{"id":"https://openalex.org/W2753608904","doi":"https://doi.org/10.18653/v1/s17-2174","title":"LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model","display_name":"LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2753608904","doi":"https://doi.org/10.18653/v1/s17-2174","mag":"2753608904"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2174","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2174","pdf_url":"https://www.aclweb.org/anthology/S17-2174.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S17-2174.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065274045","display_name":"Simon David Hernandez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Simon David Hernandez","raw_affiliation_strings":["Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit Paris 13, Sorbonne Paris Cit, Villetaneuse, France","Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit Paris 13, Sorbonne Paris Cit, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091437","https://openalex.org/I1294671590","https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4210156583","https://openalex.org/I4210091437","https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051885442","display_name":"Davide Buscaldi","orcid":"https://orcid.org/0000-0003-1112-3789"},"institutions":[{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Davide Buscaldi","raw_affiliation_strings":["Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit Paris 13, Sorbonne Paris Cit, Villetaneuse, France","Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit Paris 13, Sorbonne Paris Cit, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091437","https://openalex.org/I1294671590","https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4210156583","https://openalex.org/I4210091437","https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082046316","display_name":"Thierry Charnois","orcid":"https://orcid.org/0000-0001-9700-5075"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thierry Charnois","raw_affiliation_strings":["Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit Paris 13, Sorbonne Paris Cit, Villetaneuse, France","Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Villetaneuse, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit Paris 13, Sorbonne Paris Cit, Villetaneuse, France","institution_ids":["https://openalex.org/I4210091437","https://openalex.org/I1294671590","https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire d'Informatique de Paris Nord, CNRS (UMR 7030) Universit\u00e9 Paris 13, Sorbonne Paris Cit\u00e9, Villetaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4210156583","https://openalex.org/I4210091437","https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065274045"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4210091279","https://openalex.org/I4210091437","https://openalex.org/I4210156583"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11791158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"995","last_page":"999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis 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/T13083","display_name":"Advanced Text Analysis 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8972848653793335},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.8141024708747864},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.7286719679832458},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6837925910949707},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5580438375473022},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.556581974029541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.555988073348999},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5094099640846252},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48848187923431396},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4672185182571411},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.42876237630844116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8972848653793335},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.8141024708747864},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7286719679832458},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6837925910949707},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5580438375473022},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.556581974029541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.555988073348999},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5094099640846252},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48848187923431396},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4672185182571411},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.42876237630844116},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s17-2174","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2174","pdf_url":"https://www.aclweb.org/anthology/S17-2174.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2174","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2174","pdf_url":"https://www.aclweb.org/anthology/S17-2174.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 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2753608904.pdf","grobid_xml":"https://content.openalex.org/works/W2753608904.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1907578970","https://openalex.org/W1971947061","https://openalex.org/W2141222516","https://openalex.org/W2145049651","https://openalex.org/W2167329753","https://openalex.org/W2175961425","https://openalex.org/W2394654399","https://openalex.org/W2962903510"],"related_works":["https://openalex.org/W2055466819","https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W3108423214","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2511246383"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,7,60,97],"system":[4,55],"used":[5],"by":[6],"team":[8,23],"LIPN":[9],"in":[10,25],"SemEval":[11],"2017":[12],"Task":[13],"10:":[14],"Extracting":[15],"Keyphrases":[16],"and":[17,43,75,89],"Relations":[18],"from":[19],"Scientific":[20],"Publications.":[21],"The":[22,53],"participated":[24],"Scenario":[26],"1,":[27],"that":[28],"includes":[29],"three":[30],"subtasks,":[31],"Identification":[32],"of":[33,38,45,62,96,99],"keyphrases":[34,40,50,69],"(Subtask":[35,41,51],"A),":[36],"Classification":[37],"identified":[39,49],"B)":[42],"Extraction":[44],"relationships":[46],"between":[47],"two":[48],"C).":[52],"presented":[54],"was":[56,94,104],"mainly":[57],"focused":[58],"on":[59],"use":[61],"part-of-speech":[63],"tag":[64],"sequences":[65],"to":[66,106],"filter":[67],"candidate":[68],"for":[70],"Subtask":[71,92],"A.":[72],"Subtasks":[73],"A":[74],"B":[76],"were":[77],"addressed":[78],"as":[79],"a":[80],"sequence":[81],"labeling":[82],"problem":[83],"using":[84],"Conditional":[85],"Random":[86],"Fields":[87],"(CRFs)":[88],"even":[90],"though":[91],"C":[93],"out":[95],"scope":[98],"this":[100],"approach,":[101],"one":[102],"rule":[103],"included":[105],"identify":[107],"synonyms.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
