This paper describes initial work on Deep Read, an automated reading comprehension system that accepts arbitrary text input (a story) and answers questions about it. We have acquired a corpus of 60 development and 60 test stories of 3rd to 6 th grade material; each story is followed by short-answer questions (an answer key was also provided).
In this paper, we present a simple and effective method to address the issue of how to generate diversified translation systems from a single Statistical Machine Translation (SMT) engine for system combination. Our method is based on the framework of boosting. First, a sequence of weak translation systems is generated from a baseline system in an iterative manner.
We use machine learners trained on a combination of acoustic conﬁdence and pragmatic plausibility features computed from dialogue context to predict the accuracy of incoming n-best recognition hypotheses to a spoken dialogue system. Our best results show a 25% weighted f-score improvement over a baseline system that implements a “grammar-switching” approach to context-sensitive speech recognition.
This document provides guidance on how to design a local area network (LAN) for a Business Ready
Branch or autonomous Business Ready Office where corporate services such as voice, video, and data
are converged onto a single office network.
This document provides an overview of LAN architecture. Because of the numerous combinations of
features, platforms, and customer requirements that make up an office design, this version of the design
guide focuses on various LAN design discussions for voice and data services without making specific
This paper presents a probabilistic framework, QARLA, for the evaluation of text summarisation systems. The input of the framework is a set of manual (reference) summaries, a set of baseline (automatic) summaries and a set of similarity metrics between summaries. It provides i) a measure to evaluate the quality of any set of similarity metrics, ii) a measure to evaluate the quality of a summary using an optimal set of similarity metrics, and iii) a measure to evaluate whether the set of baseline summaries is reliable or may produce biased results. ...
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 present a novel approach to Information Presentation (IP) in Spoken Dialogue Systems (SDS) using a data-driven statistical optimisation framework for content planning and attribute selection. First we collect data in a Wizard-of-Oz (WoZ) experiment and use it to build a supervised model of human behaviour. This forms a baseline for measuring the performance of optimised policies, developed from this data using Reinforcement Learning (RL) methods.
Individual utterances often serve multiple communicative purposes in dialogue. We present a data-driven approach for identiﬁcation of multiple dialogue acts in single utterances in the context of dialogue systems with limited training data. Our approach results in signiﬁcantly increased understanding of user intent, compared to two strong baselines.
This paper deals with the task of ﬁnding generally applicable substitutions for a given input term. We show that the output of a distributional similarity system baseline can be ﬁltered to obtain terms that are not simply similar but frequently substitutable. Our ﬁlter relies on the fact that when two terms are in a common entailment relation, it should be possible to substitute one for the other in their most frequent surface contexts.
Operating systems and software are written to be functional and easy to use and install. Otherwise vendors will have a hard time selling them ;-)
Unfortunately they generally come configured insecure (or less secure that possible) out of the box.
There are two important terms we need to understand in regards to securing systems out of the box.
This paper is from the SANS Institute Reading Room site. Reposting is not permitted without express written permission.
Information Security Policy - A Development Guide for Large and Small Companies
A security policy should fulfill many purposes.
Water-quality engineering is a specialty area in environmental engineering that includes
the subspecialties of water treatment, wastewater treatment, and water-quality control in
natural systems. This textbook is intended to encompass the latter subspecialty, and the
content of this book constitutes baseline knowledge expected of water-quality engineers
Challenges to sustaining the productivity of oceanic and coastal fisheries
have become more critical and complex as these fisheries reach the upper
limits to ocean harvests. In addition, it is now clear that we are managing
interactive and dynamic food webs rather than sets of independent single-species
The Current State and Trends assessment presents the findings of
the Condition and Trends Working Group of the Millennium
Ecosystem Assessment. This volume documents the current condition
and recent trends of the world’s ecosystems, the services
they provide, and associated human well-being around the year
2000. Its primary goal is to provide decision-makers, ecosystem
managers, and other potential users with objective information
and analyses of historical trends and dynamics of the interaction
between ecosystem change and human well-being.
Buses and other fleet vehicles are the perfect avenue to introduce fuel cell power plants into the marketplace. Because the vehicles return to a central station each night, they can fill up with hydrogen without the need for an extended hydrogen infrastructure.
We are pleased with how our fuel cell power system has performed during revenue service in buses in California, Connecticut, and Belgium. Our customers have been impressed with the performance and fuel efficiency of the power plants, and passengers enjoy the comfortable, quiet, and odor-free ride of the bus.
We next turn to comparisons between the US and other countries in the Second Great
Contraction. The simplest of cross-country comparisons involves dividing the post-2007 crisis
experience into two batches, those countries that experienced systemic banking crises and those
that had milder borderline problems in their financial sector (which does not preclude them from
having other serious “varieties” of crises, notably fiscal in this case.)
This applies the same
criteria as Reinhart and Rogoff (2008).
Second, we reestimate our baseline specification while adding control variables, ranging
from initial fiscal and current account balances to initial bank credit risk and household debt
levels. These could plausibly have both affected the growth forecast error and been correlated
with fiscal consolidation forecasts. Not controlling for such factors could influence the
estimated relation between fiscal consolidation forecasts and growth forecast errors. We find,
however, that our results are robust to the introduction of such controls.
We start by considering the role of sovereign debt problems. Are the baseline results picking
up greater-than-expected effects of sovereign debt problems rather than the effects of fiscal
consolidation? As Table 2 reports, the results are robust to controlling for the initial (end-
2009) government-debt-to-GDP ratio, for the initial fiscal-balance-to-GDP ratio, and for the
initial structural fiscal-balance-to-GDP ratio.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Factors that influenced county system leaders to implement an evidence-based program: a baseline survey within a randomized controlled trial