Results 111 to 120 of about 67,464 (283)

Who polarises? Who targets? Parties’ educational speech over the long run

European Journal of Political Research, EarlyView.
Abstract How do political parties speak about education? While struggles over education played a foundational role in structuring modern partisan cleavages, scholars debate the extent to which parties still adopt distinct rhetorical stances on education.
JANE GINGRICH, ANJA GIUDICI
wiley   +1 more source

Precision-biased Parsing and High-Quality Parse Selection [PDF]

arXiv, 2012
We introduce precision-biased parsing: a parsing task which favors precision over recall by allowing the parser to abstain from decisions deemed uncertain. We focus on dependency-parsing and present an ensemble method which is capable of assigning parents to 84% of the text tokens while being over 96% accurate on these tokens.
arxiv  

Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4

British Journal of Psychology, EarlyView.
Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern, Chien‐Te Wu, Zenas C. Chao   +2 more
wiley   +1 more source

Rediscovering Bottom-Up: Effective Forecasting in Temporal Hierarchies [PDF]

arXiv
Forecast reconciliation has become a prominent topic in recent forecasting literature, with a primary distinction made between cross-sectional and temporal hierarchies. This work focuses on temporal hierarchies, such as aggregating monthly time series data to annual data.
arxiv  

Semi-Supervised Methods for Out-of-Domain Dependency Parsing [PDF]

arXiv, 2018
Dependency parsing is one of the important natural language processing tasks that assigns syntactic trees to texts. Due to the wider availability of dependency corpora and improved parsing and machine learning techniques, parsing accuracies of supervised learning-based systems have been significantly improved.
arxiv  

The differences in essential facial areas for impressions between humans and deep learning models: An eye‐tracking and explainable AI approach

British Journal of Psychology, EarlyView.
Abstract This study explored the facial impressions of attractiveness, dominance and sexual dimorphism using experimental and computational methods. In Study 1, we generated face images with manipulated morphological features using geometric morphometrics. In Study 2, we conducted eye tracking and impression evaluation experiments using these images to
Takanori Sano, Jun Shi, Hideaki Kawabata
wiley   +1 more source

Can reconstruction programmes improve political perceptions in conflict contexts? Evidence from eastern Democratic Republic of the Congo

South African Journal of Economics, Volume 90, Issue 4, Page 427-455, December 2022., 2022
Abstract Postconflict reconstruction programmes often aim to improve state–society relations but fail to spell out the underlying process. We specify a mechanism that links aid programmes through (1) short‐term and (2) medium‐term improvements in basic services and (3) subjective progress to (4) perceptions of the state and spell four conditions ...
Alexander De Juan, Carlo Koos, Miquel Pellicer, Eva Wegner   +3 more
wiley   +1 more source

Epithelial Tissues from the Bottom-Up: Contact Inhibition, Wound Healing, and Force Networks [PDF]

arXiv
In processes such as embryo shaping, wound healing, and malignant cell invasion, epithelial cells transition between dispersed phases, where the cells move independently, and condensed phases, where they aggregate and deform to close gaps, forming confluent tissues.
arxiv  

Progressive refinement: a method of coarse-to-fine image parsing using stacked network [PDF]

arXiv, 2018
To parse images into fine-grained semantic parts, the complex fine-grained elements will put it in trouble when using off-the-shelf semantic segmentation networks. In this paper, for image parsing task, we propose to parse images from coarse to fine with progressively refined semantic classes.
arxiv  

Computers and chess masters: The role of AI in transforming elite human performance

British Journal of Psychology, EarlyView.
Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley   +1 more source