Filetype
Background: As part of I-O Optimise, a multinational research platform providing real-world insights into the management of lung cancers, the SCAN-LEAF study aims to describe the epidemiology, clinical care and outcomes for pts with NSCLC in Scandinavia. We report initial Tx and OS for pts with NSCLC prior to the availability of immunotherapies in Sweden. Methods: The analysis includes all adult p
Diderot's Encyclopédie is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. Wikipedia has the same ambition with a much greater scope. However, the lack of digital connection between the two encyclopedias may hinder their comparison and the study of how knowledge has evolved. A key element of Wikipedia is Wikidata that backs the articles with a grap
Interpolations in the latent space of deep generative models is one of the standard tools to synthesize semantically meaningful mixtures of generated samples. As the generator function is non-linear, commonly used linear interpolations in the latent space do not yield the shortest paths in the sample space, resulting in non-smooth interpolations. Recent work has therefore equipped the latent space
Heart transplantation (HT) is a life saving procedure, but a limited donor supply forces the surgeons to prioritize the recipients. The understanding of factors that predict mortality could help the doctors with this task. The objective of this study is to find locally optimal feature sets to predict survival of HT patients for different time periods. To this end, we applied logistic regression to
This paper describes the automatic creation of semantic networks from Wikipedia. Following Lipczak et al. (2014), we constructed the graphs corresponding to the semantic networks by merging across languages the categories manually assigned by the users. This results in a network of related concepts for each entity of Wikipedia. We used these networks as a component of an entity linking system. the
In this paper, we describe Langforia, a multilingual processing pipeline to annotate texts with multiple layers: formatting, parts of speech, named entities, dependencies, semantic roles, and entity links. Langforia works as a web service, where the server hosts the language processing components and the client, the input and result visualization. To annotate a text or a Wikipedia page, the user c
In this paper, we investigate the annotation projection of semantic units in a practical setting. Previous approaches have focused on using parallel corpora for semantic transfer. We evaluate an alternative approach using loosely parallel corpora that does not require the corpora to be exact translations of each other. We developed a method that transfers semantic annotations from one language to
In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimentat
Flash droughts, as sub-seasonal phenomena, are characterized by their rapid onset and significant impact on terrestrial ecosystems. However, understanding how vegetation responds to flash droughts and the mechanisms governing vegetation recovery remains elusive. Here, we analysed the response of vegetation productivity to flash droughts and identified the most relevant drivers controlling vegetati
In this paper, we describe the extraction of all the location entries from a prominent Swedish encyclopedia from the early 20th century, the Nordisk Familjebok 'Nordic Family Book.' We focused on the second edition called Uggleupplagan, which comprises 38 volumes and over 182,000 articles. This makes it one of the most extensive Swedish encyclopedias. Using a classifier, we first determined the ca
In this country report, as well as the accompanying general report, the authors revisit a 1999 European Taxation article discussing tax avoidance, which stemmed from the first European Association of Tax Law Professors meeting. The authors explore shifts in tax avoidance perception due to the introduction of the treaty general anti-avoidance rule (GAAR) (principal purpose test), EU GAAR and specif
Based on t he Boltzmann Machine concept, we derive alear ning algorithm in which time-consuming stochastic measurementsof correlations a re replaced by solutions to dete rminist ic mean fieldtheory equ ations. T he method is applied to t he XOR (exclusive-or ),encoder, and line sym metry problems with substantial success. Weobserve speedup facto rs ranging from 10 to 30 for these ap plicat ionsand
We propose a simple architecture for implementing supervised neural network models optically with photorefractive technology. The architecture is very versatile: a wide range of supervised learning algorithms can be implemented including mean-field-theory, backpropagation, and Kanerva-style networks. Our architecture is based on a single crystal with spatial multiplexing rather than the more commo
For theologians such as Karl Barth the support for Germany’s militaristic ambitions and actions voiced in the manifesto "An die Kulturwelt", published in 1914, was a consequence of the historicization of theology. Ernst Troeltsch (1865-1923), whose interdisciplinary thinking revolved around the significance of history for theology, was labeled the theologian of historicism. Although he had not sig
T-cell development provides an excellent model system for studying lineage commitment from a multipotent progenitor. The intrathymic development process has been thoroughly studied. The molecular circuitry controlling it has been dissected and the necessary steps like programmed shut off of progenitor genes and T-cell genes upregulation have been revealed. However, the exact timing between decisio
