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In this paper, we describe a system that jointly extracts entities appearing in images and mentioned in their ac- companying captions. As input, the entity linking pro- gram takes a segmented image together with its cap- tion. It consists of a sequence of processing steps: part- of-speech tagging, dependency parsing, and coreference resolution that enables us to identify the entities as well as po
The Complete Active Space Second-Order Perturbation Theory (CASPT2) is well-established as a high-accuracy electronic structure method. It was originally implemented in the early 1990s to an efficient computer code in the molcas program suite, and this implementation has been extensively used as a standard tool. Here, we report a comparison of it against two independent computer-aided implementati
This paper focuses on mapping the different losses present in an Insert Permanent Magnet Synchronous Machine (IPMSM). The machine is designed as a traction machine according to the requirements of a parallel hybrid electric heavy vehicle. This includes a wide constant power range and overload capability, all to be fitted in a strictly limited space in the vehicle. In order to meet the requirements
This document demonstrates a conceptual study, design and development of unconventional electromagnetic actuators for applications where a high torque over a limited part of a rotational turn is required. The unconventionality of the actuators is that the electromagnetic actuation is applied directly on a high ratio transmission gear such as a cycloid disc in a cycloid drive or a flex-spline in a
In this paper, we describe a new system to extract, index, search, and visualize entities on Wikipedia. To carry out the extraction, we designed a high-performance entity linker and we used a document model to store the resulting linguistic annotations. The entity linker ,HERD, extracts the mentions from text using a string matching Engine and links the mto entities with a combination of rules, Pa
Wilms' tumor gene 1 (WT1) is a zinc finger transcription factor that has been implicated as an oncogene in leukemia and several other malignancies. When investigating possible gene expression network partners of . WT1 in a large acute myeloid leukemia (AML) patient cohort, one of the genes with the highest correlation to . WT1 was quinolinate phosphoribosyltransferase (QPRT), a key enzyme in the .
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
We complete and improve the results of a recent paper by Ekholm, Kovařík and Portmann in connection with a question of C. Guillarmou about the semiclassical expansion of the lowest eigenvalue of the Pauli operator with Dirichlet conditions. We exhibit connections with the properties of the torsion function in mechanics, the exit time of a Brownian motion and the analysis of the low eigenvalues of
Blood-brain barrier (BBB) dysfunction might be an important component of many neurodegenerative disorders. In this study, we investigated its role in dementia using large clinical cohorts. The cerebrospinal fluid (CSF)/plasma albumin ratio (Qalb), an indicator of BBB (and blood-CSF barrier) permeability, was measured in a total of 1015 individuals. The ratio was increased in patients with Alzheime
This paper describes the extraction of information on lethal events from the Swedish version of Wikipedia. The information searched includes the persons’ cause of death, origin, and profession. We carried out the extraction using a processing pipeline of available tools for Swedish including a part-of-speech tagger, a dependency parser, and manually-written extraction rules. We also extracted stru
This paper describes a set of methods to link entities across images and text. As a corpus, we used a data set of images, where each image is commented by a short caption and where the regions in the images are manually segmented and labeled with a category. We extracted the entity mentions from the captions and we computed a semantic similarity between the mentions and the region labels. We also
