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Extending the Rule Space Model to a Semantically-Rich Domain: Diagnostic Assessment in Architecture.
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In: DTIC AND NTIS (1993)
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| 2 |
Difficulty in Learning to Read Speech Spectrograms: The Role of Visual Segmentation
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In: DTIC AND NTIS (1990)
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| 3 |
Benchmarking Text Understanding Systems to Human Performance: An Exploration.
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In: DTIC AND NTIS (1990)
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| 4 |
Processing Problems in the IRUS Queries: An Empirical Verification of Problem Coverage in the Natural Language Sourcebook
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In: DTIC AND NTIS (1990)
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| 6 |
Knowledge of Connectors as Cohesion in Text: A Comparative Study of Native English and ESL (English as a Second Language) Speakers
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In: DTIC AND NTIS (1989)
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| 7 |
Story Problem Solver: A Schema-Based System of Instruction
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In: DTIC AND NTIS (1989)
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| 8 |
A Contrast Between Computer and Human Language Understanding
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In: DTIC AND NTIS (1988)
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| 9 |
The Role of Working Memory in Language Comprehension.
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In: DTIC AND NTIS (1988)
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| 10 |
A Sourcebook Approach to Evaluating Artificial Intelligence Systems
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In: DTIC AND NTIS (1988)
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| 11 |
What's so Hard about Understanding Language
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In: DTIC AND NTIS (1988)
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| 12 |
Automated Text Highlighting of Navy Equipment Failure Messages
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In: DTIC AND NTIS (1988)
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Abstract:
This report describes Text Reduction System (TERSE) that is a knowledge-based system for highlighting important information in the narrative portion of Navy equipment failure messages-Casualty Reports (CASREPs). The system contains two knowledge bases for message evaluation, one that is equipment-specific and the other equipment-general. The equipment-specific knowledge base contains a structural model of a piece of equipment discussed in one class of CASREPs (a shipboard air compressor), encoded as a network of slot/ filler units. Since message writers use a wide variety of descriptive naming conventions in referring to pieces of equipment, it is not possible to provide a complete list of synonyms for each part. Instead, the system must use the equipment model to actively de-reference each complex nominal, by finding an equipment unit whose attributes match a structural host-modifier analysis of the noun phrase. When an equipment name is underspecified, a disambiguation algorithm uses the equipment model to select the most likely referent from the ambiguity set of matching units. The system also contains general causal inferencing heuristics that use the equipment model network to infer causal relationships that are believed to be implicit in the message. The equipment- general portion of the system performs semantic normalization, infers and tags key categories of information, and finally ranks the message clauses by applying user evaluation criteria represented as numeric scores assigned to various patterns of information types. The system implemented in the KEE expert system shell and runs on a Symbolics machine and Sun workstation.
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Keyword:
*MESSAGE PROCESSING; *TEXT HIGHLIGHTING; *TEXT PROCESSING; ALGORITHMS; AMBIGUITY; EQUIPMENT FAILURE MESSAGES; FAILURE; HEURISTIC METHODS; Linguistics; Marine Engineering; MATCHING; MATHEMATICAL MODELS; NAVAL EQUIPMENT; NAVAL VESSELS; NETWORKS; NORMALIZING(STATISTICS); PATTERNS; PE61153N; SCORING; SEMANTICS; SHIPBOARD; WUDN155294
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA202961
http://www.dtic.mil/docs/citations/ADA202961
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| 13 |
The Case for Interactionism in Language Processing.
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In: DTIC AND NTIS (1987)
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| 14 |
Answering Questions from Oceanography Texts: Learner, Task and Text Characteristics.
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In: DTIC AND NTIS (1987)
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| 15 |
Artificial Intelligence Measurement System (Briefing Charts)
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In: DTIC AND NTIS (1987)
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| 16 |
A Development System for Augmented Transition Network Grammars and a Large Grammar for Technical Prose.
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In: DTIC AND NTIS (1987)
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| 17 |
Learning the Hidden Structure of Speech.
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In: DTIC AND NTIS (1987)
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| 18 |
Parallel Mechanisms of Sentence Processing: Assigning Roles to Constituents of Sentences.
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In: DTIC AND NTIS (1986)
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| 19 |
Processes Involved in Writing Effective Procedural Instructions.
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In: DTIC AND NTIS (1985)
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| 20 |
Automatic Speaker Recognition for Military Applications: Applications Survey and Operational Requirements.
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In: DTIC AND NTIS (1985)
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