Semantic based man-machine interface for real-time communicationA flight expert system (FLES) was developed to assist pilots in monitoring, diagnosing and recovering from in-flight faults. To provide a communications interface between the flight crew and FLES, a natural language interface (NALI) was implemented. Input to NALI is processed by three processors: (1) the semantics parser; (2) the knowledge retriever; and (3) the response generator. First the semantic parser extracts meaningful words and phrases to generate an internal representation of the query. At this point, the semantic parser has the ability to map different input forms related to the same concept into the same internal representation. Then the knowledge retriever analyzes and stores the context of the query to aid in resolving ellipses and pronoun references. At the end of this process, a sequence of retrievel functions is created as a first step in generating the proper response. Finally, the response generator generates the natural language response to the query. The architecture of NALI was designed to process both temporal and nontemporal queries. The architecture and implementation of NALI are described.
Document ID
19880020037
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Ali, M. (Tennessee Univ. Space Inst. Tullahoma, TN, United States)
Ai, C.-S. (Tennessee Univ. Space Inst. Tullahoma, TN, United States)
Date Acquired
September 5, 2013
Publication Date
August 1, 1988
Publication Information
Publication: NASA, Marshall Space Flight Center, Second Conference on Artificial Intelligence for Space Applications