OM DENNE EPISODE
Clarification in Spoken Dialogue Systems such as in mobile applications often consists of simple requests to “Please repeat” or “Please rephrase” when the system fails to understand a word or phrase. However, human-human dialogues rarely include such questions. When humans ask for clarification of user input such as “I want to travel on XXX”, they typically use targeted clarification questions, such as “When do you want to travel?” However, systems frequently make mistakes when they try to behave more like humans, sometimes asking inappropriate clarification questions. We present research on more human-like clarification behavior based on a series of crowd-sourcing experiments whose results are implemented in a speech-to-speech translation system. We also describe strategies for detecting when our system has asked the ‘wrong’ question of a user, based upon features of the user’s response.
Julia Hirschberg is Percy K. and Vida L. W. Hudson Professor of Computer Science and Chair of the Computer Science Department at Columbia University. She worked at Bell Laboratories and AT&T Laboratories -- Research from 1985-2003 as a Member of Technical Staff and a Department Head, creating the Human-Computer Interface Research Department in 1994. She served as editor-in-chief of Computational Linguistics from 1993-2003 and co-editor-in-chief of Speech Communication from 2003-2006. She served on the Executive Board of the Association for Computational Linguistics (ACL) from 1993-2003, on the Permanent Council of International Conference on Spoken Language Processing (ICSLP) since 1996, and on the board of the International Speech Communication Association (ISCA) from 1999-2007 (as President 2005-2007); she has served on the CRA Executive Board (2013-14). She now serves on the IEEE Speech and Language Processing Technical Committee, the Association for the Advancement of Artificial Intelligence (AAAI) Council, the Executive Board of the North American ACL, and the board of the CRA-W. She has been an AAAI fellow since 1994, an ISCA Fellow since 2008, and a (founding) ACL Fellow since 2011, and was elected to the American Philosophical Society in 2014. She is a winner of the IEEE James L. Flanagan Speech and Audio Processing Award (2011) and the ISCA Medal for Scientific Achievement (2011).
Julia Hirschberg is Percy K. and Vida L. W. Hudson Professor of Computer Science and Chair of the Computer Science Department at Columbia University. She worked at Bell Laboratories and AT&T Laboratories -- Research from 1985-2003 as a Member of Technical Staff and a Department Head, creating the Human-Computer Interface Research Department in 1994. She served as editor-in-chief of Computational Linguistics from 1993-2003 and co-editor-in-chief of Speech Communication from 2003-2006. She served on the Executive Board of the Association for Computational Linguistics (ACL) from 1993-2003, on the Permanent Council of International Conference on Spoken Language Processing (ICSLP) since 1996, and on the board of the International Speech Communication Association (ISCA) from 1999-2007 (as President 2005-2007); she has served on the CRA Executive Board (2013-14). She now serves on the IEEE Speech and Language Processing Technical Committee, the Association for the Advancement of Artificial Intelligence (AAAI) Council, the Executive Board of the North American ACL, and the board of the CRA-W. She has been an AAAI fellow since 1994, an ISCA Fellow since 2008, and a (founding) ACL Fellow since 2011, and was elected to the American Philosophical Society in 2014. She is a winner of the IEEE James L. Flanagan Speech and Audio Processing Award (2011) and the ISCA Medal for Scientific Achievement (2011).
Engelsk
USA
UDSKRIFT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SØG BLANDT TIDLIGERE EPISODER
Søg efter gamle afsnit af Human Language Technology Lecture Series.
ANDRE EPISODE I DENNE PODCAST
What effect does language have on people, and what effect do people have on language?
You might say in response, "Who are you to discuss these problems?" and you would be right to do so; these are Major Questions that science has been tackling for many years. But as a field, I think natural langua…
The confluence of sensing, communication and computing technologies is allowing capture and access to data, in diverse forms and modalities, in ways that were unimaginable even a few years ago. These include data that afford the analysis and interpretation of multimodal cues of verbal and non-verba…
Human-like Singing and Talking Machines: Flexible Speech Synthesis in Karaoke, Anime, Smart Phones, Video Games, Digital Signage, TV and Radio Programs
This talk will give an overview of statistical approach to flexible speech synthesis. For constructing human-like talking machines, speech synthes…
Automatically extracting social meaning from language is one of the most exciting challenges in natural language understanding. In this talk I’ll summarize a number of recent results using the tools of natural language processing to help extract and understand social meaning from texts of different…
Ansvarsfraskrivelse: Podcasten og kunstværket, der er indlejret på denne side, er fra MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), som tilhører dens ejer og ikke er tilknyttet eller godkendt af Listen Notes, Inc.
REDIG
Tak fordi du hjælper med at holde podcast-databasen opdateret.