Publications
-
Singapore Tablet PC Program Study: Executive Summary and Final Report, Volume 1, Technical Findings
-
Singapore Tablet PC Program Study: Executive Summary and Final Report, Volume 2, Technical Appendicies
-
Mapping The Distribution Of Expertise And Resources In A School: Investigating The Potential Of Using Social Network Analysis In Evaluation
This paper describes results of a study investigating the potential of using social network analysis to evaluate the capacity of a school to undertake a schoolwide educational reform.
-
VERL: An ontology framework for representing and annotating video events
This article describes the findings of a recent workshop series that has produced an ontology framework for representing video events-called Video Event Representation Language (VERL) -and a companion annotation framework,…
-
Task Management under Change and Uncertainty: Constraint Solving Experience with the CALO Project
We outline the challenges and opportunities presented by constraint solving in the presence of change and uncertainty, embodied in CALO's personalized time management and task reasoning and execution systems.
-
Does Active Learning Help Automatic Dialog Act Tagging in Meeting Data?
We ask if active learning with lexical cues can help for this task and this domain. To better address this question, we explore active learning for two different types of…
-
Pushing the Envelope — Aside
Despite successes, there are still significant limitations to speech recognition performance. For this reason, authors have proposed methods that incorporate different (and larger) analysis windows, which are described in this…
-
Comparing HMM, Maximum Entropy, and Conditional Random Fields for Disfluency Detection
We compare a generative hidden Markov model (HMM)-based approach and two conditional models — a maximum entropy (Maxent) model and a conditional random field (CRF) — for detecting disfluencies in…
-
Distinguishing Deceptive from Non-Deceptive Speech
We present results from a study seeking to distinguish deceptive from non-deceptive speech using machine learning techniques on features extracted from a large corpus of deceptive and non-deceptive speech. We…
-
Improved Discriminative Training Using Phone Lattices
We present an efficient discriminative training procedure utilizing phone lattices. Different approaches to expediting lattice generation, statistics collection, and convergence were studied.
-
Speech Translation for Low-Resource Languages: The Case of Pashto
We present a number of challenges and solutions that have arisen in the development of a speech translation system for American English and Pashto, highlighting those specific to a very…
-
Generation of fast interpreters for Huffman compressed bytecode
Our approach uses canonical Huffman codes to generate compact opcodes with custom-sized operand fields and with a virtual machine that directly executes this compact code. In effect, this automatically creates…