Extending Word Highlighting in Multiparticipant Chat

Abstract

We describe initial work on extensions to word highlighting for multiparticipant chat to aid users in finding messages of interest, especially during times of high traffic in chat rooms. We have annotated a corpus of chat messages from a technical chat domain (Ubuntu's technical support), indicating whether they are related to Ubuntu's new desktop environment Unity. We also created an unsupervised learning algorithm, in which relations are represented with a graph, and applied this to find words related to Unity so they can be highlighted in new, unseen chat messages. On the task of finding relevant messages, our approach outperformed two baseline approaches that are similar to current state-of-the-art word highlighting methods in chat clients.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2013
Accession Number
ADA602742

Entities

People

  • David C. Uthus
  • David W. Aha

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Base Lines
  • Command And Control
  • Computer Science
  • Computing-Related Activities
  • Data Science
  • Environment
  • Information Operations
  • Information Overload
  • Learning
  • Military Research
  • Precision
  • Test Sets
  • Unsupervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation