{"id":"https://openalex.org/W2121300361","doi":"https://doi.org/10.3115/v1/d14-1115","title":"Queries as a Source of Lexicalized Commonsense Knowledge","display_name":"Queries as a Source of Lexicalized Commonsense Knowledge","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2121300361","doi":"https://doi.org/10.3115/v1/d14-1115","mag":"2121300361"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1115","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1115","pdf_url":"https://doi.org/10.3115/v1/d14-1115","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3115/v1/d14-1115","any_repository_has_fulltext":null},"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 Pasca","raw_affiliation_strings":["Google\u2020#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google\u2020#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103731322"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.4136,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60709305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1081","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9990000128746033,"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":0.9939000010490417,"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":0.8579087257385254},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.6694950461387634},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.6527342200279236},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6023035049438477},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5653610825538635},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5502399206161499},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5074800848960876},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.47790607810020447},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.43640202283859253},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.43354228138923645},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4233500063419342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3976733982563019},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32289496064186096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07351064682006836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8579087257385254},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.6694950461387634},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.6527342200279236},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6023035049438477},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5653610825538635},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5502399206161499},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5074800848960876},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.47790607810020447},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.43640202283859253},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.43354228138923645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4233500063419342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3976733982563019},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32289496064186096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07351064682006836},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/d14-1115","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1115","pdf_url":"https://doi.org/10.3115/v1/d14-1115","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1115","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1115","pdf_url":"https://doi.org/10.3115/v1/d14-1115","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W38703128","https://openalex.org/W1493490255","https://openalex.org/W1505544955","https://openalex.org/W1512129890","https://openalex.org/W1756422141","https://openalex.org/W1769884069","https://openalex.org/W1859633635","https://openalex.org/W2000411838","https://openalex.org/W2001306626","https://openalex.org/W2005401004","https://openalex.org/W2026591069","https://openalex.org/W2030262638","https://openalex.org/W2038688024","https://openalex.org/W2050078085","https://openalex.org/W2068737686","https://openalex.org/W2086378526","https://openalex.org/W2088762045","https://openalex.org/W2088833152","https://openalex.org/W2094728533","https://openalex.org/W2103296194","https://openalex.org/W2106578604","https://openalex.org/W2108223890","https://openalex.org/W2113618948","https://openalex.org/W2114738804","https://openalex.org/W2119598708","https://openalex.org/W2122865749","https://openalex.org/W2123143128","https://openalex.org/W2127761948","https://openalex.org/W2129842875","https://openalex.org/W2132655161","https://openalex.org/W2138605095","https://openalex.org/W2145328028","https://openalex.org/W2146772539","https://openalex.org/W2148540243","https://openalex.org/W2148721079","https://openalex.org/W2151450030","https://openalex.org/W2152997076","https://openalex.org/W2161494021","https://openalex.org/W2165615475","https://openalex.org/W2166817967","https://openalex.org/W2167187514","https://openalex.org/W2168596788","https://openalex.org/W2170741935","https://openalex.org/W2171548427","https://openalex.org/W2250225327","https://openalex.org/W2251516964","https://openalex.org/W2251532992","https://openalex.org/W2251623545","https://openalex.org/W2251644777","https://openalex.org/W2252087255","https://openalex.org/W2471366537","https://openalex.org/W2951723246"],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W4385488510","https://openalex.org/W2196562041","https://openalex.org/W2073302931","https://openalex.org/W3206107299","https://openalex.org/W3082691151","https://openalex.org/W4287633646","https://openalex.org/W4378501473"],"abstract_inverted_index":{"The":[0],"role":[1],"of":[2,12,14,19,21,33,68],"Web":[3,43,94],"search":[4,44],"queries":[5,63,82],"has":[6],"been":[7],"demonstrated":[8],"in":[9,50,59],"the":[10,31,66],"extraction":[11],"attributes":[13],"instances":[15,23],"and":[16,24,84],"classes,":[17],"or":[18],"sets":[20],"related":[22],"their":[25],"class":[26],"labels.":[27],"This":[28],"paper":[29],"explores":[30],"acquisition":[32],"opendomain":[34],"commonsense":[35],"knowledge,":[36,41],"usually":[37],"available":[38],"as":[39],"factual":[40],"from":[42,56,62,81,93],"queries.":[45],"Similarly":[46],"to":[47],"previous":[48,97],"work":[49],"open-domain":[51,73],"information":[52],"extraction,":[53],"knowledge":[54],"extracted":[55,80,92],"text":[57],"-":[58,64],"this":[60],"case,":[61],"takes":[65],"form":[67],"lexicalized":[69],"assertions":[70],"associated":[71],"with":[72],"classes.":[74],"Experimental":[75],"results":[76],"indicate":[77],"that":[78],"facts":[79,91],"complement,":[83],"have":[85],"competitive":[86],"accuracy":[87],"levels":[88],"relative":[89],"to,":[90],"documents":[95],"by":[96],"methods.":[98]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
