{"id":"https://openalex.org/W2618373326","doi":"https://doi.org/10.1145/3077240.3077253","title":"Thomson Reuters' Solution for Triple Ranking in the FEIII 2017 Challenge","display_name":"Thomson Reuters' Solution for Triple Ranking in the FEIII 2017 Challenge","publication_year":2017,"publication_date":"2017-05-14","ids":{"openalex":"https://openalex.org/W2618373326","doi":"https://doi.org/10.1145/3077240.3077253","mag":"2618373326"},"language":"en","primary_location":{"id":"doi:10.1145/3077240.3077253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077240.3077253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on Data Science for Macro--Modeling with Financial and Economic Datasets","raw_type":"proceedings-article"},"type":"dataset","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027003219","display_name":"Elizabeth Roman","orcid":null},"institutions":[{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth Roman","raw_affiliation_strings":["Thomson Reuters, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thomson Reuters, Boston, MA","institution_ids":["https://openalex.org/I68384125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090975390","display_name":"Brian Ulicny","orcid":null},"institutions":[{"id":"https://openalex.org/I68384125","display_name":"Thomson Reuters (United States)","ror":"https://ror.org/00m7gt169","country_code":"US","type":"company","lineage":["https://openalex.org/I68384125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Ulicny","raw_affiliation_strings":["Thomson Reuters, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thomson Reuters, Boston, MA","institution_ids":["https://openalex.org/I68384125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041777043","display_name":"Yilun Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilun Du","raw_affiliation_strings":["MIT, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091084197","display_name":"Srijith Poduval","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srijith Poduval","raw_affiliation_strings":["MIT, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013738036","display_name":"Allan Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allan Ko","raw_affiliation_strings":["MIT, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9302999973297119,"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":0.9302999973297119,"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/T11719","display_name":"Data Quality and Management","score":0.9276000261306763,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9153000116348267,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8923726081848145},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.7508283853530884},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7253069281578064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205524444580078},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6241002082824707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311132073402405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5021178722381592},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.4405515193939209},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35409820079803467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3445914089679718},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13061925768852234},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0730900764465332}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8923726081848145},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.7508283853530884},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7253069281578064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205524444580078},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6241002082824707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311132073402405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5021178722381592},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4405515193939209},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35409820079803467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3445914089679718},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13061925768852234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0730900764465332},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077240.3077253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077240.3077253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on Data Science for Macro--Modeling with Financial and Economic Datasets","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4250555350"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W2138488530","https://openalex.org/W4385565564","https://openalex.org/W2370100764","https://openalex.org/W2031468273","https://openalex.org/W2387658907","https://openalex.org/W2351112195","https://openalex.org/W2898073868","https://openalex.org/W2110822809","https://openalex.org/W2352397247"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"describe":[4],"our":[5,56,82],"approach":[6],"to":[7,37],"the":[8,13,50,62,71,108],"triple":[9],"ranking":[10,88,117],"task":[11],"of":[12,43,55,89,99,104,120],"FEIII":[14,78],"2017":[15],"challenge.":[16],"Our":[17],"method":[18,57],"leveraged":[19],"different":[20],"machine":[21],"learning":[22],"classifiers":[23],"in":[24,39,86,93,114],"an":[25],"ensemble":[26],"as":[27,29,68],"well":[28],"Thomson":[30],"Reuters":[31],"knowledge":[32,42],"bases":[33],"and":[34,46,73],"information":[35,48],"services":[36],"bring":[38],"external":[40],"world":[41],"mentioned":[44],"entities":[45],"extract":[47],"from":[49],"contextual":[51],"sentences.":[52],"Internal":[53],"evaluation":[54,80],"was":[58],"done":[59],"by":[60,70],"computing":[61],"Normalized":[63],"Discounted":[64],"Cumulative":[65],"Gain":[66],"(NDCG)":[67],"tracked":[69],"challenge":[72],"classification":[74],"accuracy.":[75],"The":[76],"official":[77],"Challenge":[79],"showed":[81],"system":[83,109],"performed":[84,111],"highly":[85],"single":[87],"all":[90],"triples,":[91],"placing":[92],"2nd":[94],"or":[95],"3rd":[96],"place":[97],"out":[98],"17":[100],"participants":[101],"for":[102,118],"4":[103,119],"6":[105,121],"scoring":[106,125],"variants;":[107],"also":[110],"above":[112],"average":[113,122],"per":[115],"role":[116,123],"NDCG":[124],"variants.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
