{"id":"https://openalex.org/W4403582644","doi":"https://doi.org/10.1145/3627673.3679934","title":"GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding","display_name":"GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582644","doi":"https://doi.org/10.1145/3627673.3679934"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679934","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","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/A5065786703","display_name":"Y. H. Yan","orcid":"https://orcid.org/0009-0006-2546-1403"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yibo Yan","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002759582","display_name":"Joey Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114190","display_name":"Shanghai Zhangjiang Laboratory","ror":"https://ror.org/0208qbg77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Joey Lee","raw_affiliation_strings":["Shanghai Zhangjiang Institute of Mathematics, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Zhangjiang Institute of Mathematics, Shanghai, China","institution_ids":["https://openalex.org/I4210114190"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065786703"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.8131,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87685954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4163","last_page":"4167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9944000244140625,"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":0.6194224953651428},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5882360339164734},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5728618502616882},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.554224967956543},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42643916606903076},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.39128872752189636},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33319759368896484},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.15005680918693542},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.10028040409088135},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08609536290168762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194224953651428},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5882360339164734},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5728618502616882},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.554224967956543},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42643916606903076},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.39128872752189636},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33319759368896484},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.15005680918693542},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.10028040409088135},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08609536290168762}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679934","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1980800232","https://openalex.org/W2003094793","https://openalex.org/W2096765155","https://openalex.org/W2099649694","https://openalex.org/W2141835599","https://openalex.org/W2162407175","https://openalex.org/W2226371358","https://openalex.org/W2574923006","https://openalex.org/W2593537191","https://openalex.org/W2755127771","https://openalex.org/W3011411500","https://openalex.org/W3024097351","https://openalex.org/W3104415840","https://openalex.org/W4245433483","https://openalex.org/W4390122024","https://openalex.org/W4396735245","https://openalex.org/W4401043550"],"related_works":["https://openalex.org/W4283262748","https://openalex.org/W2502773048","https://openalex.org/W4252362398","https://openalex.org/W48866389","https://openalex.org/W2117651364","https://openalex.org/W3112533414","https://openalex.org/W2490481324","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"In":[0],"human":[1],"reading":[2],"and":[3,17,65,119,126,145,165],"communication,":[4],"individuals":[5],"tend":[6],"to":[7,61,110,148,169],"engage":[8],"in":[9,158],"geospatial":[10,63,73,120],"reasoning,":[11],"which":[12],"involves":[13],"recognizing":[14],"geographic":[15],"entities":[16],"making":[18],"informed":[19],"inferences":[20],"about":[21],"their":[22],"interrelationships.":[23],"To":[24,84],"mimic":[25],"such":[26],"cognitive":[27],"process,":[28],"current":[29],"methods":[30,50],"either":[31],"utilize":[32],"conventional":[33],"natural":[34,45,100],"language":[35,46,92],"understanding":[36],"toolkits,":[37],"or":[38],"directly":[39],"apply":[40],"models":[41],"pretrained":[42],"on":[43,97,117,142],"geo-related":[44],"corpora.":[47],"However,":[48],"these":[49,86],"face":[51],"two":[52],"significant":[53],"challenges:":[54],"i)":[55],"they":[56,67],"do":[57],"not":[58],"generalize":[59],"well":[60],"unseen":[62],"scenarios,":[64],"ii)":[66],"overlook":[68],"the":[69,82,138,170],"importance":[70],"of":[71,95],"integrating":[72],"context":[74],"from":[75,81],"geographical":[76],"databases":[77],"with":[78],"linguistic":[79,118],"information":[80,128],"Internet.":[83],"handle":[85],"challenges,":[87],"we":[88],"propose":[89],"GeoReasoner,":[90],"a":[91,112],"model":[93,139],"capable":[94],"reasoning":[96],"geospatially":[98],"grounded":[99],"language.":[101],"Specifically,":[102],"it":[103],"first":[104],"leverages":[105],"Large":[106],"Language":[107],"Models":[108],"(LLMs)":[109],"generate":[111],"comprehensive":[113],"location":[114],"description":[115],"based":[116],"information.":[121],"It":[122],"also":[123],"encodes":[124],"direction":[125],"distance":[127],"into":[129],"spatial":[130],"embedding":[131],"via":[132],"treating":[133],"them":[134],"as":[135],"pseudo-sentences.":[136],"Consequently,":[137],"is":[140],"trained":[141],"both":[143],"anchor-level":[144],"neighbor-level":[146],"inputs":[147],"learn":[149],"geo-entity":[150,166],"representation.":[151],"Extensive":[152],"experimental":[153],"results":[154],"demonstrate":[155],"GeoReasone's":[156],"superiority":[157],"three":[159],"tasks:":[160],"toponym":[161,163],"recognition,":[162],"linking,":[164],"typing,":[167],"compared":[168],"state-of-the-art":[171],"baselines.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}