
180 Park Ave - Building 103
Florham Park, NJ
Subject matter expert in social media, social networking, collaboration technologies, data analytics (IVR, Web, agent), spoken dialog systems
Dr. Abella is Executive Director of the Innovative Services Research Department, where she manages a group of multi-disciplinary technical staff specializing in data mining, user interfaces, IPTV, mobile services, SIP/VoIP technology. In 2009 she was recognized by the Congressional Hispanic Caucus Institute for her contributions in the area of green technology. In 2008 she became a member of the elite group of AT&T Science and Technology Medal award winners. She was also a recipient of the 2008 Hispanic Engineers National Achievement Award for Outstanding Technical Achievement. Dr. Abella has helped serve to increase the pool of women and minorities in science by serving as Vice President of the Young Science Achievers Program and chair of the AT&T Labs Fellowship Committee. Dr. Abella holds a Ph.D. in computer science from Columbia University, a M.S. in computer science from Columbia University and a B.S. in computer science from New York University.
2010 Latinos in Information Sciences and Technology Association Leadership of the Year Award.
Hispanic Business Magazine's Top Five Women of the Year, 2010.
For contributions of Hispanic women to the business and their communities.
Pioneer Award (Women of Color STEM Conference), 2010.
For contributions to helping solve the educational challenges facing the Hispanic Community.
Recognition from Great Minds in STEM (TM), 2010.
For contributing to America's Science, Technology, Engineering, and Math heritage.
AT&T IP Achievement Award, 2009.
To recognize exceptional efforts made by an employee who assists in developing, protecting, or leveraging AT&T intellectual property.
HENAAC Award Winner in Science, Technology, Engineering and Mathematics, 2008.
Science & Technology Medal, 2008.
Honored for technical innovation and leadership in dialog engineering and analysis.
AT&T Labs Software Excellence Award, 2002.
Charles Thompson Mentoring Award, 2002.
AT&T Labs Research Excellence Award, 2001.
Recognition from Congressional Hispanic Caucus Institute.
With President Obama in attendence, Alicia Abella was recognized by the CHCI for her role in advancing green technology by developing long-distance collaboration tools.
CHI Scan (Computer Human Interaction Scan),
CHI Scan is a real-time, web-based tool for analyzing call data and customer information in IVR systems. An interactive interface makes it easy to locate events and access, filter, and compare data.
CoCITe – Coordinating Changes in Text,
CoCITe is a text mining tool for discovering and flagging unexpected word frequency changes that may be early indicators of serious events.
E4SS - ECharts for SIP Servlets,
E4SS (ECharts for SIP Servlets) is open-source software that allows the use of sophisticated finite-state machines to program SIP Servlets.
System And Method Of Dialog Trajectory Anaylsis,
Tue Dec 25 16:12:30 EST 2012
The invention comprises computer-readable media, methods and systems for performing a dialog analysis and using that analysis to release an updated spoken dialog system. The method embodiment of the invention comprises receiving data associated with dialogs, extracting turn by turn details of the dialog and generating from the extracted details an empirical call-flow representation of the dialog. The call data may be call-logs and user audio. The empirical call-flow representation may be a finite-state machine with nodes that represent call-states and the arcs between nodes represent user responses. Nodes may also represent sub-dialogs. The call-flow representation is presented graphically to a user for easier analysis and understanding. Significant changes in the dialog can be identified as hot-spots for improvement in the next release of the spoken dialog system.
Systems And Methods For Detecting And Coordinating Changes In Lexical Items,
Tue Sep 18 16:11:50 EDT 2012
Systems and methods for efficiently detecting and coordinating step changes, trends, cycles, and bursts affecting lexical items within data streams are provided. Data streams can be sourced from documents that can optionally be labeled with metadata. Changes can be grouped across lexical and/or metavalue vocabularies to summarize the changes that are synchronous in time. The methods described herein can be applied either retrospectively to a corpus of data or in a streaming mode.
Method for dialog management,
Tue Jul 22 18:12:57 EDT 2008
A spoken dialog system and method having a dialog management module are disclosed. The dialog management module includes a plurality of dialog motivators for handling various operations during a spoken dialog. The dialog motivators comprise an error handling, disambiguation, assumption, confirmation, missing information, and continuation. The spoken dialog system uses the assumption dialog motivator in either a-priori or a-posteriori modes. A-priori assumption is based on predefined requirements for the call flow and a-posteriori assumption can work with the confirmation dialog motivator to assume the content of received user input and confirm received user input.
Method for dialog management,
Tue Jan 23 18:11:50 EST 2007
A spoken dialog system and method having a dialog management module are disclosed. The dialog management module includes a plurality of dialog motivators for handling various operations during a spoken dialog. The dialog motivators comprise an error-handling, disambiguation, assumption, confirmation, missing information, and continuation. The spoken dialog system uses the assumption dialog motivator in either a-priori or a-posteriori modes. A-priori assumption is based on predefined requirements for the call flow and a-posteriori assumption can work with the confirmation dialog motivator to assume the content of received user input and confirm received user input.
System for dialog management,
Tue Nov 21 18:11:43 EST 2006
A spoken dialog system having a dialog management module is disclosed. The dialog management module includes a plurality of dialog motivators for handling various operations during a spoken dialog. The dialog motivators comprise error-handling, disambiguation, assumption, confirmation, missing information, and continuation. The spoken dialog system uses the assumption dialog motivator in either a-priori or a-posteriori modes. A-priori assumption is based on predefined requirements for the call flow and a-posteriori assumption can work with the confirmation dialog motivator to assume the content of received user input and confirm received user input.
Method and apparatus for generating sematically consistent inputs to a dialog manager,
Tue Feb 20 18:06:58 EST 2001
A spoken dialog system is constructed to sufficiently understand a user's response to the open-ended prompt `How may I help you?` in order to route a caller to an appropriate destination, with subsequent processing for information retrieval or call/task completion. In this invention the relationships among the call types are structured into an inheritance hierarchy. Then a dialog manager exploits this hierarchy and the output of a spoken language understanding module to generate a set of semantically consistent task objectives.
Methods and apparatus object-oriented rule-based dialogue management,
Tue Mar 28 18:05:31 EST 2000
An object-oriented dialogue manager is provided which allows a computer system or other dialogue processing system to conduct an efficient dialogue with a human user. In an illustrative embodiment, the dialogue manager processes a set of frames characterizing a subject of the dialogue, where each frame includes one or more properties that describe an object which may be referenced during the dialogue. A weight is assigned to each of the properties represented by the set of frames, such that the assigned weights indicate the relative importance of the corresponding properties. The dialogue manager utilizes the weights to determine which of a number of possible responses the system should generate based on a given user input received during the dialogue. The dialogue manager serves as an interface between the user and an application which is ruining on the system and defines the set of frames. The dialogue manager supplies user requests to the application, and processes the resulting responses received from the application. The dialogue manager uses the property weights to determine, for example, an appropriate question to ask the user in order to resolve ambiguities that may arise in execution of a user request in the application.
Alicia Abella delivers commencement address
Alicia Abella delivered the commencement speech at the University of Minnesota’s College of Science and Engineering, the first woman in the college's history to do so.
201105_Alicia_abella_commencement_speech_univ_of_minnesota
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Alicia Abella delivers commencement address
Alicia Abella delivered the commencement speech at the University of Minnesota’s College of Science and Engineering, the first woman in the college's history to do so.
201105_Alicia_abella_commencement_speech_univ_of_minnesota_copy
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Congressional Briefing: How the Hispanic Community will Define the Future of U.S. Competitiveness
Nextgenweb_how_US_hispanic_community_define_future.html
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