Industry-University Co-operative Research Program:          Acquisition and Use of Semantic Information for Natural     Language Processing
{'Code': '05010003', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}
{'SignBlockName': 'Dana S. Richards', 'PO_EMAI': None, 'PO_PHON': None}
This project emphasizes the acquisition and use of semantic                     information, focusing on robust parsing of natural language inputs (in          limited domains).  Further, this research addresses the problems of             portability, reliability, and habitability.  It outlines the                    development of a set of interactive tools which provide, to both the            linguist and the end-user, an accurate set of domain-specific                   co-occurrence patterns (subject-verb-object and host-modifier                   combinations allowed in the domain).  This set of tools will partly             automate the creation of the Domain Information Schema (DIS), namely,           the domain-specific information required for processing a given domain.         The same set of tools, provided with a different interface for the              end-user, will be used to support interactive text entry.  The tools            will provide detailed feedback on where the system fails to process the         text, due to missing or incompatible semantic co-occurrence patterns.
{'FirstName': 'Ralph', 'LastName': 'Grishman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ralph Grishman', 'EmailAddress': 'grishman@cs.nyu.edu', 'PI_PHON': '2129983497', 'NSF_ID': '000178810', 'StartDate': '08/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'New York University', 'CityName': 'NEW YORK', 'ZipCode': '100121019', 'PhoneNumber': '2129982121', 'StreetAddress': '70 WASHINGTON SQ S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NY10', 'ORG_UEI_NUM': 'NX9PXMKW5KW8', 'ORG_LGL_BUS_NAME': 'NEW YORK UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'NX9PXMKW5KW8'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
[{'Code': '2823', 'Text': 'INTELLIGENT SYSTEMS'}, {'Code': '9110', 'Text': 'INDUSTRY/UNIV COOP RESEAR'}, {'Code': '9115', 'Text': 'AUTOMATION'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8501843.xml'}