Keynotes

• 
  David Nahamoo: Speech Technology Opportunities and Challenges. 1
• 
  Kevin Knight: No More Strings, please. 2

Invited Tutorials

• 
  John Makhoul: Information Extraction from speech. 3
• 
  Dragomir R. Radev: Graph-Based Methods for Language Processing and Information Retrieval. 4
• 
  Dan I. Moldovan: Voice-activated Question Answering. 5
• 
  Michael F. McTear: Spoken Language Understanding for Conversational Dialog Systems. 6
• 
  Mike Phillips: Applications of spoken Language Technology and Systems. 7

Keynote

• 
  Steve Young: Using POMDPs for Dialog Management. 8-13

Invited Tutorials

• 
  Hervé Bourlard: Understanding and Modeling Communication Scenes. 14
• 
  Srinivas Bangalore: Widening the NLP Pipeline for spoken Language Processing. 15
• 
  Sadaoki Furui: Recent Advances in Automatic speech Summarization. 16-21

Information Extraction and Retrieval

• 
  Alex Park, James R. Glass: A Novel DTW-Based Distance Measure for speaker Segmentation. 22-25
• 
  Sheng-yi Kong, Lin-Shan Lee: Improved Summarization of Chinese spoken Documents by Probabilistic Latent Semantic Analysis (PLSA) with Further Analysis and Integrated Scoring. 26-29
• 
  Ken Sadohara, Shi-wook Lee, Hiroaki Kojima: Domain-Independent Topic Segmentation Using a String Kernel on Recognized Sub-Word Sequences. 30-33
• 
  Shingo Togashi, Masaru Yamaguchi, Seiichi Nakagawa: Summarization of spoken Lectures Based on Linguistic Surface and prosodic Information. 34-37
• 
  Yi-Cheng Pan, Lin-Shan Lee: Simulation Analysis for Interactive Retrieval of spoken Documents with Key Terms Ranked by Reinforcement Learning. 38-41
• 
  Kishan Thambiratnam, Frank Seide, Peng Yu: Discriminatively Trained spoken Document Similarity Models and their Application to Probabilistic Latent Semantic Analysis. 42-45
• 
  Jorge Silva, Ciprian Chelba, Alex Acero: Integration of Metadata in spoken Document Search Using Position Specific Posterior latices. 46-49
• 
  Qin Gao, Xiaojun Lin, Xihong Wu: Just-in-Time Latent Semantic Adaptation on Language Model for Chinese speech Recognition Using Web Data. 50-53
• 
  Jason M. Brenier, Ani Nenkova, Anubha Kothari, Laura Whitton, David Beaver, Dan Jurafsky: The (Non)Utility of Linguistic Features for Predicting prominence in spontaneous speech. 54-57
• 
  Dustin Hillard, Zhongqiang Huang, Heng Ji, Ralph Grishman, Dilek Hakkani-Tür, Mary P. Harper, Mari Ostendorf, Wen Wang: Impact of Automatic Comma Prediction on POS/Name Tagging of speech. 58-61
• 
  Emilio Sanchis, Davide Buscaldi, Sergio Grau, Lluís F. Hurtado, David Griol: Spoken QA Based on a Passage Retrieval Engine. 62-65

Spoken Language Understanding

• 
  Minwoo Jeong, Gary Geunbae Lee: Jointly Predicting Dialog Act and Named Entity for spoken Language Understanding. 66-69
• 
  Daan Verbree, Rutger Rienks, Dirk Heylen: Dialogue-Act Tagging Using Smart Feature Selection; Results on Multiple Corpora. 70-73
• 
  Vivek Kumar Rangarajan Sridhar, Shrikanth Narayanan, Srinivas Bangalore: Acoustic-Syntactic Maximum Entropy Model for Automatic prosody Labeling. 74-77
• 
  Fabrice Lefevre: A DBN-Based Multi-Level Stochastic spoken Language Understanding System. 78-81
• 
  Frédéric Béchet, Géraldine Damnati, Nathalie Camelin, Renato de Mori: Spoken Opinion Extraction for Detecting Variations in User Satisfaction. 82-85
• 
  Elias Iosif, Athanasios Tegos, Apostolos Pangos, Eric Fosler-Lussier, Alexandros Potamianos: Unsupervised Combination of Metrics for Semantic Class Induction. 86-89
• 
  William P. McNeill, Jeremy G. Kahn, Dustin Hillard, Mari Ostendorf: Parse Structure and Segmentation for Improving speech Recognition. 90-93
• 
  Gökhan Tür, Ümit Güz, Dilek Hakkani-Tür: Model Adaptation for Dialog Act Tagging. 94-97
• 
  Pei-yun Hsueh, Johanna D. Moore: Automatic Topic Segmentation and Labeling in Multiparty Dialogue. 98-101
• 
  Sébastien Cuendet, Dilek Hakkani-Tür, Gökhan Tür: Model Adaptation for Sentence Segmentation from speech. 102-105
• 
  George Saon, Bhuvana Ramabhadran, Geoffrey Zweig: On the Effect Ofword Error Rate on Automated Quality Monitoring. 106-109
• 
  Greg Nicholas, Mihai Rotaru, Diane J. Litman: Exploiting Word-level Features for Emotion Prediction. 110-113

Spoken and Multimodal Dialog Systems and Applications

• 
  Neil Joshi, Ling Guan: Missing data ASR with fusion of features and combination of recognizers. 114-117
• 
  Petra Gieselmann, Prisca Stenneken: Communication with Robots: Evidence from a Web-Based Experiment on Human-Computer Interaction. 118-121
• 
  Mikel Peñagarikano, Germán Bordel, Luis Javier Rodríguez: Unified Training of Wfsa through a Generic Interface. 122-125
• 
  Nobuaki Minematsu, Satoshi Asakawa, Keikichi Hirose: Structural Representation of the pronunciation and its Use for Call. 126-129
• 
  Alexander Gruenstein, Stephanie Seneff: Context-Sensitive Language Modeling for Large Sets of Proper Nouns in Multimodal Dialogue Systems. 130-133
• 
  Guillermo Pérez, J. Gabriel Amores, Pilar Manchón Portillo: A Multimodal Architecture for Home Control by Disabled Users. 134-137
• 
  Hongwu Yang, Helen M. Meng, Zhiyong Wu, Lianhong Cai: Modelling the Global acoustic Correlates of Expressivity for Chinese Text-to-speech Synthesis. 138-141
• 
  Manolis Perakakis, Michail Toutoudakis, Alexandros Potamianos: Blending speech and Visual Input in Multimodal Dialogue Systems. 142-145
• 
  Ciro Martins, António Texeira, João Paulo Neto: Dynamic Vocabulary Adaptation for a daily and real-time Broadcast News Transcription System. 146-149
• 
  Stefanie Tomko, Roni Rosenfeld: Shaping to convergence: Experiments with speech Graffiti. 150-153
• 
  Kate Saenko, Karen Livescu: An Asynchronous DBN for Audio-Visual speech Recognition. 154-157
• 
  Kaustubh Kalgaonkar, Bhiksha Raj: An acoustic Doppler-Based Front End for Hands Free spoken User Interfaces. 158-161
• 
  Gang Ji, Jeff Bilmes, Katrin Kirchhoff, Chris Manning: Graphical Model Representations of Word Lattices. 162-165
• 
  Amitava Das, Prasanta Ghosh: Audio-Visual Biometric Recognition by Vector Quantization. 166-169

Dialog Management

• 
  Dan Bohus, Brian Langner, Antoine Raux, Alan W. Black, Maxine Eskenazi, Alexander I. Rudnicky: Online Supervised Learning of Non-Understanding Recovery Policies. 170-173
• 
  Rebecca Jonson: Dialogue Context-Based Re-Ranking of ASR Hypotheses. 174-177
• 
  Oliver Lemon, Kallirroi Georgila, James Henderson: Evaluating Effectiveness and Portability of Reinforcement Learned Dialogue Strategies with Real Users: the Talk Towninfo Evaluation. 178-181
• 
  Heriberto Cuayáhuitl, Steve Renals, Oliver Lemon, Hiroshi Shimodaira: Reinforcement Learning of Dialogue Strategies with Hierarchical Abstract Machines. 182-185
• 
  Joseph Polifroni, Marilyn A. Walker: An Analysis of Automatic Content Selection Algorithms for spoken Dialogue System Summaries. 186-189
• 
  Verena Rieser, Oliver Lemon: Using logistic Regression to Initialise Reinforcement-Learning-Based Dialogue Systems. 190-193
• 
  Cheongjae Lee, Sangkeun Jung, Minwoo Jeong, Gary Geunbae Lee: Chat and Goal-Oriented Dialog Together: a Unified Example-Based Architecture for Multi-Domain Dialog Management. 194-197
• 
  Esther Levin, Roberto Pieraccini: Value-Based Optimal Decision for Dialog Systems. 198-201
• 
  Norihide Kitaoka, Hirotoshi Yano, Seiichi Nakagawa: A spoken Dialog System with Automatic Recovery Mechanism from misrecognition. 202-205
• 
  Raquel Fernández, Tatjana Lucht, Kepa Joseba Rodríguez, David Schlangen: Interaction in Task-Oriented Human-Human Dialogue: the Effects of Different turn-Taking Policies. 206-209
• 
  Amanda Stent, Svetlana Stenchikova, Matthew Marge: Dialog Systems for Surveys: the Rate-a-Course System. 210-213
• 
  Paul Fodor, Juan M. Huerta: Planning and Logic Programming for Dialog Management. 214-217
• 
  Giovanni Andreani, Giuseppe Di Fabbrizio, Mazin Gilbert, Daniel Gillick, Dilek Hakkani-Tür, Oliver Lemon: Let's Discoh: Collecting an Annotated Open Corpuswith Dialogue Acts and Reward signals for Natural Language Helpdesks. 218-221

Machine Translation

• 
  Laurent Besacier, Bowen Zhou, Yuqing Gao: Towards speech Translation of Non Written Languages. 222-225
• 
  Bowen Zhou, Stanley F. Chen, Yuqing Gao: Folsom: a Fast and Memory-Efficient Phrase-Based Approach to Statistical Machine Translation. 226-229
• 
  Pascale Fung, Zhaojun Wu, Yongsheng Yang, Dekai Wu: Automatic Learning of Chinese English Semantic Structure Mapping. 230-233
• 
  Dekai Wu, Marine Carpuat, Yihai Shen: Inversion transduction Grammar Coverage of Arabic-English Word Alignment for Tree-Structured Statistical Machine Translation. 234-237
• 
  Hany Hassan, Mary Hearne, Andy Way, Khalil Sima'an: Syntactic Phrase-Based Statistical Machine Translation. 238-241
• 
  Josep Maria Crego, José B. Mariño: Reordering Experiments for n-Gram-Based SMT. 242-245
• 
  Patrik Lambert, Jesús Giménez, Marta R. Costa-Jussà, Enrique Amigó, Rafael E. Banchs, Lluís Màrquez, José A. Rodriguez-Fonollosa: Machine Translation System Development Based on Human Likeness. 246-249
• 
  Douglas A. Jones, Arvind Jairam, Wade Shen, Paul D. Gatewood, John D. Tardelli, Michael Emonts: Experimental Facility for Measuring the Impact of Environmental noise and speaker Variation on speech-to-speech Translation Devices. 250-253
• 
  David Stallard, Fred Choi, Kriste Krstovski, Prem Natarajan, Rohit Prasad, Shirin Saleem, Raid Suleiman: Design and Evaluation of the 2006 BBN English/Iraqi Two-Way speech Translation System. 254-257
• 
  Liang Gu, Yonggang Deng, Wei Zhang, Yuqing Gao: Integrating Text and phonetic Information for Robust Statistical speech Translation. 258-261

last updated on Thu May 23 03:43:57 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page