{"id":"https://openalex.org/W1967082914","doi":"https://doi.org/10.1145/383952.383955","title":"Generic text summarization using relevance measure and latent semantic analysis","display_name":"Generic text summarization using relevance measure and latent semantic analysis","publication_year":2001,"publication_date":"2001-09-01","ids":{"openalex":"https://openalex.org/W1967082914","doi":"https://doi.org/10.1145/383952.383955","mag":"1967082914"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/383952.383955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.cs.bham.ac.uk/~pxt/IDA/text_summary.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["NEC USA, San Jose, CA"],"affiliations":[{"raw_affiliation_string":"NEC USA, San Jose, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352321","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0003-2802-594X"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["NEC USA, San Jose, CA"],"affiliations":[{"raw_affiliation_string":"NEC USA, San Jose, CA","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.544,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":844,"citation_normalized_percentile":{"value":0.999408,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9999,"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/T10028","display_name":"Topic Modeling","score":0.9999,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9996,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9955,"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/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.7077419},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance","score":0.6802751},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.66002727},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5263304}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.96946514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8413074},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.7077419},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6802751},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.671981},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.66476715},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.66002727},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6261974},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.589906},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5704608},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5637136},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5263304},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.50942546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4728147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07870105},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/383952.383955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.5097","pdf_url":"http://www.cs.bham.ac.uk/~pxt/IDA/text_summary.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.5097","pdf_url":"http://www.cs.bham.ac.uk/~pxt/IDA/text_summary.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.58}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1573514622","https://openalex.org/W2034771957","https://openalex.org/W2045207820","https://openalex.org/W2072773380","https://openalex.org/W2074297512","https://openalex.org/W2115541970","https://openalex.org/W2147152072","https://openalex.org/W2432517183","https://openalex.org/W2981264952","https://openalex.org/W336063547","https://openalex.org/W63003940"],"related_works":["https://openalex.org/W4238363396","https://openalex.org/W4200075185","https://openalex.org/W3164984162","https://openalex.org/W3153082335","https://openalex.org/W2986470681","https://openalex.org/W2590756584","https://openalex.org/W2568827738","https://openalex.org/W2126232808","https://openalex.org/W2084333023","https://openalex.org/W1496532642"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"two":[5,91],"generic":[6],"text":[7,12,124,146],"summarization":[8,92,99,125,138,147],"methods":[9,29,53,93],"that":[10,58],"create":[11,72],"summaries":[13,104],"by":[14,96,106],"ranking":[15],"and":[16,62,84,142],"extracting":[17],"sentences":[18,57],"from":[19,64],"the":[20,35,39,80,90,102,115,123,128,131,135],"original":[21],"documents.":[22],"The":[23,111],"first":[24],"method":[25,37],"uses":[26,38],"standard":[27],"IR":[28],"to":[30,44,55,71],"rank":[31],"sentence":[32],"relevances,":[33],"while":[34],"second":[36],"latent":[40],"semantic":[41],"analysis":[42],"technique":[43],"identify":[45],"semantically":[46],"important":[47],"sentences,":[48],"for":[49],"summary":[50,74],"creations.":[51],"Both":[52],"strive":[54],"select":[56],"are":[59,94,140,149],"highly":[60],"ranked":[61],"different":[63,118],"each":[65],"other.":[66],"This":[67],"is":[68],"an":[69],"attempt":[70],"a":[73,76],"with":[75,101],"wider":[77],"coverage":[78],"of":[79,117,130],"document's":[81],"main":[82],"content":[83],"less":[85],"redundancy.":[86],"Performance":[87],"evaluations":[88,112],"on":[89,122,144],"conducted":[95],"comparing":[97],"their":[98],"outputs":[100],"manual":[103,137],"generated":[105],"three":[107],"independent":[108],"human":[109,145],"evaluators.":[110],"also":[113],"study":[114],"influence":[116],"VSM":[119],"weighting":[120],"schemes":[121],"performances.":[126],"Finally,":[127],"causes":[129],"large":[132],"disparities":[133],"in":[134],"evaluators'":[136],"results":[139],"investigated,":[141],"discussions":[143],"patterns":[148],"presented.":[150]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1967082914","counts_by_year":[{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":48},{"year":2020,"cited_by_count":41},{"year":2019,"cited_by_count":53},{"year":2018,"cited_by_count":58},{"year":2017,"cited_by_count":44},{"year":2016,"cited_by_count":55},{"year":2015,"cited_by_count":52},{"year":2014,"cited_by_count":65},{"year":2013,"cited_by_count":51},{"year":2012,"cited_by_count":48}],"updated_date":"2025-01-10T13:03:05.483615","created_date":"2016-06-24"}