IEEE, SPS, ACL, ISCA

Organizing Chairs:

Dilek Hakkani-Tür, Microsoft

Mari Ostendorf, U. Washington

Finance Chair:

Gokhan Tur, Microsoft

Advisory Board:

Mazin Gilbert, AT&T Labs - Research

Srinivas Bangalore, AT&T Labs - Research

Giuseppe Riccardi, U. Trento

Technical Chairs:

Isabel Trancoso, INESC-ID, Portugal

Tim Paek, Microsoft Research

Area Chairs:

Julia Hirschberg, Columbia Univ.

Hermann Ney, RWTH Aachen

Andreas Stolcke, SRI International/ICSI

Ye-Yi Wang, Microsoft Research

Demo Chairs:

Alex Potamianos, Tech. U. of Crete

Mikko Kurimo, Helsinki U. of Tech.

Publicity Chair:

Bhuvana Ramabhadran, IBM

Benoit Favre, U. Le Mans

Panel Chairs:

Sadaoki Furui, Tokyo Inst. Of Tech.

Eric Fosler-Lussier, Ohio State U.

Publication Chair:

Yang Liu, U. Texas, Dallas

Local Organizers:

Dimitra Vergryi, SRI International

Murat Akbacak, SRI International

Arindam Mandal, SRI International

Sibel Yaman, IBM Research

Europe Liaisons:

Frederic Bechet, U. Marseille

Philipp Koehn, U. Edinburgh

Asia Liaisons:

Helen Meng, C. U. Hong Kong

Gary Geunbae Lee, POSTECH

Technical Program

P5: Information Extraction and Retrieval from Speech

Session Type: Poster
Time: Wednesday, December 15, 10:00 - 11:30
Location: Horizon+Lanai
 
P5.1: DIRECT AND LATENT MODELING TECHNIQUES FOR COMPUTING SPOKEN DOCUMENT SIMILARITY
         Timothy Hazen; MIT Lincoln Laboratory
 
P5.2: CALL TRANSCRIPT SEGMENTATION USING WORD COOCCURRENCE MODEL
         Shajith Ikbal; IBM Research
         Karthik Visweswariah; IBM Research
 
P5.3: APPLICATION OF TOPIC TRACKING MODEL TO LANGUAGE MODEL ADAPTATION AND MEETING ANALYSIS
         Shinji Watanabe; NTT Corporation
         Tomoharu Iwata; NTT Corporation
         Takaaki Hori; NTT Corporation
         Atsushi Sako; Kobe University
         Yasuo Ariki; Kobe University
 
P5.4: EXPLOITING SEMANTIC ASSOCIATIVE INFORMATION IN TOPIC MODELING
         Meng-Sung Wu; Academia Sinica
         Hung-Shin Lee; Academia Sinica
         Hsin-Min Wang; Academia Sinica
 
P5.5: A FRAMEWORK INTEGRATING DIFFERENT RELEVANCE FEEDBACK SCENARIOS AND APPROACHES FOR SPOKEN TERM DETECTION
         Hung-yi Lee; National Taiwan University
         Chia-ping Chen; National Taiwan University
         Ching-feng Yeh; National Taiwan University
         Lin-shan Lee; National Taiwan University
 
P5.6: TOPIC DEPENDENT CLASS BASED LANGUAGE MODEL EVALUATION ON AUTOMATIC SPEECH RECOGNITION
         Welly Naptali; Toyohashi University of Technology
         Masatoshi Tsuchiya; Toyohashi University of Technology
         Seiichi Nakagawa; Toyohashi University of Technology
 
P5.7: FRAME BASED INTERPRETATION OF CONVERSATIONAL SPEECH
         Frederic Bechet; Aix Marseille Universite
         Christian Raymond; IRISA
         Frederic Duvert; Universite d'Avignon
         Renato de Mori; Universite d'Avignon
 
P5.8: HYPOTHESES SELECTION FOR RE-RANKING SEMANTIC ANNOTATION
         Marco Dinarelli; LIMSI-CNRS
         Alessandro Moschitti; Università degli Studi di Trento
         Giuseppe Riccardi; Università degli Studi di Trento
 
P5.9: LEVERAGING CALL CONTEXT INFORMATION TO IMPROVE CONFIDENCE CLASSIFICATION
         Michael Levit; Microsoft Corporation
 
P5.10: IMPROVED NAMED ENTITY EXTRACTION FROM CONVERSATIONAL SPEECH WITH LANGUAGE MODEL ADAPTATION
         Man-hung Siu; Raytheon BBN Technologies
         Ted Vessenes; Raytheon BBN Technologies
         Ivan Bulyko; Raytheon BBN Technologies
         Owen Kimball; Raytheon BBN Technologies
 
P5.11: REAL-TIME MEETING RECOGNITION AND UNDERSTANDING USING DISTANT MICROPHONES AND OMNI-DIRECTIONAL CAMERA
         Takaaki Hori; NTT Corporation
         Shoko Araki; NTT Corporation
         Takuya Yoshioka; NTT Corporation
         Masakiyo Fujimoto; NTT Corporation
         Shinji Watanabe; NTT Corporation
         Takanobu Oba; NTT Corporation
         Atsunori Ogawa; NTT Corporation
         Kazuhiro Otsuka; NTT Corporation
         Dan Mikami; NTT Corporation
         Keisuke Kinoshita; NTT Corporation
         Tomohiro Nakatani; NTT Corporation
         Atsushi Nakamura; NTT Corporation
         Junji Yamato; NTT Corporation
 
P5.12: KERNEL TOPIC SEGMENTATION FOR INFORMAL MULTI-PARTY MEETINGS AND PERFORMANCE DEGRADATION CAUSED BY INSUFFICIENT LEXICON
         Ken Sadohara; National Institute of Advanced Industrial Science and Technology
 
P5.13: LIGHTLY SUPERVISED LEARNING OF TEXT NORMALIZATION: RUSSIAN NUMBER NAMES
         Richard Sproat; Google, Inc.
 
P5.14: AUTOMATIC IDENTIFICATION OF QUALITATIVES CHARACTERISTICS IN INFANT CRY
         María Antonia Ruiz; INAOE
         Luis Carlos Altamirano; Benemérita Universidad Autónoma de Puebla
         Carlos Alberto Reyes; INAOE
         Oscar Herrera Alcántara; UAM