{"id":"https://openalex.org/W2252117598","doi":"https://doi.org/10.18653/v1/d13-1039","title":"Open-Domain Fine-Grained Class Extraction from Web Search Queries","display_name":"Open-Domain Fine-Grained Class Extraction from Web Search Queries","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2252117598","doi":"https://doi.org/10.18653/v1/d13-1039","mag":"2252117598"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1039","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1039","pdf_url":"https://aclanthology.org/D13-1039.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1039.pdf","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 Pa\u015fca","raw_affiliation_strings":["Google,,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google,,,,,","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":0.6864,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7080336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"403","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9945999979972839,"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":0.8045527935028076},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7590686082839966},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5429690480232239},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.47929850220680237},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4139407277107239},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3816036581993103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26521241664886475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10082143545150757}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045527935028076},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7590686082839966},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5429690480232239},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.47929850220680237},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4139407277107239},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3816036581993103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26521241664886475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10082143545150757},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d13-1039","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1039","pdf_url":"https://aclanthology.org/D13-1039.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1039","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1039","pdf_url":"https://aclanthology.org/D13-1039.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2252117598.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W32369653","https://openalex.org/W38703128","https://openalex.org/W89857650","https://openalex.org/W1493490255","https://openalex.org/W1505544955","https://openalex.org/W1572864191","https://openalex.org/W1606412149","https://openalex.org/W1756422141","https://openalex.org/W1958239248","https://openalex.org/W2024791376","https://openalex.org/W2030262638","https://openalex.org/W2047032662","https://openalex.org/W2057052429","https://openalex.org/W2068737686","https://openalex.org/W2088762045","https://openalex.org/W2098162425","https://openalex.org/W2103296194","https://openalex.org/W2105813426","https://openalex.org/W2108223890","https://openalex.org/W2110360823","https://openalex.org/W2113618948","https://openalex.org/W2119598708","https://openalex.org/W2122865749","https://openalex.org/W2123966845","https://openalex.org/W2124067180","https://openalex.org/W2127761948","https://openalex.org/W2129629757","https://openalex.org/W2132655161","https://openalex.org/W2135843243","https://openalex.org/W2137023796","https://openalex.org/W2138288827","https://openalex.org/W2138605095","https://openalex.org/W2144108169","https://openalex.org/W2145328028","https://openalex.org/W2146772539","https://openalex.org/W2148540243","https://openalex.org/W2149746394","https://openalex.org/W2152866159","https://openalex.org/W2165615475","https://openalex.org/W2167187514","https://openalex.org/W2168596788","https://openalex.org/W2471366537"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2377297411","https://openalex.org/W3148217948","https://openalex.org/W2375788636","https://openalex.org/W2358561207","https://openalex.org/W2975617233","https://openalex.org/W2388704129","https://openalex.org/W2392827053","https://openalex.org/W2377877252","https://openalex.org/W2362914816"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3],"method":[4],"for":[5,49],"extracting":[6],"fine-grained":[7],"class":[8,24,51],"labels":[9,25],"(":[10],"\u201ccountries":[11],"with":[12,16],"double":[13],"taxation":[14],"agreements":[15],"india\u201d":[17],")":[18],"from":[19],"Web":[20],"search":[21],"queries.":[22],"The":[23],"are":[26,41],"more":[27,30],"numerous":[28],"and":[29],"diverse":[31],"than":[32],"those":[33],"produced":[34],"by":[35],"current":[36],"extraction":[37],"methods.":[38],"Also":[39],"extracted":[40],"representative":[42],"sets":[43],"of":[44],"instances":[45],"(singapore,":[46],"united":[47],"kingdom)":[48],"the":[50],"labels.":[52]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
