192,628 research outputs found
Argumentation Mining in User-Generated Web Discourse
The goal of argumentation mining, an evolving research field in computational
linguistics, is to design methods capable of analyzing people's argumentation.
In this article, we go beyond the state of the art in several ways. (i) We deal
with actual Web data and take up the challenges given by the variety of
registers, multiple domains, and unrestricted noisy user-generated Web
discourse. (ii) We bridge the gap between normative argumentation theories and
argumentation phenomena encountered in actual data by adapting an argumentation
model tested in an extensive annotation study. (iii) We create a new gold
standard corpus (90k tokens in 340 documents) and experiment with several
machine learning methods to identify argument components. We offer the data,
source codes, and annotation guidelines to the community under free licenses.
Our findings show that argumentation mining in user-generated Web discourse is
a feasible but challenging task.Comment: Cite as: Habernal, I. & Gurevych, I. (2017). Argumentation Mining in
User-Generated Web Discourse. Computational Linguistics 43(1), pp. 125-17
Using Project Management Techniques to Design a PMP Mathematics Study App for the Windows Universal Platform
Background
As a late comer to the smartphone market, Microsoft has fallen behind the Apple and Google app ecosystems in the quantity and quality of apps offered. To attract developer talent, Microsoft released the Universal Windows Platform which enables apps to run across Windows devices with few additional modifications. Although the Windows app ecosystem has realized an increased number of available apps, few apps related to project management are currently available.
About the project
This project will design a PMP Certification Mathematics Study App for the Universal Windows Platform which will serve as a reference and study aid for the PMP certification exam. The app will be available to mobile and PC users who are utilizing the Microsoft Windows 10 and Windows 8 operating systems. Features of the app will include project management formula lookup, formula flashcards, and practice problems. At the completion of the project, the app will be submitted to the Windows Store for review and publishing to the Windows 10 application ecosystem.
Approach
The project scope will include the design of the app from requirements gathering to completion. Project deliverables will be aligned with Windows store applications evaluation criteria for responsiveness, reliability, and style. This project will conclude with submission of a completed application design to the project sponsor.Title Page / Table of Contents / List of Exhibits / Abstract / Background / About the project / Approach / Keywords / Introduction / Project Purpose / Project Approach / Research and Analysis / Research Approach / Research Analysis / Application Design Rating Verification / Research Objective 1: Investigate the preferred learning style of potential users / Research Objective 1: Design Conclusions and Implications / Flashcards Module / Formula Builder Module / Formula Reference Module / Research Objective 2: Investigate the most important aspect of user satisfaction / Research Objective 2: Design Conclusions and Implications / Research Conclusions / Requirements Gathering / User Interface Design / Project Deliverable Design / ViTech CORE / Input Application Requirements / Identify Application Components / Identify Component Functions / Identify Use Cases and Test Activities / Project Deliverables / Application Design Documents / Application Hierarchy / Conclusions and Recommendations / ViTech CORE Software Con/ lusions / Graphing Capabilities / Diagnostics Capabilities / Requirements Mapping and Verification / Final Project Deliverables / Recommendations for Further Research and Development / Application Publishing / Further Development and Product Updates / User Feedback Collection / Application Update Opportunities / Application Expansion Opportunitie
An extensible product structure model for product lifecycle management in the make-to-order environment
This paper presents a product structure model with a semantic representation technique that make the product structure extensible for developing product lifecycle management (PLM) systems that is flexible for make-to-order environment. In the make-to-order business context, each product could have a number of variants with slightly different constitutions to fulfill different customer requirements. All the variants of a family have common characteristics and each variant has its specific features. A master-variant pattern is proposed for building the product structure model to explicitly represent common characteristics and specific features of individual variants. The model is capable of enforcing the consistency of a family structure and its variant structure, supporting multiple product views, and facilitating the business processes. A semantic representation technique is developed that enables entity attributes to be defined and entities to be categorized in a neutral and semantic format. As a result, entity attributes and entity categorization can be redefined easily with its configurable capability for different requirements of the PLM systems. An XML-based language is developed for semantically representing entities and entity categories. A prototype as a proof-of-concept system is presented to illustrate the capability of the proposed extensible product structure model
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