{"id":"https://openalex.org/W2520082489","doi":null,"title":"Spatial role labeling using structured support vector machines","display_name":"Spatial role labeling using structured support vector machines","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2520082489","mag":"2520082489"},"language":"en","primary_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/350300","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/350300","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/350300/1/SpRL_benelearnAbs.pdf","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Belgian-Dutch conference on machine learning (BeneLearn), Ghent","raw_type":"info:eu-repo/semantics/publishedVersion"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/bitstream/123456789/350300/1/SpRL_benelearnAbs.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087682739","display_name":"Parisa Kordjamshidi","orcid":"https://orcid.org/0000-0002-4606-1824","observed_orcids":["https://orcid.org/0000-0002-4606-1824"]},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Parisa Kordjamshidi","raw_affiliation_strings":["Katholieke Universiteit Leuven"],"raw_orcid":"https://orcid.org/0000-0002-4606-1824","affiliations":[{"raw_affiliation_string":"Katholieke Universiteit Leuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075796989","display_name":"Marie\u2010Francine Moens","orcid":"https://orcid.org/0000-0002-3732-9323","observed_orcids":["https://orcid.org/0000-0002-3732-9323"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marie\u2010Francine Moens","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3732-9323","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"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":null,"biblio":{"volume":"21","issue":null,"first_page":"71","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9291999936103821,"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":0.9291999936103821,"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":0.0471000000834465,"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/T12694","display_name":"Categorization, perception, and language","score":0.007499999832361937,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spatial-indicators","display_name":"spatial indicators","score":0.7080000042915344},{"id":"https://openalex.org/keywords/trajectories","display_name":"trajectories","score":0.8519999980926514},{"id":"https://openalex.org/keywords/landmarks","display_name":"landmarks","score":0.984000027179718},{"id":"https://openalex.org/keywords/spatial-relationships","display_name":"spatial relations","score":0.9210000038146973},{"id":"https://openalex.org/keywords/structured-support-vector-machines","display_name":"structured support vector machines","score":0.8529999852180481},{"id":"https://openalex.org/keywords/spatial-information-extraction","display_name":"spatial information extraction","score":0.6840000152587891},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.5329999923706055}],"concepts":[{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.8266593217849731},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.7581807971000671},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.679156482219696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731956601142883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67087721824646},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6038104295730591},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.5996886491775513},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5844895839691162},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5287474989891052},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5214980244636536},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48423051834106445},{"id":"https://openalex.org/C194226119","wikidata":"https://www.wikidata.org/wiki/Q161779","display_name":"Spatial reference system","level":2,"score":0.47791537642478943},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4581978917121887},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4461643099784851},{"id":"https://openalex.org/C2781179811","wikidata":"https://www.wikidata.org/wiki/Q28134081","display_name":"Spatial configuration","level":3,"score":0.44272685050964355},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4213695228099823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3334718346595764},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2014186978340149},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16861402988433838},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16726288199424744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07283225655555725},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.07236653566360474},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/350300","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/350300","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/350300/1/SpRL_benelearnAbs.pdf","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Belgian-Dutch conference on machine learning (BeneLearn), Ghent","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"mag:2520082489","doi":null,"is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/350300/1/SpRL_benelearnAbs.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/350300","doi":null,"is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/350300","pdf_url":"https://lirias.kuleuven.be/bitstream/123456789/350300/1/SpRL_benelearnAbs.pdf","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Belgian-Dutch conference on machine learning (BeneLearn), Ghent","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2520082489.pdf","grobid_xml":"https://content.openalex.org/works/W2520082489.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2051826382","https://openalex.org/W2105842272"],"related_works":["https://openalex.org/W6941398748","https://openalex.org/W7034868664","https://openalex.org/W2387035233","https://openalex.org/W2051826382","https://openalex.org/W2238755921","https://openalex.org/W140043548","https://openalex.org/W7095667582","https://openalex.org/W2971175489","https://openalex.org/W7034029809","https://openalex.org/W1569418365"],"abstract_inverted_index":{"Extraction":[0],"of":[1,24,61,83,107,147],"spatial":[2,25,41,53,67,70,84,130,142,148,154],"information":[3,17,85],"from":[4],"natural":[5],"language":[6,47],"is":[7,29,64,90,95,99,128,133,139,144],"a":[8,30,87,100,108,129,134,145],"challenging":[9],"problem":[10],"in":[11,45,86,112,119,156],"applications":[12],"such":[13],"as":[14],"robotics,":[15],"geographical":[16],"systems":[18],"and":[19,43,73,75,97,136,161],"human-machine":[20],"interaction.":[21],"The":[22,58,115],"task":[23,33,63],"role":[26],"labeling":[27],"(SpRL)":[28],"newly":[31],"introduced":[32],"(Kordjamshidi":[34],"et":[35],"al.,":[36],"2011)":[37],"that":[38],"formalizes":[39],"the":[40,46,81,105,113,121,125],"concepts":[42],"relations":[44,155],"to":[48,51,65],"be":[49],"mapped":[50],"formal":[52],"calculus":[54],"using":[55],"machine":[56],"learning.":[57],"first":[59],"level":[60],"this":[62,157],"extract":[66],"roles":[68],"called":[69],"indicators(ind),":[71],"trajectories(tr)":[72],"landmarks(lm)":[74],"their":[76],"link.":[77],"Spatial":[78],"indicators":[79],"indicate":[80],"existence":[82],"sentence.":[88],"Trajector":[89],"an":[91],"entity":[92],"whose":[93],"location":[94,106],"described":[96],"landmark":[98,138],"reference":[101],"object":[102],"for":[103],"describing":[104],"trajector.":[109],"For":[110],"example":[111],"sentence:":[114,158],"book":[116,132],"on":[117,120,127],"AI":[118],"table":[122],"behind":[123],"you.,":[124],"second":[126],"indicator.":[131],"trajector":[135],"its":[137],"table.":[140],"A":[141],"relation":[143],"triplet":[146],"roles.":[149],"Hence,":[150],"there":[151],"are":[152],"two":[153],".":[163]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-09-23T00:00:00"}
