404 research outputs found
Textual Economy through Close Coupling of Syntax and Semantics
We focus on the production of efficient descriptions of objects, actions and
events. We define a type of efficiency, textual economy, that exploits the
hearer's recognition of inferential links to material elsewhere within a
sentence. Textual economy leads to efficient descriptions because the material
that supports such inferences has been included to satisfy independent
communicative goals, and is therefore overloaded in Pollack's sense. We argue
that achieving textual economy imposes strong requirements on the
representation and reasoning used in generating sentences. The representation
must support the generator's simultaneous consideration of syntax and
semantics. Reasoning must enable the generator to assess quickly and reliably
at any stage how the hearer will interpret the current sentence, with its
(incomplete) syntax and semantics. We show that these representational and
reasoning requirements are met in the SPUD system for sentence planning and
realization.Comment: 10 pages, uses QobiTree.te
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
Mitigating social and economic sources of trauma:the need for Universal Basic Income during the Coronavirus Pandemic
The COVID-19 Pandemic is projected to cause an economic shock larger than the Global Financial Crisis of 2007/2008 and a recession as great as anything seen since the Great Depression in 1930s. The social and economic consequences of lockdowns and social distancing measures, such as unemployment, broken relationships and homelessness create potential for inter-generational trauma extending decades into the future. In this article, we argue that, in the absence of a vaccine, governments need to introduce Universal Basic Income as a means of mitigating this trauma
Conflict-free access rules for sharing smart patient health records
This research is funded by the EU H2020 project Serums (Securing Medical Data in Smart Patient-Centric Healthcare Systems), grant code 826278.With an increasing trend in personalised healthcare provision across Europe, we need solutions to enable the secure transnational sharing of medical records, establishing granular access rights to personal patient data. Access rules can establish what should be accessible by whom for how long, and comply with collective regulatory frameworks, such as the European General Data Protection Regulation (GDPR). The challenge is to design and implement such systems integrating novel technologies like Blockchain and Data Lake to enhance security and access control. The blockchain module must deal with adequate policies and algorithms to guarantee that no data leaks occur when authorising data retrieval requests. The data lake module tackles the need for an efficient way to retrieve potential granular data from heterogeneous data sources. In this paper, we define a patient-centric authorisation approach, incorporating a structured format for composing access rules that enable secure data retrieval and automatic rules conflict checking.Postprin
SWAT
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 52-54).This thesis introduces the Stateful Web Augmentation Toolkit (SWAT), a toolkit that gives users control over the presentation and functionality of web content. SWAT extends Chickenfoot, a Firefox browser scripting environment that offers a variety of automation and manipulation capabilities. SWAT allows programmers to identify data records in database-backed web sites. Records are nodes of data corresponding to rows in the database backend. Programmers can append additional functionality to those nodes, and the resulting code can be bundled up and installed by users without technical expertise. SWAT consists of three modules: a Site Profile module that identifies data records, a Tweak module that defines the look and behavior of an interactive widget, and a Storage module that persists the widget state across pages and browser sessions. Default implementations are provided for each module, and these implementations adhere to an API that encompasses all communication between modules. A programmer can extend or replace any module to improve a system built with SWAT. With SWAT, end users can customize sites far beyond where their content providers stopped, and can add functionality that logically connects different data sources, changes how and where data is stored, and redefines how they interact with the web.by Matthew J. Webber.M.Eng
Field testing a novel high residence positioning system for monitoring the fine‐scale movements of aquatic organisms
1. Acoustic telemetry is an important tool for studying the behaviour of aquatic organisms in the wild.
2. VEMCO high residence (HR) tags and receivers are a recent introduction in the field of acoustic telemetry and can be paired with existing algorithms (e.g. VEMCO positioning system [VPS]) to obtain high‐resolution two‐dimensional positioning data.
3. Here, we present results of the first documented field test of a VPS composed of HR receivers (hereafter, HR‐VPS). We performed a series of stationary and moving trials with HR tags (mean HR transmission period = 1.5 s) to evaluate the precision, accuracy and temporal capabilities of this positioning technology. In addition, we present a sample of data obtained for five European perch Perca fluviatilis implanted with HR tags (mean HR transmission period = 4 s) to illustrate how this technology can estimate the fine‐scale behaviour of aquatic animals.
4. Accuracy and precision estimates (median [5th–95th percentile]) of HR‐VPS positions for all stationary trials were 5.6 m (4.2–10.8 m) and 0.1 m (0.02–0.07 m), respectively, and depended on the location of tags within the receiver array. In moving tests, tracks generated by HR‐VPS closely mimicked those produced by a handheld GPS held over the tag, but these differed in location by an average of ≈9 m.
5. We found that estimates of animal speed and distance travelled for perch declined when positional data for acoustically tagged perch were thinned to mimic longer transmission periods. These data also revealed a trade‐off between capturing real nonlinear animal movements and the inclusion of positioning error.
6. Our results suggested that HR‐VPS can provide more representative estimates of movement metrics and offer an advancement for studying fine‐scale movements of aquatic organisms, but high‐precision survey techniques may be needed to test these systems
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