{"id":"https://openalex.org/W2973549659","doi":"https://doi.org/10.18653/v1/k19-1017","title":"Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses","display_name":"Made for Each Other: Broad-Coverage Semantic Structures Meet Preposition Supersenses","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2973549659","doi":"https://doi.org/10.18653/v1/k19-1017","mag":"2973549659"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k19-1017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1017","pdf_url":"https://www.aclweb.org/anthology/K19-1017.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K19-1017.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022361649","display_name":"Jakob Prange","orcid":"https://orcid.org/0000-0002-4640-5295"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jakob Prange","raw_affiliation_strings":["Georgetown University"],"affiliations":[{"raw_affiliation_string":"Georgetown University","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014008069","display_name":"Nathan Schneider","orcid":"https://orcid.org/0000-0002-2745-0533"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Schneider","raw_affiliation_strings":["Georgetown University"],"affiliations":[{"raw_affiliation_string":"Georgetown University","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059068945","display_name":"Omri Abend","orcid":"https://orcid.org/0000-0003-4311-3876"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Omri Abend","raw_affiliation_strings":["The Hebrew University of Jerusalem","[Hebrew university of Jerusalem]"],"affiliations":[{"raw_affiliation_string":"The Hebrew University of Jerusalem","institution_ids":["https://openalex.org/I197251160"]},{"raw_affiliation_string":"[Hebrew university of Jerusalem]","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022361649"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10803479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T12031","display_name":"Speech and dialogue systems","score":0.9915000200271606,"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/annotation","display_name":"Annotation","score":0.7156509160995483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6958038806915283},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6492305994033813},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6098743081092834},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.5998347401618958},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5961831212043762},{"id":"https://openalex.org/keywords/semantic-annotation","display_name":"Semantic annotation","score":0.5732167363166809},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5552458763122559},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.5486170649528503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5229519009590149},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5112507343292236},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.4675789177417755},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4627736806869507},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14810192584991455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13785642385482788},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09536394476890564},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08523157238960266}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7156509160995483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958038806915283},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6492305994033813},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6098743081092834},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5998347401618958},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5961831212043762},{"id":"https://openalex.org/C2985727698","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Semantic annotation","level":3,"score":0.5732167363166809},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5552458763122559},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.5486170649528503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5229519009590149},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5112507343292236},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.4675789177417755},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4627736806869507},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14810192584991455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13785642385482788},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09536394476890564},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08523157238960266},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.18653/v1/k19-1017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1017","pdf_url":"https://www.aclweb.org/anthology/K19-1017.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.08796","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.08796","pdf_url":"https://arxiv.org/pdf/1909.08796","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2973549659","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1909.08796v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:117833","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/117833","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceobject"},{"id":"doi:10.48550/arxiv.1909.08796","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1909.08796","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/k19-1017","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k19-1017","pdf_url":"https://www.aclweb.org/anthology/K19-1017.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 23rd Conference on Computational Natural Language Learning (CoNLL)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2266675666","display_name":null,"funder_award_id":"IIS-1812778","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2670690930","display_name":"NSF-BSF: RI: Small: Collaborative Research: Modeling Crosslinguistic Influences Between Language Varieties","funder_award_id":"1812778","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320950","display_name":"United States-Israel Binational Science Foundation","ror":"https://ror.org/00j8z2m73"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973549659.pdf","grobid_xml":"https://content.openalex.org/works/W2973549659.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W630883834","https://openalex.org/W1504636771","https://openalex.org/W1517853909","https://openalex.org/W1523189118","https://openalex.org/W1563567452","https://openalex.org/W1834149421","https://openalex.org/W1997558347","https://openalex.org/W2038248725","https://openalex.org/W2043126905","https://openalex.org/W2047991283","https://openalex.org/W2088911157","https://openalex.org/W2108402998","https://openalex.org/W2113686673","https://openalex.org/W2132352641","https://openalex.org/W2158847908","https://openalex.org/W2160920407","https://openalex.org/W2164177402","https://openalex.org/W2169054827","https://openalex.org/W2250537251","https://openalex.org/W2252123671","https://openalex.org/W2301095666","https://openalex.org/W2471690557","https://openalex.org/W2567181374","https://openalex.org/W2604593109","https://openalex.org/W2740230898","https://openalex.org/W2741481273","https://openalex.org/W2785523195","https://openalex.org/W2798794824","https://openalex.org/W2804491852","https://openalex.org/W2888882903","https://openalex.org/W2902833012","https://openalex.org/W2913340405","https://openalex.org/W2918919089","https://openalex.org/W2955403921","https://openalex.org/W2962739339","https://openalex.org/W2963218773","https://openalex.org/W2963235009","https://openalex.org/W2963341956","https://openalex.org/W2964233404","https://openalex.org/W2964262197","https://openalex.org/W2964303116","https://openalex.org/W2964350525","https://openalex.org/W2972425807","https://openalex.org/W2972821425"],"related_works":["https://openalex.org/W2986387660","https://openalex.org/W3212323134","https://openalex.org/W2251560724","https://openalex.org/W2168347636","https://openalex.org/W3117283657","https://openalex.org/W3030260349","https://openalex.org/W2186307978","https://openalex.org/W3000277287","https://openalex.org/W2577260496","https://openalex.org/W1662385433","https://openalex.org/W2251372568","https://openalex.org/W3032713407","https://openalex.org/W2101970129","https://openalex.org/W1512661636","https://openalex.org/W2250576312","https://openalex.org/W1495260537","https://openalex.org/W3022195534","https://openalex.org/W169195913","https://openalex.org/W1998217952","https://openalex.org/W1981872712"],"abstract_inverted_index":{"Universal":[0],"Conceptual":[1],"Cognitive":[2],"Annotation":[3],"(UCCA;":[4],"Abend":[5],"and":[6,58],"Rappoport,":[7],"2013)":[8],"is":[9],"a":[10,63],"typologically-informed,":[11],"broad-coverage":[12],"semantic":[13,24,33,65],"annotation":[14,30],"scheme":[15],"that":[16,28,50],"describes":[17],"coarse-grained":[18],"predicate-argument":[19],"structure":[20],"but":[21],"currently":[22],"lacks":[23],"roles.":[25],"We":[26,45],"argue":[27],"lexicon-free":[29],"of":[31,69],"the":[32,51,74,78],"roles":[34],"marked":[35],"by":[36,40],"prepositions,":[37],"as":[38],"formulated":[39],"Schneider":[41],"et":[42],"al.":[43],"(":[44],"show":[46],"empirically":[47],"for":[48,80],"English":[49],"schemes,":[52],"though":[53],"annotated":[54],"independently,":[55],"are":[56],"compatible":[57],"can":[59],"be":[60],"combined":[61],"in":[62],"single":[64],"graph.":[66],"A":[67],"comparison":[68],"several":[70],"approaches":[71],"to":[72],"parsing":[73],"integrated":[75],"representation":[76],"lays":[77],"groundwork":[79],"future":[81],"research":[82],"on":[83],"this":[84],"task.":[85]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
