3,311 research outputs found
Spoken content retrieval: A survey of techniques and technologies
Speech media, that is, digital audio and video containing spoken content, has blossomed in recent years. Large collections are accruing on the Internet as well as in private and enterprise settings. This growth has motivated extensive research on techniques and technologies that facilitate reliable indexing and retrieval. Spoken content retrieval (SCR) requires the combination of audio and speech processing technologies with methods from information retrieval (IR). SCR research initially investigated planned speech structured in document-like units, but has subsequently shifted focus to more informal spoken content produced spontaneously, outside of the studio and in conversational settings. This survey provides an overview of the field of SCR encompassing component technologies, the relationship of SCR to text IR and automatic speech recognition and user interaction issues. It is aimed at researchers with backgrounds in speech technology or IR who are seeking deeper insight on how these fields are integrated to support research and development, thus addressing the core challenges of SCR
Interactive Multimedia Explanation for Equipment Maintenance and Repair
COMET (COordinated Multimedia Explanation Testbed) is a research system that we are developing to explore the coordinated generation of multimedia explanations of equipment maintenance and repair procedures. The form and content of all material presented is generated interactively, with an emphasis on coordinating multiple media to allow cross-references between media and to make possible display layout that reflects the fine-grain relationships among the material presented. COMET's architecture includes multiple static and dynamic knowledge sources, a content planner, a media coordinator, media generators (currently text and graphics), and a media layout manager. Examples are given of the kinds of material processed and produced by each of the components
Extending and Evaluating a Platform for Story Understanding
We summarize recent developments in our platform for symbolically representing and reasoning over human narratives. The expressive range of the system is bolstered by the infusion of a large library of knowledge frames, including verbs, adjectives, nouns and adverbs,
from external linguistic resources. Extensions to the model itself include alternate timelines (imagined states for goals, plans, beliefs and other modalities), hypotheticals, modiďŹers and connections between instantiated frames such as causality. We describe a corpus collection experiment that evaluates the usability of the graphical encoding interface, and measure the inter-annotator agreement yielded by our novel representation and tool
Adolescent outgroup helping, collective action, and political activism in a setting of protracted conflict
This article examines the role of empathy for outgroup helping, collective action and political activism among youth in Northern Ireland, a setting of protracted conflict. Integrating the Empathy-Attitudes-Action model with the Developmental Peacebuilding Model, a two-wave study was conducted to assess youthâs behavioural intentions and actual behaviours toward refugees. Across two waves (Nâ=â383, 52 % male, 48 % female; 14â16âyears old), empathy at Time 1 predicted more positive attitudes toward ethnic minorities at Time 2, which in turn was positively related to four outcomes aiming to foster prosocial change for refugees: helping behaviour and realistic helping at the interpersonal level, collective action intentions at the structural level, and signing a petition aiming for cultural change. That is, outgroup attitudes mediated the link from empathy to three types of prosocial action toward refugees. The findings suggest that youth not only volunteer to help an individual outgroup member, but also support broader structural and cultural change that will benefit those they may never meet. Implications for recognising and supporting the constructive agency of youth toward disadvantaged groups in conflict settings are discussed
Perceived teacher support, collective efficacy in school, and constructive engagement among youth in a conflict-affected society
In conflict-affected societies, teachers are critical to supporting positive youth development and encouraging constructive societal contributions. The present research examined the role of perceived teacher support on youth collective efficacy in school and implications for constructive engagement. Recruited through their schools as part of a larger study, 395 youth (aged 15-16, evenly split by religion and gender) completed survey measures of perceived teacher support, collective efficacy in school, and two constructs assessing constructive engagement: nonviolent strategies to manage conflict and collective action for refugees. To test the effects of teacher support on constructive engagement through collective efficacy, bootstrapped mediation analysis was conducted. Collective efficacy in school mediated the link between perceived teacher support and youthâs nonviolent strategies and collective action. Findings highlight the importance of teacher support and collective efficacy in promoting constructive engagement. Implications for teacher training and interventions that aim to engage youth in society are discussed
Coordinating Text and Graphics in Explanation Generation
To generate multimedia explanations, a system must be able to coordinate the use of different media in a single explanation. In this paper, we present an architecture that we have developed for COMET (COordinated Multimedia Explanation Testbed), a system that generates directions for equipment maintenance and repair, and we show how it addresses the coordination problem. In particular, we focus on the use of a single content planner that produces a common content description used by multiple media-specific generators, a media coordinator that makes a f'me-grained division of information between media, and bidirectional interaction between media-specific generators to allow influence across media.
High Sensitivity Search for v_eâs from the Sun and Other Sources at KamLAND
Data corresponding to a KamLAND detector exposure of 0.28 kton yr has been used to search for νĚ
_eâs in the energy range 8.3 < E_(νĚ
e) < 14.8ââMeV. No candidates were found for an expected background of 1.1Âą0.4 events. This result can be used to obtain a limit on νĚ
_e fluxes of any origin. Assuming that all νĚ
_e flux has its origin in the Sun and has the characteristic ^8B solar ν_e energy spectrum, we obtain an upper limit of 3.7Ă10^2ââcm^(-2)â^(s-1) (90% C.L.) on the νĚ
_e flux. We interpret this limit, corresponding to 2.8Ă10^(-4) of the standard solar model ^8B ν_e flux, in the framework of spin-flavor precession and neutrino decay models
Observation of Parity Nonconservation in Møller Scattering
We report a measurement of the parity-violating asymmetry in fixed target electron-electron (Møller) scattering: A_(PV) = [-175 Âą 30(stat)Âą 20(syst)] X 10^(-9). This first direct observation of parity nonconservation in Møller scattering leads to a measurement of the electronâs weak charge at low energy Q^e_W = -0:053 Âą 0:011. This is consistent with the standard model expectation at the current level of precision: sin^2θ_W = (M_Z)_(MS) = 0:2293 Âą 0:0024(stat) Âą 0:0016(syst) Âą 0:0006(theory)
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Can Automatic Post-Editing Make MT More Meaningful?
Automatic post-editors (APEs) enable the re-use of black box machine translation (MT) systems for a variety of tasks where different aspects of translation are important. In this paper, we describe APEs that target adequacy errors, a critical problem for tasks such as cross-lingual question-answering, and compare different approaches for post-editing: a rule-based system and a feedback approach that uses a computer in the loop to suggest improvements to the MT system. We test the APEs on two different MT systems and across two different genres. Human evaluation shows that the APEs signiďŹcantly improve adequacy, regardless of approach, MT system or genre: 30-56% of the post-edited sentences have improved adequacy compared to the original MT
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