330 research outputs found
Factorizing complementation in a TT-MCTAG for German
TT-MCTAG lets one abstract away from the relative order of co-complements in the final derived tree, which is more appropriate than classic TAG when dealing with flexible word order in German. In this paper, we present the analyses for sentential complements, i.e., wh-extraction, thatcomplementation and bridging, and we work out the crucial differences between these and respective accounts in XTAG (for English) and V-TAG (for German)
Encoding Lexicalized Tree Adjoining Grammars with a Nonmonotonic Inheritance Hierarchy
This paper shows how DATR, a widely used formal language for lexical
knowledge representation, can be used to define an LTAG lexicon as an
inheritance hierarchy with internal lexical rules. A bottom-up featural
encoding is used for LTAG trees and this allows lexical rules to be implemented
as covariation constraints within feature structures. Such an approach
eliminates the considerable redundancy otherwise associated with an LTAG
lexicon.Comment: Latex source, needs aclap.sty, 8 page
Syndromic and Point-of-Care Molecular Testing
This article is made available for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic
Anaphora and Discourse Structure
We argue in this paper that many common adverbial phrases generally taken to
signal a discourse relation between syntactically connected units within
discourse structure, instead work anaphorically to contribute relational
meaning, with only indirect dependence on discourse structure. This allows a
simpler discourse structure to provide scaffolding for compositional semantics,
and reveals multiple ways in which the relational meaning conveyed by adverbial
connectives can interact with that associated with discourse structure. We
conclude by sketching out a lexicalised grammar for discourse that facilitates
discourse interpretation as a product of compositional rules, anaphor
resolution and inference.Comment: 45 pages, 17 figures. Revised resubmission to Computational
Linguistic
Low-cost internet of things and snapshot geolocation pipeline in marine sensing
Biologging and biotelemetry are commonly used as methods to assess marine biodiversity pop ulation. However, current state-of-the-art devices (commonly referred to as tags) remain at the
greater cost of production while geolocation and georeferencing methods use proprietary satellite
constellations, remain expensive and are prone to greater battery usage. This dissertation enhances
such state-of-the-art devices, providing affordable tags for multipurpose usage. Dissertation contri bution is two-fold. In first, it describes the design of low-cost telecommunication system comprised
from tag emitters and land receivers, evaluated during the sea-vessel field trips in pelagic area of
Madeira island. In second, it also describes the software pipeline for deducing the position of tags,
leveraging the raw signal from obtained GPS receivers.Bio-logging e biotelemetria são métodos de grande importância como métodos de avaliação da
biodiversidade marítima. No entanto, os dispositivos atuais normalmente referidos por tags per manecem com um elevado custo de produção e, são suscetiveis a elevado consumo de energia. Esta
dissertação procura melhorar o bio-logging e a biotelemetria para a estimativa da biodiversidade
marítima, com três contribuições distintas: (i) realizar análise em detalhe de sistemas de última
geração de bio-logging e de biotelemetria, (ii) desenvolver um sistema inovador usando Internet
of things (IoT) e Long Range (LoRa), e (iii) melhorar o sistema fastloc com computação no CPU
da tag, para estimar a posição de mamíferos marítimos na superfície do mar. O príncipal objetivo
é reduzir o custo de tais sistemas de detecção, explorando o IoT, LoRa e fastloc na cricação de
bio-loggers e sistemas de biotelemetria
Research in the Language, Information and Computation Laboratory of the University of Pennsylvania
This report takes its name from the Computational Linguistics Feedback Forum (CLiFF), an informal discussion group for students and faculty. However the scope of the research covered in this report is broader than the title might suggest; this is the yearly report of the LINC Lab, the Language, Information and Computation Laboratory of the University of Pennsylvania.
It may at first be hard to see the threads that bind together the work presented here, work by faculty, graduate students and postdocs in the Computer Science and Linguistics Departments, and the Institute for Research in Cognitive Science. It includes prototypical Natural Language fields such as: Combinatorial Categorial Grammars, Tree Adjoining Grammars, syntactic parsing and the syntax-semantics interface; but it extends to statistical methods, plan inference, instruction understanding, intonation, causal reasoning, free word order languages, geometric reasoning, medical informatics, connectionism, and language acquisition.
Naturally, this introduction cannot spell out all the connections between these abstracts; we invite you to explore them on your own. In fact, with this issue it’s easier than ever to do so: this document is accessible on the “information superhighway”. Just call up http://www.cis.upenn.edu/~cliff-group/94/cliffnotes.html
In addition, you can find many of the papers referenced in the CLiFF Notes on the net. Most can be obtained by following links from the authors’ abstracts in the web version of this report.
The abstracts describe the researchers’ many areas of investigation, explain their shared concerns, and present some interesting work in Cognitive Science. We hope its new online format makes the CLiFF Notes a more useful and interesting guide to Computational Linguistics activity at Penn
Evaluation of the Luminex xTAG Respiratory Viral Panel FAST v2 assay for detection of multiple respiratory viral pathogens in nasal and throat swabs in Vietnam.
BACKGROUND: Acute respiratory infections (ARI) are among the leading causes of hospitalization in children ≤5 years old. Rapid diagnostics of viral pathogens is essential to avoid unnecessary antibiotic treatment, thereby slowing down antibiotic-resistance. We evaluated the diagnostic performance of the Luminex xTAG Respiratory Viral Panel FAST v2 against viral specific PCR as reference assays for ARI in Vietnam. METHODS: Four hundred and forty two nose and throat swabs were collected in viral transport medium, and were tested with Luminex xTAG Respiratory Viral Panel FAST v2. Multiplex RT-PCR and single RT-PCR were used as references. Results: Overall, viral pathogens were detected in a total count of 270/294 (91.8%, 95% CI 88.1-94.7) by the Luminex among reference assays, whilst 112/6336 (1.8%, 95% CI, 1.4-2.1) of pathogens were detected by the Luminex, but not by reference assays. Frequency of pathogens detected by Luminex and reference assays was 379 and 292, respectively. The diagnostic yield was 66.7% (295/442, 95%CI 62.1-71.1%) for the Luminex assay and 54.1% (239/442, 95% CI, 49.3-58.8%) for reference assays. The Luminex kit had higher yields for all viruses except influenza B virus, respiratory syncytial virus, and human bocavirus. High agreements between both methods [mean (range): 0.91 (0.83-1.00)] were found for 10/15 viral agents. CONCLUSIONS: The Luminex assay is a high throughput multiplex platform for rapid detection of common viral pathogens causing ARI. Although the current high cost may prevent Luminex assays from being widely used, especially in limited resource settings where ARI are felt most, its introduction in clinical diagnostics may help reduce unnecessary use of antibiotic prescription
xMAP Technology: Applications in Detection of Pathogens
xMAP technology is applicable for high-throughput, multiplex and simultaneous detection of different analytes within a single complex sample. xMAP multiplex assays are currently available in various nucleic acid and immunoassay formats, enabling simultaneous detection and typing of pathogenic viruses, bacteria, parasites and fungi and also antigen or antibody interception. As an open architecture platform, the xMAP technology is beneficial to end users and therefore it is used in various pharmaceutical, clinical and research laboratories. The main aim of this review is to summarize the latest findings and applications in the field of pathogen detection using microsphere-based multiplex assays.xMAP technology is applicable for high-throughput, multiplex and simultaneous detection of different analytes within a single complex sample. xMAP multiplex assays are currently available in various nucleic acid and immunoassay formats, enabling simultaneous detection and typing of pathogenic viruses, bacteria, parasites and fungi and also antigen or antibody interception. As an open architecture platform, the xMAP technology is beneficial to end users and therefore it is used in various pharmaceutical, clinical and research laboratories. The main aim of this review is to summarize the latest findings and applications in the field of pathogen detection using microsphere-based multiplex assays
- …