• Skip to primary navigation
  • Skip to main content
SRI logo
  • About
    • Press room
    • Our history
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • QED-C
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Search
Close
Speech & natural language publications March 1, 2008

Exploiting dialogue act tagging and prosodic information for action item identification

Citation

Copy to clipboard


F. Yang, G. Tur and E. Shriberg, “Exploiting dialogue act tagging and prosodic information for action item identification,” in Proc. 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4941–4944.

Abstract

An important task for multiparty meeting understanding is extracting action items. Action items are a set of tasks that are agreed on by the participants for execution after the meeting, with specific due dates and owners. Dialogue acts, the pragmatic function of an utterance, such as question or backchannel, have been reported to be useful for various dialogue understanding tasks. On the other hand, prosodic information, such as pitch, volume, and speech rate, has been reported to be useful for segmenting a dialogue into utterances or detecting questions. In this paper we investigate the use of dialogue act tagging to improve the identification of action item descriptions and prosodic information to improve action item agreements. Our results indicate that dialogue act tagging improves the identification of action item descriptions by 5% over lexical information, and prosodic information helps discriminating backchannels from agreements with 25% absolute improvement over a baseline.

Index Terms— action item, dialogue act, prosody

↓ Download

Share this

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Career call to action image

Make your own mark.

Search jobs

Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Institute

Leadership

Press room

Media inquiries

Compliance

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter


日本支社
SRI International
  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2022 SRI International