{"id":"https://openalex.org/W1981537631","doi":"https://doi.org/10.1145/1321440.1321510","title":"The role of documents vs. queries in extracting class attributes from text","display_name":"The role of documents vs. queries in extracting class attributes from text","publication_year":2007,"publication_date":"2007-11-06","ids":{"openalex":"https://openalex.org/W1981537631","doi":"https://doi.org/10.1145/1321440.1321510","mag":"1981537631"},"language":"en","primary_location":{"id":"doi:10.1145/1321440.1321510","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","raw_type":"proceedings-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/A5103731322","display_name":"Marius Pa\u015fca","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marius Pa\u015fca","raw_affiliation_strings":["Google Inc., Mountain View, CA","Google Inc., Mountain View, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Inc., Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., Mountain View, CA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075825791","display_name":"Benjamin Van Durme","orcid":"https://orcid.org/0000-0003-4328-4288"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Van Durme","raw_affiliation_strings":["University of Rochester, Rochester, NY","University of Rochester; Rochester, NY"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"University of Rochester; Rochester, NY","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080735926","display_name":"Nikesh Garera","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikesh Garera","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD","Johns Hopkins University, baltimore, MD"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University, baltimore, MD","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103731322"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":7.5079,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96930918,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"485","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9987999796867371,"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":0.7833045125007629},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6512177586555481},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6087662577629089},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5488378405570984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3720684051513672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833045125007629},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6512177586555481},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6087662577629089},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5488378405570984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3720684051513672}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1321440.1321510","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W69597389","https://openalex.org/W90502410","https://openalex.org/W97622340","https://openalex.org/W182486616","https://openalex.org/W1519238856","https://openalex.org/W1565175571","https://openalex.org/W1769884069","https://openalex.org/W1974205932","https://openalex.org/W1986386500","https://openalex.org/W2012179495","https://openalex.org/W2047032662","https://openalex.org/W2060565333","https://openalex.org/W2070246124","https://openalex.org/W2096432151","https://openalex.org/W2103931177","https://openalex.org/W2125771191","https://openalex.org/W2129271949","https://openalex.org/W2135843243","https://openalex.org/W2135843591","https://openalex.org/W2137023796","https://openalex.org/W2152798955","https://openalex.org/W2163022864","https://openalex.org/W2608239929","https://openalex.org/W2930957955","https://openalex.org/W4211142623","https://openalex.org/W4231886258","https://openalex.org/W6602823196","https://openalex.org/W6603979058"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Challenging":[0],"the":[1,10],"implicit":[2],"reliance":[3],"on":[4,41,79],"document":[5,20],"collections,":[6,21],"this":[7],"paper":[8],"discusses":[9],"pros":[11],"and":[12,54],"cons":[13],"of":[14,25,37,48],"using":[15],"query":[16,84],"logs":[17,85],"rather":[18,86],"than":[19,87],"as":[22,35],"self-contained":[23],"sources":[24],"data":[26],"in":[27],"textual":[28],"information":[29],"extraction.":[30],"The":[31],"differences":[32],"are":[33,75],"quantified":[34],"part":[36],"a":[38,63,67],"large-scale":[39],"study":[40],"extracting":[42],"prominent":[43],"attributes":[44,73],"or":[45],"quantifiable":[46],"properties":[47],"classes":[49],"(e.g.,":[50],"top":[51],"speed,":[52],"price":[53],"fuel":[55],"consumption":[56],"for":[57],"CarModel)":[58],"from":[59,83],"unstructured":[60],"text.":[61],"In":[62],"head-to-head":[64],"qualitative":[65],"comparison,":[66],"lightweight":[68],"extraction":[69],"method":[70],"produces":[71],"class":[72],"that":[74],"45%":[76],"more":[77],"accurate":[78],"average,":[80],"when":[81],"acquired":[82],"Web":[88],"documents.":[89]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
