanghong Zhou, P. Y. Mok
doaj +1 more source
Journal of Language Modelling, 2019 A recently proposed balanced-bracket encoding (Yli-Jyrä and GómezRodríguez 2017) has given us a way to embed all noncrossing dependency graphs into the string space and to formulate their exact arcfactored inference problem (Kuhlmann and Johnsson 2015 ...
Anssi Mikael Yli-Jyrä
doaj +1 more source
Language Processing at Its Trickiest: Grammatical Illusions and Heuristics of Judgment
Languages, 2020 Humans are intuitively good at providing judgments about what forms part of their native language and what does not. Although such judgments are robust, consistent, and reliable, human cognition is demonstrably fallible to illusions of various types ...
Evelina Leivada
doaj +1 more source
Context Dependent Semantic Parsing: A Survey [PDF]
arXiv, 2020 Semantic parsing is the task of translating natural language utterances into machine-readable meaning representations. Currently, most semantic parsing methods are not able to utilize contextual information (e.g. dialogue and comments history), which has a great potential to boost semantic parsing performance.
arxiv
Advanced Science, EarlyView.Pancreatic β cell loss by cellular stress contributes to diabetes pathogenesis. The study demonstrates that WFS1–ZnT8–zinc axis regulates vicious cycle of zinc transportation and cellular stress in pancreatic β cell. Based on that, the study applies a strategy for compound screening targeting ZnT8 based on human models, and identifies anisomycin, as a ...
Rui Hu +19 more
wiley +1 more source
End-to-End Chinese Parsing Exploiting Lexicons [PDF]
arXiv, 2020 Chinese parsing has traditionally been solved by three pipeline systems including word-segmentation, part-of-speech tagging and dependency parsing modules. In this paper, we propose an end-to-end Chinese parsing model based on character inputs which jointly learns to output word segmentation, part-of-speech tags and dependency structures. In particular,
arxiv