{"id":"https://openalex.org/W2152607144","doi":"https://doi.org/10.3115/1118693.1118716","title":"NLP found helpful (at least for one text categorization task)","display_name":"NLP found helpful (at least for one text categorization task)","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2152607144","doi":"https://doi.org/10.3115/1118693.1118716","mag":"2152607144"},"language":"en","primary_location":{"id":"doi:10.3115/1118693.1118716","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118693.1118716","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118716","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 conference on Empirical methods in natural language processing  - EMNLP '02","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118716","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087659012","display_name":"Carl Sable","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carl Sable","raw_affiliation_strings":["Columbia University, New York, NY"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109565051","display_name":"Kathleen McKeown","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathleen McKeown","raw_affiliation_strings":["Columbia University, New York, NY"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016543371","display_name":"Kenneth Church","orcid":"https://orcid.org/0000-0001-8378-6069"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth W. Church","raw_affiliation_strings":["AT&T Shannon Laboratory, Florham Park, NJ"],"affiliations":[{"raw_affiliation_string":"AT&T Shannon Laboratory, Florham Park, NJ","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087659012"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.8523,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79459489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"172","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.828417181968689},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7838841080665588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7517009973526001},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6988365054130554},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.6942477822303772},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.5451991558074951},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5331363677978516},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.5323745608329773},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07644221186637878},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.06766089797019958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828417181968689},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7838841080665588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7517009973526001},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6988365054130554},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.6942477822303772},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.5451991558074951},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5331363677978516},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5323745608329773},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07644221186637878},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.06766089797019958},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3115/1118693.1118716","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118693.1118716","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118716","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 conference on Empirical methods in natural language processing  - EMNLP '02","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.20.1288","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.1288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.columbia.edu/~sable/research/emnlp02.ps","raw_type":"text"},{"id":"pmh:oai:academiccommons.columbia.edu:10.7916/D8RB7CZ2","is_oa":false,"landing_page_url":"https://doi.org/10.7916/D8RB7CZ2","pdf_url":null,"source":{"id":"https://openalex.org/S4306402601","display_name":"Columbia Academic Commons (Columbia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78577930","host_organization_name":"Columbia University","host_organization_lineage":["https://openalex.org/I78577930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Presentations (Communicative Events)"},{"id":"doi:10.7916/d8rb7cz2","is_oa":true,"landing_page_url":"https://doi.org/10.7916/d8rb7cz2","pdf_url":null,"source":{"id":"https://openalex.org/S4306402601","display_name":"Columbia Academic Commons (Columbia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78577930","host_organization_name":"Columbia University","host_organization_lineage":["https://openalex.org/I78577930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.3115/1118693.1118716","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1118693.1118716","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1118693.1118716","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACL-02 conference on Empirical methods in natural language processing  - EMNLP '02","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2152607144.pdf","grobid_xml":"https://content.openalex.org/works/W2152607144.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1480519300","https://openalex.org/W1502170084","https://openalex.org/W1603391615","https://openalex.org/W1659833910","https://openalex.org/W1833785989","https://openalex.org/W1835866219","https://openalex.org/W1978394996","https://openalex.org/W2000972129","https://openalex.org/W2038721957","https://openalex.org/W2045577803","https://openalex.org/W2056105869","https://openalex.org/W2061271742","https://openalex.org/W2101801316","https://openalex.org/W2140354722","https://openalex.org/W2164361686","https://openalex.org/W2917152527"],"related_works":["https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2078570174","https://openalex.org/W2383063829","https://openalex.org/W2138922887","https://openalex.org/W2035261173","https://openalex.org/W2106892947","https://openalex.org/W2237299843"],"abstract_inverted_index":{"Attempts":[0],"to":[1,66],"use":[2],"natural":[3],"language":[4],"processing":[5],"(NLP)":[6],"for":[7,30,43,56],"text":[8],"categorization":[9],"and":[10,47,75,99],"information":[11],"retrieval":[12],"(IR)":[13],"have":[14],"had":[15],"mixed":[16],"results.":[17],"Nevertheless,":[18],"there":[19],"is":[20,26,59],"a":[21,38,72],"strong":[22],"intuition":[23],"that":[24,94],"NLP":[25,55,95],"important,":[27],"at":[28],"least":[29],"some":[31],"tasks.":[32],"In":[33,64],"this":[34,57],"paper,":[35],"we":[36,84],"discuss":[37],"task":[39,58],"involving":[40],"captioned":[41],"images":[42],"which":[44],"the":[45,48,67,82],"subject":[46],"predicate":[49],"are":[50],"critical.":[51],"The":[52],"usefulness":[53],"of":[54,70],"established":[60],"in":[61,81],"two":[62],"ways.":[63],"addition":[65],"standard":[68],"method":[69],"introducing":[71],"new":[73],"system":[74],"comparing":[76],"its":[77],"performance":[78],"with":[79,90],"others":[80],"literature,":[83],"also":[85],"present":[86],"evidence":[87],"from":[88],"experiments":[89],"human":[91],"subjects":[92],"showing":[93],"generally":[96],"improves":[97],"speed":[98],"accuracy.":[100]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
