{"id":"https://openalex.org/W2612888458","doi":"https://doi.org/10.1145/3041021.3054240","title":"An Effective Framework for Question Answering over Freebase via Reconstructing Natural Sequences","display_name":"An Effective Framework for Question Answering over Freebase via Reconstructing Natural Sequences","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2612888458","doi":"https://doi.org/10.1145/3041021.3054240","mag":"2612888458"},"language":"en","primary_location":{"id":"doi:10.1145/3041021.3054240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3041021.3054240","pdf_url":null,"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 26th International Conference on World Wide Web Companion - WWW '17 Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3041021.3054240","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070922799","display_name":"Bin Yue","orcid":"https://orcid.org/0000-0002-5896-9311"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Yue","raw_affiliation_strings":["Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113110337","display_name":"Min Gui","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Gui","raw_affiliation_strings":["Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017376941","display_name":"Jiahui Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Guo","raw_affiliation_strings":["Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013188461","display_name":"Zhenglu Yang","orcid":"https://orcid.org/0000-0001-9528-965X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenglu Yang","raw_affiliation_strings":["Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037600606","display_name":"Jinmao Wei","orcid":"https://orcid.org/0000-0003-0809-6687"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Mao Wei","raw_affiliation_strings":["Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003277535","display_name":"Shaodi You","orcid":"https://orcid.org/0000-0001-8973-645X"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shaodi You","raw_affiliation_strings":["Data61-CSIRO Australian National University, Canberra , Australia"],"affiliations":[{"raw_affiliation_string":"Data61-CSIRO Australian National University, Canberra , Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070922799"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":1.3652,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85526021,"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":"865","last_page":"866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/question-answering","display_name":"Question answering","score":0.8620482683181763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8052248954772949},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7159579992294312},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6313812136650085},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.6081326007843018},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5397220253944397},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42838239669799805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4055342674255371}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8620482683181763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052248954772949},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7159579992294312},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6313812136650085},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.6081326007843018},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5397220253944397},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42838239669799805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4055342674255371},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3041021.3054240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3041021.3054240","pdf_url":null,"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 26th International Conference on World Wide Web Companion - WWW '17 Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3041021.3054240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3041021.3054240","pdf_url":null,"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 26th International Conference on World Wide Web Companion - WWW '17 Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5400000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1894439495","https://openalex.org/W1966443646","https://openalex.org/W2148721079","https://openalex.org/W2251287417","https://openalex.org/W2252136820","https://openalex.org/W2964212344"],"related_works":["https://openalex.org/W128392744","https://openalex.org/W207304934","https://openalex.org/W1602736231","https://openalex.org/W1483367581","https://openalex.org/W15319282","https://openalex.org/W1603484109","https://openalex.org/W2992695426","https://openalex.org/W2612365261","https://openalex.org/W2950194577","https://openalex.org/W2401174719"],"abstract_inverted_index":{"Question":[0],"answering":[1],"over":[2],"knowledge":[3,29,70],"bases":[4,30],"has":[5],"rapidly":[6],"developed":[7],"with":[8],"the":[9,18,23,28,45,48,52,57,62,65,88,103],"continuous":[10],"expansion":[11],"of":[12,64,105,120],"resources.":[13],"However,":[14],"how":[15],"to":[16,22,116],"match":[17],"natural":[19,59],"language":[20],"question":[21,50],"structured":[24],"answer":[25,53,90],"entities":[26,66],"in":[27,69,118],"remains":[31],"a":[32,97],"major":[33],"challenge.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"an":[40],"effective":[41],"framework":[42],"that":[43,76,85],"bridges":[44],"gap":[46],"between":[47],"given":[49],"and":[51,67],"entities,":[54],"by":[55,114],"reconstructing":[56],"intermediate":[58,78],"sequences":[60,79],"on":[61,96],"basis":[63],"relations":[68],"bases.":[71],"The":[72],"intuitive":[73],"idea":[74],"is":[75,94],"these":[77],"may":[80],"encode":[81],"rich":[82],"semantic":[83],"information":[84],"can":[86],"identify":[87],"candidate":[89],"entities.":[91],"Experimental":[92],"evaluation":[93],"conducted":[95],"benchmark":[98],"dataset":[99],"WebQuestions.":[100],"Results":[101],"demonstrate":[102],"effectiveness":[104],"our":[106],"proposed":[107],"framework,":[108],"i.e.,":[109],"it":[110],"outperforms":[111],"state-of-the-art":[112],"models":[113],"up":[115],"6.8%":[117],"terms":[119],"F1":[121],"score.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
