iBet uBet
web content aggregator. Adding the entire web to your favor.
Link to original content:
https://api.openalex.org/works/doi:10.1007/978-3-540-72584-8_91
{"id":"https://openalex.org/W1566482265","doi":"https://doi.org/10.1007/978-3-540-72584-8_91","title":"Type-Based Query Expansion for Sentence Retrieval","display_name":"Type-Based Query Expansion for Sentence Retrieval","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1566482265","doi":"https://doi.org/10.1007/978-3-540-72584-8_91","mag":"1566482265"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-72584-8_91","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-72584-8_91.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"book-chapter","type_crossref":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-72584-8_91.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103348357","display_name":"Keke Cai","orcid":"https://orcid.org/0000-0003-1693-0221"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Cai","raw_affiliation_strings":["College of Computer Science Zhejiang University Hangzhou 310027 China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science Zhejiang University Hangzhou 310027 China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373367","display_name":"Chun Chen","orcid":"https://orcid.org/0000-0002-6198-7481"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Chen","raw_affiliation_strings":["College of Computer Science Zhejiang University Hangzhou 310027 China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science Zhejiang University Hangzhou 310027 China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052757755","display_name":"Jiajun Bu","orcid":"https://orcid.org/0000-0002-1097-2044"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Bu","raw_affiliation_strings":["College of Computer Science Zhejiang University Hangzhou 310027 China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science Zhejiang University Hangzhou 310027 China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057484116","display_name":"Guang Qiu","orcid":"https://orcid.org/0000-0002-4669-6328"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Qiu","raw_affiliation_strings":["College of Computer Science Zhejiang University Hangzhou 310027 China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science Zhejiang University Hangzhou 310027 China","institution_ids":["https://openalex.org/I76130692"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392,"provenance":"doaj"},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":63},"biblio":{"volume":null,"issue":null,"first_page":"684","last_page":"691"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Natural Language Processing","score":0.9972,"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":"Natural Language Processing","score":0.9972,"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":"Statistical Machine Translation and Natural Language Processing","score":0.9969,"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/T10286","display_name":"Information Retrieval Techniques and Evaluation","score":0.9962,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.70244074},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information Retrieval","score":0.599733},{"id":"https://openalex.org/keywords/syntax-based-translation-models","display_name":"Syntax-based Translation Models","score":0.577055},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"Topic Modeling","score":0.557884},{"id":"https://openalex.org/keywords/query-analysis","display_name":"Query Analysis","score":0.552487},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to Rank","score":0.551712},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4114972}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.86853373},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.798976},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7359957},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.70244074},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6487409},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.5371578},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.41829285},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4144336},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4114972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4105188},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39634287},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.16521409},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-72584-8_91","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-72584-8_91.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-72584-8_91","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-72584-8_91.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.46}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1230283387","https://openalex.org/W1505083828","https://openalex.org/W1981617416","https://openalex.org/W2018679652","https://openalex.org/W2053959297","https://openalex.org/W2072284402","https://openalex.org/W2079397820","https://openalex.org/W2083834019","https://openalex.org/W2097424059","https://openalex.org/W2103339462","https://openalex.org/W2138049151","https://openalex.org/W2167487145","https://openalex.org/W2292787617"],"related_works":["https://openalex.org/W3125756434","https://openalex.org/W2572349046","https://openalex.org/W2406556739","https://openalex.org/W2392799717","https://openalex.org/W2230616111","https://openalex.org/W2186703450","https://openalex.org/W2146885082","https://openalex.org/W2096359267","https://openalex.org/W2017989738","https://openalex.org/W1981131819"],"abstract_inverted_index":{"In":[0,13],"this":[1,14,41,77],"paper,":[2],"a":[3,44],"novel":[4],"sentence":[5,82],"retrieval":[6,15,93,101,111],"model":[7,94],"with":[8,24,98],"type-based":[9],"expansion":[10],"is":[11],"proposed.":[12],"model,":[16],"sentences":[17,71],"expected":[18],"to":[19,59,74],"be":[20],"relevant":[21,70],"should":[22],"meet":[23],"the":[25,36,51,61,67,85],"requirements":[26],"both":[27],"in":[28,110],"query":[29,32,39],"terms":[30,55],"and":[31,56,103],"types.":[33],"To":[34],"obtain":[35,60],"information":[37,57],"about":[38],"types,":[40],"paper":[42,78],"proposes":[43],"solution":[45],"based":[46],"on":[47],"classification,":[48],"which":[49],"utilizes":[50],"potential":[52],"associations":[53],"between":[54],"types":[58],"optimized":[62],"classification":[63],"results.":[64],"Inspired":[65],"by":[66,83],"idea":[68],"that":[69],"always":[72],"tend":[73],"occur":[75],"nearby,":[76],"further":[79],"re-ranks":[80],"each":[81],"considering":[84],"relevance":[86],"of":[87],"its":[88,107],"adjacent":[89],"sentences.":[90],"The":[91],"proposed":[92],"has":[95],"been":[96],"compared":[97],"other":[99],"traditional":[100],"models":[102],"experiment":[104],"results":[105],"indicate":[106],"significant":[108],"improvements":[109],"effectiveness.":[112]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1566482265","counts_by_year":[],"updated_date":"2024-11-28T14:38:16.153739","created_date":"2016-06-24"}
