| 1 |
Lucene for n-grams using the ClueWeb Collection
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
POSTECH at TREC 2009 Blog Track: Top Stories Identification
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Experiments on Related Entity Finding Track at TREC 2009
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Comparing Evaluation Metrics for Sentence Boundary Detection
|
|
|
|
In: DTIC (2007)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
|
|
|
|
In: DTIC (2006)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Cross-Document Coreference on a Large Scale Corpus
|
|
|
|
In: DTIC (2004)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
|
|
|
|
In: DTIC (2004)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Spoken Dialogue for Simulation Control and Conversational Tutoring
|
|
|
|
In: DTIC (2004)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Generic Sentence Fusion is an Ill-Defined Summarization Task
|
|
|
|
In: DTIC (2004)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Development and Evaluation of a Korean Treebank and its Application to NLP
|
|
|
|
In: DTIC (2002)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Automated Tutoring Dialogues for Training in Shipboard Damage Control
|
|
|
|
In: DTIC (2001)
|
|
Abstract:
This paper describes an application of state-of-the-art spoken language technology (OAA/Gemini/Nuance) to a new problem domain: engaging students in automated tutorial dialogs to evaluate and improve their performance in a training simulator. Shipboard damage control refers to the task of containing the effects of fire, explosions, hull breaches, flooding, and other critical events that can occur aboard Naval vessels. The high-stakes, high-stress nature of this task, together with limited opportunities for real-life training, make damage control an ideal target for artificial intelligence-enabled educational technologies like training simulators and tutoring systems. The simulator used in this study is DC-TRAIN, an immersive, multimedia training environment for damage control. DC-TRAIN's training scenarios simulate a mixture of physical phenomena (e.g., fire, flooding) and personnel issues (e.g., casualties, communications, standardized procedures). The current tutoring system is restricted to fire damage scenarios only, and in particular to the 12 fire scenarios available in DC-TRAIN version 2.5, but in future versions the authors plan to support post-session critiques for all of the damage phenomena that will be modeled by DC-TRAIN 4.0: fire, flooding, missile damage, and wall or firemain ruptures. ; The original document contains color images.
|
|
Keyword:
*AUTOMATED TUTORING SYSTEMS; *AUTOMATION; *DAMAGE CONTROL; *EXPERT SYSTEMS; *NAVAL TRAINING; *SHIP PERSONNEL; *SIMULATORS; *VOICE COMMUNICATIONS; AUTOMATED CRITIQUES; CRISIS MANAGEMENT; Cybernetics; DC TRAIN 2.5 SIMULATOR; Equipment and Methods; GEMINI GRAMMAR; INTELLIGENT TUTORING SYSTEMS; INTERACTIONS; Linguistics; Marine Engineering; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; NAVAL PERSONNEL; NAVAL VESSELS; NUANCE SPEECH RECOGNIZER; OAA(OPEN AGENT ARCHITECTURE); PARSERS; PERFORMANCE(HUMAN); SHIP FIRES; SHIPBOARD; SHIPBOARD DAMAGE CONTROL; SIMULATION; SPEECH RECOGNITION; SPOKEN DIALOG SYSTEMS; Test Facilities; TRAINING DEVICES; TRAINING SIMULATORS; Voice Communications
|
|
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459671
http://www.dtic.mil/docs/citations/ADA459671
|
|
BASE
|
|
Hide details
|
|
|
| 14 |
Augmented Role Filling Capabilities for Semantic Interpretation of Spoken Language
|
|
|
|
In: DTIC (1991)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Adaptive Natural Language Processing
|
|
|
|
In: DTIC AND NTIS (1991)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Coordinating Text and Graphics in Explanation Generation
|
|
|
|
In: DTIC (1989)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Natural Language for Problem Solving Systems
|
|
|
|
In: DTIC AND NTIS (1989)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
A Contrast Between Computer and Human Language Understanding
|
|
|
|
In: DTIC AND NTIS (1988)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Operational Test and Evaluation of the Meter Engineering Development Model.
|
|
|
|
In: DTIC AND NTIS (1982)
|
|
BASE
|
|
Show details
|
|
|
|
|
