{"id":"https://openalex.org/W2293321142","doi":"https://doi.org/10.3115/v1/n15-1037","title":"Interpreting Compound Noun Phrases Using Web Search Queries","display_name":"Interpreting Compound Noun Phrases Using Web Search Queries","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2293321142","doi":"https://doi.org/10.3115/v1/n15-1037","mag":"2293321142"},"language":"en","primary_location":{"id":"doi:10.3115/v1/n15-1037","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1037","pdf_url":"https://www.aclweb.org/anthology/N15-1037.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N15-1037.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 Pasca","raw_affiliation_strings":["Google Inc. 1600 Amphitheatre Parkway Mountain View, California 94043"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Inc. 1600 Amphitheatre Parkway Mountain View, California 94043","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":null,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9965000152587891,"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/noun-phrase","display_name":"Noun phrase","score":0.7955911159515381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7441526055335999},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.7247248888015747},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7245409488677979},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.7185257077217102},{"id":"https://openalex.org/keywords/proper-noun","display_name":"Proper noun","score":0.6016897559165955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.59688800573349},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.41999685764312744},{"id":"https://openalex.org/keywords/nominalization","display_name":"Nominalization","score":0.41008636355400085},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3494102358818054},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06415265798568726}],"concepts":[{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.7955911159515381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441526055335999},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.7247248888015747},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7245409488677979},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.7185257077217102},{"id":"https://openalex.org/C41417386","wikidata":"https://www.wikidata.org/wiki/Q147276","display_name":"Proper noun","level":2,"score":0.6016897559165955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59688800573349},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.41999685764312744},{"id":"https://openalex.org/C122295659","wikidata":"https://www.wikidata.org/wiki/Q1500667","display_name":"Nominalization","level":3,"score":0.41008636355400085},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3494102358818054},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06415265798568726},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/n15-1037","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1037","pdf_url":"https://www.aclweb.org/anthology/N15-1037.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/n15-1037","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/n15-1037","pdf_url":"https://www.aclweb.org/anthology/N15-1037.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 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2293321142.pdf","grobid_xml":"https://content.openalex.org/works/W2293321142.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W38703128","https://openalex.org/W73310205","https://openalex.org/W1255655817","https://openalex.org/W1493490255","https://openalex.org/W1839452180","https://openalex.org/W2024791376","https://openalex.org/W2051593977","https://openalex.org/W2060779471","https://openalex.org/W2068737686","https://openalex.org/W2113618948","https://openalex.org/W2122865749","https://openalex.org/W2127761948","https://openalex.org/W2127978399","https://openalex.org/W2132134739","https://openalex.org/W2135843243","https://openalex.org/W2146772539","https://openalex.org/W2148721079","https://openalex.org/W2152135319","https://openalex.org/W2165615475","https://openalex.org/W2167187514","https://openalex.org/W2168596788","https://openalex.org/W2251044566","https://openalex.org/W2251644777","https://openalex.org/W2950121111","https://openalex.org/W4295109370"],"related_works":["https://openalex.org/W2480197456","https://openalex.org/W4376857705","https://openalex.org/W2026814454","https://openalex.org/W2613959985","https://openalex.org/W3198256891","https://openalex.org/W3118607722","https://openalex.org/W2803492476","https://openalex.org/W924436176","https://openalex.org/W1524602228","https://openalex.org/W2025590371"],"abstract_inverted_index":{"A":[0],"weakly-supervised":[1],"method":[2],"is":[3,67],"applied":[4],"to":[5,8,34],"anonymized":[6],"queries":[7,57],"extract":[9],"lexical":[10],"interpretations":[11,21,54],"of":[12,46,74],"compound":[13],"noun":[14,39,47,76],"phrases":[15,48],"(e.g.,":[16],"\"fortune":[17],"500":[18],"companies\").":[19],"The":[20,63],"explain":[22],"the":[23,38,75],"subsuming":[24],"role":[25],"(\"listed":[26],"in\")":[27],"that":[28,53],"modifiers":[29],"(fortune":[30],"500)":[31],"play":[32],"relative":[33],"heads":[35],"(companies)":[36],"within":[37],"phrases.":[40,77],"Experimental":[41],"results":[42],"over":[43],"evaluation":[44],"sets":[45],"from":[49,56],"multiple":[50],"sources":[51],"demonstrate":[52],"extracted":[55,66],"have":[58],"encouraging":[59],"coverage":[60],"and":[61],"precision.":[62],"top":[64],"interpretation":[65],"deemed":[68],"relevant":[69],"for":[70],"more":[71],"than":[72],"70%":[73]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}