This course focuses on the essential tasks of generating a fully functional Web-based
You can run the generated applications using any Oracle Web server, however because
we have built the course using WebDB, any references to a Web server are based on
this product.You learned the basic uses of Oracle Designer in First Class.
Many current sentence generators lack the ability to compute elliptical versions of coordinated clauses in accordance with the rules for Gapping, Forward and Backward Conjunction Reduction, and SGF (Subject Gap in clauses with Finite/Fronted verb). We describe a module (implemented in JAVA, with German and Dutch as target languages) that takes non-elliptical coordinated clauses as input and returns all reduced versions licensed by coordinative ellipsis. l
~V~IKEis an automatic commentary system that generates a commentary of a simulated soccer game in English, French, or Japanese. One of the major technical challenges involved in live sports commentary is the reactive selection of content to describe complex, rapidly unfolding situation. To address this challenge, MIKE employs importance scores that intuitively capture the amount of information communicated to the audience.
This paper idescribes the current state of the S~/~gYN project , whose goal is be develop a module for generation of German from a semantic representation. The first application of this module is within the framework of a Japanese/German machine translation project. The generation process is organized into three stages that use distinct knowledge sources. ~ne first stage is conceptually oriented and language independent, and exploits case and concept schemata.
In this module, students will learn how to create simple multidimensional
expression (MDX) query statements that generate a report. Students will learn
the terminology that is used to create a query, and then they will be introduced
to an interface that can be used to process a query and create a report. Finally,
students will learn about different types of simple query statements and how to
This module describes how most XML documents are generated dynamical
from another data source such as a database. An animation is provided on th
Overview slide to describe the overall purpose of the module.
The first part of the module introduces Active Server Pages (ASP). The
coverage is by no means comprehensive; the aim is to present enough
information about ASP to allow students to complete the lab, rather than to
provide an in-depth introduction to ASP.
In this lesson, participants learn what validation means. This lesson defines
validation and describes its range of application. Participants learn how to
identify DTDs and XDR schemas. One of the objectives of this lesson is
for participants to be able to recognize DTDs and XDR schemas, and to a
lesser extent read them. Participants do not need to know how to generate a
DTD or an XDR schema, only to recognize one and to a limited extent, to
In BWR’s steam bubbles have a negative steam bubbles have a negative reactivity feedback, if the steam fraction reactivity feedback, if the steam fraction increases in the core the reactor power increases in the core the reactor power
Part of the criticism on the A&O stemmed from a study by the Government Accountability Office
(GAO) on costs associated with administering the crop insurance program.
In 2009, GAO
concluded that the structure of A&O reimbursements “present[s] an opportunity to reduce
government spending without compromising the crop insurance program’s safety net for
farmers.” According to GAO, the method for calculating the A&O reimbursement should be
redesigned to better reflect reasonable business expenses, in terms of dollars per policy, rather
than crop prices.
Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete with hand-crafted template-based or rulebased approaches. In this paper We experimentally evaluate a trainable sentence planner for a spoken dialogue system by eliciting subjective human judgments.
We compare the phenomena of clausal coordinate ellipsis in Estonian, a Finno-Ugric language, and German, an Indo-European language. The rules underlying these phenomena appear to be remarkably similar. Thus, the software module ELLEIPO, which was originally developed to generate clausal coordinate ellipsis in German and Dutch, works for Estonian as well. In order to extend ELLEIPO’s coverage to Estonian, we only had to adapt the lexicon and some syntax rules unrelated to coordination.
The RAGS proposals for generic speciﬁcation of NLG systems includes a detailed account of data representation, but only an outline view of processing aspects. In this paper we introduce a modular processing architecture with a concrete implementation which aims to meet the RAGS goals of transparency and reusability. We illustrate the model with the RICHES system – a generation system built from simple linguisticallymotivated modules.
This paper describes the NECA MNLG; a fully implemented Multimodal Natural Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues between animated agents. The generation module supports the seamless integration of full grammar rules, templates and canned text. The generator takes input which allows for the specification of syntactic, semantic and pragmatic constraints on the output.
Suregen-2 applications are intended for use as add-on modules for clinical information systems. Currently, Suregen-2 permits refinement of the predefined medical ontology, specification of text plans and description knowledge for objects of the ontology. It has built-in constructs for referential expressions, aggregation, enumeration and recurrent semantic constellations. A first application built with Suregen-2, which currently supports German only, is in routine use.
The paper presents some of the results obtained within a research project aimed at developing ET (English Tutor), an intelligent tutoring system which supports Italian students in learning the English verbs. We concentrate on one of the most important modules of the system, the domain (i.e. verb) expert which is devoted to generate, in a cognitively transparent way, the right tense for the verb(s) appearing in the exercises presented to the student. An example which highlights the main capabilities of the verb expert is provided. A prototype version of ET has been fully implemented. ...
This article constitutes a search for a people-oriented approach to encouraging environmentally responsible behavior. It attempts to provide a source of motivations, reduce the corrosive sense of helplessness, and generate solutions to environmental problems that do not undermine the quality of life of the people who are affected.
In this paper we introduce the total specialization of an finitely generated module over local ring. This total specialization preserves the Cohen-Macaulayness, the Gorensteiness and Buchsbaumness of a module. The length and multiplicity of a module are studied.
1. Introduction Given an object defined for a family of parameters u = (u1, . . . , um ) we can often substitute u by a family α = (α1, . . . , αm) of elements of an infinite field K to obtain a similar object which is called a specialization. The new object usually behaves like the given object...
Speaker’s intention prediction modules can be widely used as a pre-processor for reducing the search space of an automatic speech recognizer. They also can be used as a preprocessor for generating a proper sentence in a dialogue system. We propose a statistical model to predict speakers’ intentions by using multi-level features. Using the multi-level features (morpheme-level features, discourselevel features, and domain knowledge-level features), the proposed model predicts speakers’ intentions that may be implicated in next utterances. ...
Pipelined Natural Language Generation (NLG) systems have grown increasingly complex as architectural modules were added to support language functionalities such as referring expressions, lexical choice, and revision. This has given rise to discussions about the relative placement of these new modules in the overall architecture. Recent work on another aspect of multi-paragraph text, discourse markers, indicates it is time to consider where a discourse marker insertion algorithm ﬁts in.
On chemokine stimulation, leucocytes produce and secrete
proteolytic enzymes for innate immunedefencemechanisms.
Some of these proteasesmodify the biological activity of the
chemokines. For instance, neutrophils secrete gelatinase B
(matrix metalloproteinase-9, MMP-9) and neutrophil col-lagenase (MMP-8) after stimulation with interleukin-8/
CXCL8 (IL-8). Gelatinase B cleaves and potentiates IL-8,
generating a positive feedback.