{"id":"https://openalex.org/W2033454927","doi":"https://doi.org/10.1145/1499402.1499520","title":"A parser analyzer of empirical design for question-answering","display_name":"A parser analyzer of empirical design for question-answering","publication_year":1977,"publication_date":"1977-01-01","ids":{"openalex":"https://openalex.org/W2033454927","doi":"https://doi.org/10.1145/1499402.1499520","mag":"2033454927"},"language":"en","primary_location":{"id":"doi:10.1145/1499402.1499520","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1499402.1499520","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1499402.1499520","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the June 13-16, 1977, national computer conference on - AFIPS '77","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1499402.1499520","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048964931","display_name":"Abraham S. Ben David","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132870","display_name":"Xerox (United States)","ror":"https://ror.org/03jwzwq24","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abraham S. Ben David","raw_affiliation_strings":["Xerox Corporation, Rochester, New York","Xerox Corporation; Rochester New York"],"affiliations":[{"raw_affiliation_string":"Xerox Corporation, Rochester, New York","institution_ids":["https://openalex.org/I4210132870"]},{"raw_affiliation_string":"Xerox Corporation; Rochester New York","institution_ids":["https://openalex.org/I4210132870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048964931"],"corresponding_institution_ids":["https://openalex.org/I4210132870"],"apc_list":null,"apc_paid":null,"fwci":1.2046,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85335207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"669","last_page":"669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8652908802032471},{"id":"https://openalex.org/keywords/spectrum-analyzer","display_name":"Spectrum analyzer","score":0.8485074639320374},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.8340139389038086},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6597601771354675},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6208434104919434},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6125178933143616},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4558161795139313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4131527245044708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8652908802032471},{"id":"https://openalex.org/C158007255","wikidata":"https://www.wikidata.org/wiki/Q1055222","display_name":"Spectrum analyzer","level":2,"score":0.8485074639320374},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8340139389038086},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6597601771354675},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6208434104919434},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6125178933143616},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4558161795139313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4131527245044708},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1499402.1499520","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1499402.1499520","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1499402.1499520","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the June 13-16, 1977, national computer conference on - AFIPS '77","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/1499402.1499520","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1499402.1499520","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1499402.1499520","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the June 13-16, 1977, national computer conference on - AFIPS '77","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6299999952316284,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2033454927.pdf","grobid_xml":"https://content.openalex.org/works/W2033454927.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1516140354","https://openalex.org/W1533535138","https://openalex.org/W2005814556","https://openalex.org/W2098547701","https://openalex.org/W2329216925","https://openalex.org/W6649714073","https://openalex.org/W6651937562","https://openalex.org/W6675029972","https://openalex.org/W6816390053"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2391061712","https://openalex.org/W2115758952","https://openalex.org/W2094171095","https://openalex.org/W3082787378","https://openalex.org/W6643695","https://openalex.org/W4381248170","https://openalex.org/W3189621521","https://openalex.org/W2173794830"],"abstract_inverted_index":{"Over":[0],"the":[1,15,23,26,32,74],"last":[2],"three":[3],"years,":[4],"work":[5],"of":[6,17,28,31,44,47,50,57],"an":[7],"empirical":[8],"nature":[9],"has":[10],"been":[11],"carried":[12],"out":[13],"on":[14,82],"design":[16],"a":[18,45,54,63,80,83],"natural-language":[19],"question-answering":[20],"system.":[21],"In":[22],"present":[24],"paper,":[25],"parser-analyzer":[27,41,60],"version":[29],"3.0":[30],"QUANSY":[33],"(QUestion":[34],"ANswer":[35],"SYstem)":[36],"system":[37,68],"is":[38,42,52,69],"discussed.":[39],"The":[40,59,66],"composed":[43],"set":[46,56],"algorithms,":[48],"each":[49],"which":[51],"assigned":[53],"particular":[55],"tasks.":[58],"operates":[61],"in":[62,71],"multihypothesis":[64],"structure.":[65],"whole":[67],"programmed":[70],"FORTRAN":[72],"and":[73],"sample":[75],"run":[76,81],"times":[77],"are":[78],"for":[79],"CDC":[84],"6400.":[85]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
