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Hedwig : A named entity linker

Named entity linking is the task of identifying mentions of named things in text, such as “Barack Obama” or “New York”, and linking these mentions to unique identifiers. In this paper, we describe Hedwig, an end-to-end named entity linker, which uses a combination of word and character BILSTM models for mention detection, a Wikidata and Wikipedia-derived knowledge base with global information aggr

Some Notes on Post-Quantum Cryptanalysis

Cryptography as it is used today relies on a foundational level on the assumptionthat either the Integer Factoring Problem (IFP) or the DiscreteLogarithm Problem (DLP) is computationally intractable. In the 1990s PeterShor developed a quantum algorithm that solves both problems in polynomialtime. Since then alternative foundational mathematical problems to replace IFPand DLP have been suggested. T

Using distant supervision to build a proposition bank

Semantic role labeling has become a key module of many language processing applications. To build an unrestricted semantic role labeler, the first step is to develop a comprehensive proposition bank. However, building such a bank is a costly enterprise, which has only been achieved for a handful of languages. In this paper, we describe a technique to build proposition banks for new languages using

Tracking and positioning using phase information from estimated multi-path components

High resolution radio based positioning and tracking is a key enabler for new or improved cellular services. In this work, we are aiming to track user movements with accuracy down to centimeters using standard cellular bandwidths of 20-40 MHz. The goal is achieved by using phase information from the multi-path components (MPCs) of the radio channels. First, an extended Kalman filter (EKF) is used

A Public Video Dataset for Road Transportation Applications

Video data and the tools for automated analysis have a great potential to be used in road traffic research, particularly road safety. In this project a video dataset is built and made public so that researchers can evaluate their algorithms on it. The dataset focuses on the traffic research applications (data from real research projects) and provides recordings of the traffic scenes, meta-data, ca

Named entity disambiguation in a question answering system.

In this paper, we describe how we use a named entity disambiguation module to merge entities in a question answering system. The question answering system uses a baseline passage retrieval component that extracts paragraphs from the Swedish version of Wikipedia. The passages are indexed and ranked using the Lucene platform. Prior to the indexing, we carried out a recognition and disambiguation of

A Helping Hand: Industrial Robotics, Knowledge and User-Oriented Services

In this paper we discuss AI in industrial robotics. In automatic control, computer vision and optimization, ma- chine learning and data mining algorithms are widely used. However, cognition enabling mechanisms, such as high-level logic and symbolic reasoning, are still limited. This is not due to the lack of available algorithms, rather the bottleneck is knowledge representation, acquisition and t

Describing constraint-based assembly tasks in unstructured natural language

Task-level industrial robot programming is a mundane, error-prone activity requiring expertise and skill. Since humans easily communicate with natural language (NL), it may be attractive to use speech or text as instruction means for robots. However, there has to be a substantial amount of knowledge in the system to translate the high-level language instructions to executable robot programs. In th

Protein identification by in-gel digestion, high-performance liquid chromatography, and mass spectrometry: peptide analysis by complementary ionization techniques

A biologically active protein fraction was isolated from rabbit intestine, purified by one-dimensional SDS-PAGE and stained with Coomassie Brilliant Blue. A predominant band of approximately 110-130 kDa was excised and digested in-gel with trypsin. The resulting peptides were extracted then separated by microbore reversed-phase high-performance liquid chromatography (HPLC). Mass spectrometric data

Utvärdering av enkätinstrument avseende föräldraskap

Vi behöver fler svar från pappor och blivande pappor! Och även från blivande mammor. Om du är en blivande pappa eller mamma får du gärna be den andra föräldern att fylla i enkäten också! Länken går att använda flera gånger.Om studienStudien "Utvärdering av enkätinstrument avseende föräldraskap" genomförs för att utvärdera vissa mätegenskaper för ett frågeformulär som heter "Bindningsskalan". Bindn

https://www.medicin.lu.se/forskning/delta-i-forskningsstudie/utvardering-av-enkatinstrument-avseende-foraldraskap - 2026-05-02

LU-nytt 6

Publicerad 15 april. Universitetsgemensamma nyheter Visa fler nyheter Aktuellt från universitetsledningen Erik Renström, rektor"Lagom till påsk fick vi ta del av resultatet av fjolårets idé- och tankearbete och allmänna kraftsamling. Det blev ett alldeles utmärkt påskägg och ett kvalitetskvitto för universitetets forskning där Vetenskapsrådet rekommenderar att Lunds universitet deltar i sex av de

https://www.medarbetarwebben.lu.se/kategori/lu-nytt-6-2026 - 2026-05-02

Ignacio velasco

Microsoft Word - THESIS IGNACIO VELASCO.doc More sustainable cooking technologies – A case study in rural kitchens in Michoacan, Mexico Author Ignacio Velasco Ulrikedalsvägen 2 T 219 224 58 Lund, Sweden Email: nachovel@hotmail.com Submitted for partial fulfillment of the requirements for LUMES, Lund University International Master’s Programme in Environmental Studies and Sustainability Science Sup

https://www.lumes.lu.se/sites/lumes.lu.se/files/ignacio_velasco.pdf - 2026-05-02

Proximates - A Social Context Engine

Several studies have shown the value of using proximity data to understand the social context of users. To simplify the use of social context in application development we have developed Proximates, a social context engine for mobile phones. It scans nearby Bluetooth peers to determine what devices are in proximity. We map Bluetooth MAC ids to user identities on existing social networks which then

Knowledge-Based Instruction of Manipulation Tasks for Industrial Robotics

When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible, as long as it is feasible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and sys

A New Frequency Estimation Method for Equally and Unequally Spaced Data

Spectral estimation is an important classical problem that has received considerable attention in the signal processing literature. In this contribution, we propose a novel method for estimating the parameters of sums of complex exponentials embedded in additive noise from regularly or irregularly spaced samples. The method relies on Kronecker's theorem for Hankel operators, which enables us to fo

Alternating Projections on Nontangential Manifolds

We consider sequences of points obtained by projecting a given point B=B (0) back and forth between two manifolds and , and give conditions guaranteeing that the sequence converges to a limit . Our motivation is the study of algorithms based on finding the limit of such sequences, which have proved useful in a number of areas. The intersection is typically a set with desirable properties but for w