Kallirroi Georgila


2020

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Predicting Ratings of Real Dialogue Participants from Artificial Data and Ratings of Human Dialogue Observers
Kallirroi Georgila | Carla Gordon | Volodymyr Yanov | David Traum
Proceedings of the 12th Language Resources and Evaluation Conference

We collected a corpus of dialogues in a Wizard of Oz (WOz) setting in the Internet of Things (IoT) domain. We asked users participating in these dialogues to rate the system on a number of aspects, namely, intelligence, naturalness, personality, friendliness, their enjoyment, overall quality, and whether they would recommend the system to others. Then we asked dialogue observers, i.e., Amazon Mechanical Turkers (MTurkers), to rate these dialogues on the same aspects. We also generated simulated dialogues between dialogue policies and simulated users and asked MTurkers to rate them again on the same aspects. Using linear regression, we developed dialogue evaluation functions based on features from the simulated dialogues and the MTurkers’ ratings, the WOz dialogues and the MTurkers’ ratings, and the WOz dialogues and the WOz participants’ ratings. We applied all these dialogue evaluation functions to a held-out portion of our WOz dialogues, and we report results on the predictive power of these different types of dialogue evaluation functions. Our results suggest that for three conversational aspects (intelligence, naturalness, overall quality) just training evaluation functions on simulated data could be sufficient.

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Evaluation of Off-the-shelf Speech Recognizers Across Diverse Dialogue Domains
Kallirroi Georgila | Anton Leuski | Volodymyr Yanov | David Traum
Proceedings of the 12th Language Resources and Evaluation Conference

We evaluate several publicly available off-the-shelf (commercial and research) automatic speech recognition (ASR) systems across diverse dialogue domains (in US-English). Our evaluation is aimed at non-experts with limited experience in speech recognition. Our goal is not only to compare a variety of ASR systems on several diverse data sets but also to measure how much ASR technology has advanced since our previous large-scale evaluations on the same data sets. Our results show that the performance of each speech recognizer can vary significantly depending on the domain. Furthermore, despite major recent progress in ASR technology, current state-of-the-art speech recognizers perform poorly in domains that require special vocabulary and language models, and under noisy conditions. We expect that our evaluation will prove useful to ASR consumers and dialogue system designers.

2018

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Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing
Ramesh Manuvinakurike | Jacqueline Brixey | Trung Bui | Walter Chang | Doo Soon Kim | Ron Artstein | Kallirroi Georgila
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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DialEdit: Annotations for Spoken Conversational Image Editing
Ramesh Manuvirakurike | Jacqueline Brixey | Trung Bui | Walter Chang | Ron Artstein | Kallirroi Georgila
Proceedings 14th Joint ACL - ISO Workshop on Interoperable Semantic Annotation

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A Dialogue Annotation Scheme for Weight Management Chat using the Trans-Theoretical Model of Health Behavior Change
Ramesh Manuvirakurike | Sumanth Bharawadj | Kallirroi Georgila
Proceedings 14th Joint ACL - ISO Workshop on Interoperable Semantic Annotation

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Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario
Deepthi Karkada | Ramesh Manuvirakurike | Kallirroi Georgila
Proceedings 14th Joint ACL - ISO Workshop on Interoperable Semantic Annotation

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Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task
Ramesh Manuvinakurike | Trung Bui | Walter Chang | Kallirroi Georgila
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue

We present “conversational image editing”, a novel real-world application domain combining dialogue, visual information, and the use of computer vision. We discuss the importance of dialogue incrementality in this task, and build various models for incremental intent identification based on deep learning and traditional classification algorithms. We show how our model based on convolutional neural networks outperforms models based on random forests, long short term memory networks, and conditional random fields. By training embeddings based on image-related dialogue corpora, we outperform pre-trained out-of-the-box embeddings, for intention identification tasks. Our experiments also provide evidence that incremental intent processing may be more efficient for the user and could save time in accomplishing tasks.

2017

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Using Reinforcement Learning to Model Incrementality in a Fast-Paced Dialogue Game
Ramesh Manuvinakurike | David DeVault | Kallirroi Georgila
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue

We apply Reinforcement Learning (RL) to the problem of incremental dialogue policy learning in the context of a fast-paced dialogue game. We compare the policy learned by RL with a high-performance baseline policy which has been shown to perform very efficiently (nearly as well as humans) in this dialogue game. The RL policy outperforms the baseline policy in offline simulations (based on real user data). We provide a detailed comparison of the RL policy and the baseline policy, including information about how much effort and time it took to develop each one of them. We also highlight the cases where the RL policy performs better, and show that understanding the RL policy can provide valuable insights which can inform the creation of an even better rule-based policy.

2016

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New Dimensions in Testimony Demonstration
Ron Artstein | Alesia Gainer | Kallirroi Georgila | Anton Leuski | Ari Shapiro | David Traum
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations

2015

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Reinforcement Learning in Multi-Party Trading Dialog
Takuya Hiraoka | Kallirroi Georgila | Elnaz Nouri | David Traum | Satoshi Nakamura
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

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Which Synthetic Voice Should I Choose for an Evocative Task?
Eli Pincus | Kallirroi Georgila | David Traum
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

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Reinforcement Learning of Multi-Issue Negotiation Dialogue Policies
Alexandros Papangelis | Kallirroi Georgila
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

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Evaluating Spoken Dialogue Processing for Time-Offset Interaction
David Traum | Kallirroi Georgila | Ron Artstein | Anton Leuski
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue

2014

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Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)
Kallirroi Georgila | Matthew Stone | Helen Hastie | Ani Nenkova
Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)

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A Demonstration of Dialogue Processing in SimSensei Kiosk
Fabrizio Morbini | David DeVault | Kallirroi Georgila | Ron Artstein | David Traum | Louis-Philippe Morency
Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)

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Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies
Kallirroi Georgila | Claire Nelson | David Traum
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2013

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Reinforcement Learning of Two-Issue Negotiation Dialogue Policies
Kallirroi Georgila
Proceedings of the SIGDIAL 2013 Conference

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Verbal indicators of psychological distress in interactive dialogue with a virtual human
David DeVault | Kallirroi Georgila | Ron Artstein | Fabrizio Morbini | David Traum | Stefan Scherer | Albert Skip Rizzo | Louis-Philippe Morency
Proceedings of the SIGDIAL 2013 Conference

2012

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Reinforcement Learning of Question-Answering Dialogue Policies for Virtual Museum Guides
Teruhisa Misu | Kallirroi Georgila | Anton Leuski | David Traum
Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue

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Practical Evaluation of Human and Synthesized Speech for Virtual Human Dialogue Systems
Kallirroi Georgila | Alan Black | Kenji Sagae | David Traum
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The current practice in virtual human dialogue systems is to use professional human recordings or limited-domain speech synthesis. Both approaches lead to good performance but at a high cost. To determine the best trade-off between performance and cost, we perform a systematic evaluation of human and synthesized voices with regard to naturalness, conversational aspect, and likability. We vary the type (in-domain vs. out-of-domain), length, and content of utterances, and take into account the age and native language of raters as well as their familiarity with speech synthesis. We present detailed results from two studies, a pilot one and one run on Amazon's Mechanical Turk. Our results suggest that a professional human voice can supersede both an amateur human voice and synthesized voices. Also, a high-quality general-purpose voice or a good limited-domain voice can perform better than amateur human recordings. We do not find any significant differences between the performance of a high-quality general-purpose voice and a limited-domain voice, both trained with speech recorded by actors. As expected, the high-quality general-purpose voice is rated higher than the limited-domain voice for out-of-domain sentences and lower for in-domain sentences. There is also a trend for long or negative-content utterances to receive lower ratings.

2011

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An Annotation Scheme for Cross-Cultural Argumentation and Persuasion Dialogues
Kallirroi Georgila | Ron Artstein | Angela Nazarian | Michael Rushforth | David Traum | Katia Sycara
Proceedings of the SIGDIAL 2011 Conference

2010

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Learning Dialogue Strategies from Older and Younger Simulated Users
Kallirroi Georgila | Maria Wolters | Johanna Moore
Proceedings of the SIGDIAL 2010 Conference

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Cross-Domain Speech Disfluency Detection
Kallirroi Georgila | Ning Wang | Jonathan Gratch
Proceedings of the SIGDIAL 2010 Conference

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Practical Evaluation of Speech Recognizers for Virtual Human Dialogue Systems
Xuchen Yao | Pravin Bhutada | Kallirroi Georgila | Kenji Sagae | Ron Artstein | David Traum
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

We perform a large-scale evaluation of multiple off-the-shelf speech recognizers across diverse domains for virtual human dialogue systems. Our evaluation is aimed at speech recognition consumers and potential consumers with limited experience with readily available recognizers. We focus on practical factors to determine what levels of performance can be expected from different available recognizers in various projects featuring different types of conversational utterances. Our results show that there is no single recognizer that outperforms all other recognizers in all domains. The performance of each recognizer may vary significantly depending on the domain, the size and perplexity of the corpus, the out-of-vocabulary rate, and whether acoustic and language model adaptation has been used or not. We expect that our evaluation will prove useful to other speech recognition consumers, especially in the dialogue community, and will shed some light on the key problem in spoken dialogue systems of selecting the most suitable available speech recognition system for a particular application, and what impact training will have.

2009

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Using Integer Linear Programming for Detecting Speech Disfluencies
Kallirroi Georgila
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers

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Evaluating the Effectiveness of Information Presentation in a Full End-To-End Dialogue System
Taghi Paksima | Kallirroi Georgila | Johanna Moore
Proceedings of the SIGDIAL 2009 Conference

2008

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A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users’ Interactions with Spoken Dialogue Systems
Kallirroi Georgila | Maria Wolters | Vasilis Karaiskos | Melissa Kronenthal | Robert Logie | Neil Mayo | Johanna Moore | Matt Watson
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this paper we present a corpus of interactions of older and younger users with nine different dialogue systems. The corpus has been fully transcribed and annotated with dialogue acts and “Information State Update” (ISU) representations of dialogue context. Users not only underwent a comprehensive battery of cognitive assessments, but they also rated the usability of each dialogue system on a standardised questionnaire. In this paper, we discuss the corpus collection and outline the semi-automatic methods we used for discourse-level annotations. We expect that the corpus will provide a key resource for modelling older people’s interaction with spoken dialogue systems.

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Hybrid Reinforcement/Supervised Learning of Dialogue Policies from Fixed Data Sets
James Henderson | Oliver Lemon | Kallirroi Georgila
Computational Linguistics, Volume 34, Number 4, December 2008

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Simulating the Behaviour of Older versus Younger Users when Interacting with Spoken Dialogue Systems
Kallirroi Georgila | Maria Wolters | Johanna Moore
Proceedings of ACL-08: HLT, Short Papers

2006

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An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-Filling in the TALK In-car System
Oliver Lemon | Kallirroi Georgila | James Henderson | Matthew Stuttle
Demonstrations

2005

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Quantitative Evaluation of User Simulation Techniques for Spoken Dialogue Systems
Jost Schatzmann | Kallirroi Georgila | Steve Young
Proceedings of the 6th SIGdial Workshop on Discourse and Dialogue

2004

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A graphical Tool for Handling Rule Grammars in Java Speech Grammar Format
Kallirroi Georgila | Nikos Fakotakis | George Kokkinakis
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

2000

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A Graphical Parametric Language-Independent Tool for the Annotation of Speech Corpora
Kallirroi Georgila | Nikos Fakotakis | George Kokkinakis
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)