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Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data
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In: DTIC (2011)
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Phonologically-Based Biomarkers for Major Depressive Disorder
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In: DTIC (2011)
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Conversation thread extraction and topic detection in text-based chat
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Mobile Text Messaging and Connectedness within Close Interpersonal Relationships ...
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Mobile Text Messaging and Connectedness within Close Interpersonal Relationships
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Everyday Heroes: Summer Adventures ; Siempre Héroes: Aventuras del Verano
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Application of shifted delta cepstral features for GMM language identification
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Impact of Culture on Breast Cancer Screening in Chinese American Women
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In: DTIC (2005)
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Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
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In: DTIC (2004)
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Dialogue Management for an Automated Multilingual Call Center
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In: DTIC (2003)
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Abstract:
The AMITIES project (Automated Multilingual Interaction with Information and Services) has been established under joint funding from the European Commission's 5th Framework Program and the U.S. DARPA to develop the next generation of empirically-induced human-computer interaction capabilities in spoken language. One of the central goals of this project is to create a dialogue management system capable of engaging the user in human-like conversation within a specific domain. The domain we selected is telephone-based customer service where the system has access to an appropriate information database to support callers information needs. Our objective is to automate at least some of the more mundane human functions in customer service call centers, but do so in a manner that is maximally responsive to the customer. This practically eliminates all prompt or menu based voice response systems used at commercial call centers today. Exploiting the corpus of hundreds (and soon to be thousands) of annotated dialogues, recorded at European financial call centers, we have developed a call triaging prototype for financial services domain. This demonstrator system handles the initial portion of a customer call: identifying the customer (based on a sample customer database) and determining the reason the customer is calling (based on a subset of transactions handled at the call center). Our approach to dialogue act semantics allows for mixed system/customer initiative and spontaneous conversation to occur. We are currently extending this prototype beyond its triage role to negotiate and execute the transactions requested by the customers, ranging from simple address changes to more complex account payment transactions. The aim of AMITIES project is to build a large-scale, empirical system using data-driven design, derived from actual and purposeful (i.e., not acted or contrived) human-to-human dialogues. The prototype described here has not been empirically validated yet. ; Presented at the Human Language Technology Conference-North American Chapter of the Association for Computational Linguistics (HLT-NAACL) 2003 Workshop on Research Directions in Dialog Processing, held in Edmonton, Canada in Jun 2003. Pub. in the Proceedings of the Human Language Technology Conference-North American Chapter of the Association for Computational Linguistics (HLT-NAACL) 2003 Workshop on Research Directions in Dialog Processing, v7 p10-12, 2003. Paper W03-0704. The original document contains color images.
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Keyword:
*CALL CENTERS; *CUSTOMER SERVICES; *DATA BASES; *DIALOGUE MANAGEMENT; *INFORMATION CENTERS; *MAN COMPUTER INTERFACE; *MANAGEMENT PLANNING AND CONTROL; *VOICE COMMUNICATIONS; AMITES PROJECT; AMITES(AUTOMATED MULTILINGUAL INTERACTION WITH INFORMATION AND SERVICES); AUTOMATION; Computer Systems; DIALOGUE MANAGER; Human Factors Engineering & Man Machine System; INFORMATION RETRIEVAL; MULTILINGUAL; SEMANTICS; SYMPOSIA; TELEPHONE LINES; Voice Communications
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URL: http://www.dtic.mil/docs/citations/ADA460629 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460629
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Danish Gallup Omnibus Data 1986, Omnibus no. 16 ... : Danish Gallup Omnibus Data 1986, Omnibus no. 16 ...
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Integration of dialogue moves and speech recognition in a telephone scenario
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Jupiter: A Telephone-Based Conversational Interface for Weather Information
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In: http://www.sls.lcs.mit.edu/sls/publications/2000/IEEE-jupiter.ps.gz (2000)
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Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
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In: DTIC (2000)
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Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification
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In: DTIC (2000)
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Language Identification Through Parallel Phone Recognition.
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In: DTIC AND NTIS (1995)
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Multimedia and Audience: Implications for Executive Summaries
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In: DTIC (1995)
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Multiple Approaches to Robust Speech Recognition
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In: DTIC (1992)
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A Performance Evaluation of Text Analysis Technologies
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In: http://ciir.cs.umass.edu/info/psfiles/tepubs/aimag.ps (1991)
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