{"id":"https://openalex.org/W2047851837","doi":"https://doi.org/10.1017/s1351324901002716","title":"Scalable generation of texts using causal and temporal expansions of sentences","display_name":"Scalable generation of texts using causal and temporal expansions of sentences","publication_year":2001,"publication_date":"2001-08-29","ids":{"openalex":"https://openalex.org/W2047851837","doi":"https://doi.org/10.1017/s1351324901002716","mag":"2047851837"},"language":"en","primary_location":{"id":"doi:10.1017/s1351324901002716","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324901002716","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048485561","display_name":"Yllias Chali","orcid":"https://orcid.org/0009-0008-5198-7788"},"institutions":[{"id":"https://openalex.org/I107949126","display_name":"University of Lethbridge","ror":"https://ror.org/044j76961","country_code":"CA","type":"education","lineage":["https://openalex.org/I107949126"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"YLLIAS CHALI","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, T1K 3M4, Canada; e-mail:","Department of Mathematics and Computer Science, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, T1K 3M4 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, T1K 3M4, Canada; e-mail:","institution_ids":["https://openalex.org/I107949126"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, T1K 3M4 Canada","institution_ids":["https://openalex.org/I107949126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048485561"],"corresponding_institution_ids":["https://openalex.org/I107949126"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11393539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"3","first_page":"191","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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":0.9998000264167786,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9991000294685364,"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":0.8884561657905579},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6586887836456299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5161281824111938},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4746288061141968},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4552021622657776},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4236529469490051},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4196412265300751},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38264256715774536},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36390426754951477},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23491498827934265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8884561657905579},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6586887836456299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5161281824111938},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4746288061141968},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4552021622657776},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4236529469490051},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4196412265300751},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38264256715774536},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36390426754951477},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23491498827934265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s1351324901002716","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1351324901002716","pdf_url":null,"source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1513168555","https://openalex.org/W1570649273","https://openalex.org/W1574989980","https://openalex.org/W1728766530","https://openalex.org/W1733954365","https://openalex.org/W1964326564","https://openalex.org/W1991169218","https://openalex.org/W2042128417","https://openalex.org/W2085574295","https://openalex.org/W2087786941","https://openalex.org/W2109923210","https://openalex.org/W2118119027","https://openalex.org/W2124228738","https://openalex.org/W2774054630"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2375873920","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385"],"abstract_inverted_index":{"This":[0,85],"paper":[1],"presents":[2],"a":[3,36,48,59,64,94,134,160],"exible":[4],"bottom-up":[5],"process":[6],"to":[7,82,112,120,157],"incrementally":[8],"generate":[9,158],"several":[10],"versions":[11,27],"of":[12,29,32,47,58,72,79,96,133,149],"the":[13,18,30,40,45,55,89,99,116,122,126,138,146,150,178],"same":[14],"text,":[15,49,60],"building":[16],"up":[17],"core":[19],"text":[20,165,179],"from":[21,98],"its":[22],"kernel":[23,56,117],"version":[24,57,166],"into":[25],"other":[26],"varying":[28],"levels":[31,78],"details.":[33],"We":[34],"devise":[35],"method":[37],"for":[38,53],"identifying":[39],"question/answer":[41],"relations":[42],"holding":[43],"between":[44],"propositions":[46],"we":[50,62,92],"give":[51],"rules":[52],"characterizing":[54],"and":[61,69,136,171],"provide":[63],"procedure,":[65],"based":[66,87],"on":[67,88],"causal":[68],"temporal":[70],"expansions":[71],"sentences,":[73],"which":[74,167],"distinguishes":[75],"semantically":[76],"these":[77],"details":[80,148],"according":[81,111],"their":[83,163,169,172],"importance.":[84],"is":[86,108],"assumption":[90],"that":[91],"have":[93],"stock":[95],"information":[97],"interpreter's":[100],"knowledge":[101],"base":[102],"available.":[103],"The":[104,152],"sentence":[105],"expansion":[106,127],"operation":[107],"formally":[109],"defined":[110],"three":[113],"principles:":[114],"(1)":[115],"principle":[118,128,140],"ensures":[119],"obtain":[121],"gist":[123],"information;":[124],"(2)":[125],"defines":[129,141],"an":[130,142],"incremental":[131],"augmentation":[132],"text;":[135],"(3)":[137],"subsume":[139],"importance-based":[143],"order":[144],"among":[145],"possible":[147],"information.":[151],"system":[153],"developed":[154],"allows":[155],"users":[156],"in":[159],"follow-up":[161],"way":[162],"own":[164],"meets":[168],"expectations":[170],"demands":[173],"expressed":[174],"as":[175],"questions":[176],"about":[177],"under":[180],"consideration.":[181]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
