{"id":"https://openalex.org/W4389943306","doi":"https://doi.org/10.1162/coli_a_00503","title":"Assessing the Cross-linguistic Utility of Abstract Meaning Representation","display_name":"Assessing the Cross-linguistic Utility of Abstract Meaning Representation","publication_year":2023,"publication_date":"2023-12-19","ids":{"openalex":"https://openalex.org/W4389943306","doi":"https://doi.org/10.1162/coli_a_00503"},"language":"en","primary_location":{"id":"doi:10.1162/coli_a_00503","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00503","pdf_url":"https://direct.mit.edu/coli/article-pdf/doi/10.1162/coli_a_00503/2198446/coli_a_00503.pdf","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://direct.mit.edu/coli/article-pdf/doi/10.1162/coli_a_00503/2198446/coli_a_00503.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075058724","display_name":"Shira Wein","orcid":"https://orcid.org/0000-0002-1062-0866"},"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":"Shira Wein","raw_affiliation_strings":["Georgetown University Department of Computer Science sbmw15@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgetown University Department of Computer Science sbmw15@gmail.com","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","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 Department of Computer Science Nathan.Schneider@georgetown.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgetown University Department of Computer Science Nathan.Schneider@georgetown.edu","institution_ids":["https://openalex.org/I184565670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":0.3871,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70039618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"50","issue":"2","first_page":"419","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T13629","display_name":"Text Readability and Simplification","score":0.9976999759674072,"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":0.762142539024353},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.635258674621582},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6306089162826538},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6089149713516235},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.6071012020111084},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5884711742401123},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5403504967689514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517760694026947},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.498746395111084},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42914968729019165},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15980258584022522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762142539024353},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.635258674621582},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6306089162826538},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6089149713516235},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6071012020111084},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5884711742401123},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5403504967689514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517760694026947},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.498746395111084},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42914968729019165},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15980258584022522},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/coli_a_00503","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00503","pdf_url":"https://direct.mit.edu/coli/article-pdf/doi/10.1162/coli_a_00503/2198446/coli_a_00503.pdf","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:851d3fc00eab48309969f4d1e0ffde18","is_oa":true,"landing_page_url":"https://doaj.org/article/851d3fc00eab48309969f4d1e0ffde18","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Linguistics, Vol 50, Iss 2 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/coli_a_00503","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00503","pdf_url":"https://direct.mit.edu/coli/article-pdf/doi/10.1162/coli_a_00503/2198446/coli_a_00503.pdf","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389943306.pdf","grobid_xml":"https://content.openalex.org/works/W4389943306.grobid-xml"},"referenced_works_count":126,"referenced_works":["https://openalex.org/W655477013","https://openalex.org/W1551338604","https://openalex.org/W1607035479","https://openalex.org/W1608124888","https://openalex.org/W1986345088","https://openalex.org/W1988012253","https://openalex.org/W2028776121","https://openalex.org/W2101105183","https://openalex.org/W2131017041","https://openalex.org/W2135836755","https://openalex.org/W2137076533","https://openalex.org/W2146351783","https://openalex.org/W2195986012","https://openalex.org/W2251160286","https://openalex.org/W2295121333","https://openalex.org/W2408614821","https://openalex.org/W2462305634","https://openalex.org/W2511149676","https://openalex.org/W2529348296","https://openalex.org/W2531638282","https://openalex.org/W2594470997","https://openalex.org/W2600463316","https://openalex.org/W2606900862","https://openalex.org/W2613000335","https://openalex.org/W2623186251","https://openalex.org/W2674774707","https://openalex.org/W2738658885","https://openalex.org/W2739952768","https://openalex.org/W2741900445","https://openalex.org/W2758950307","https://openalex.org/W2759181158","https://openalex.org/W2771976988","https://openalex.org/W2788465415","https://openalex.org/W2804782778","https://openalex.org/W2807626952","https://openalex.org/W2810418360","https://openalex.org/W2888912028","https://openalex.org/W2915977242","https://openalex.org/W2916009164","https://openalex.org/W2916721475","https://openalex.org/W2937818459","https://openalex.org/W2949426497","https://openalex.org/W2952899916","https://openalex.org/W2964022663","https://openalex.org/W2964515912","https://openalex.org/W2972508764","https://openalex.org/W2972792208","https://openalex.org/W2972961728","https://openalex.org/W2973195145","https://openalex.org/W3034329603","https://openalex.org/W3035749055","https://openalex.org/W3039695075","https://openalex.org/W3042429451","https://openalex.org/W3084179749","https://openalex.org/W3098041136","https://openalex.org/W3098396250","https://openalex.org/W3099600920","https://openalex.org/W3101221466","https://openalex.org/W3117290716","https://openalex.org/W3117367489","https://openalex.org/W3159560594","https://openalex.org/W3164106511","https://openalex.org/W3167337824","https://openalex.org/W3167860749","https://openalex.org/W3173651177","https://openalex.org/W3174759214","https://openalex.org/W3175216677","https://openalex.org/W3175759677","https://openalex.org/W3176355530","https://openalex.org/W3176396223","https://openalex.org/W3176852325","https://openalex.org/W3179165853","https://openalex.org/W3181088491","https://openalex.org/W3185038183","https://openalex.org/W3185136421","https://openalex.org/W3185414019","https://openalex.org/W3193312199","https://openalex.org/W3196552872","https://openalex.org/W3201769072","https://openalex.org/W3212104012","https://openalex.org/W3212259963","https://openalex.org/W3212265961","https://openalex.org/W4206071802","https://openalex.org/W4212787488","https://openalex.org/W4223555496","https://openalex.org/W4225005289","https://openalex.org/W4235492620","https://openalex.org/W4280564512","https://openalex.org/W4287854400","https://openalex.org/W4287888115","https://openalex.org/W4288284086","https://openalex.org/W4290974148","https://openalex.org/W4303105513","https://openalex.org/W4306317203","https://openalex.org/W4308084257","https://openalex.org/W4309810821","https://openalex.org/W4379260079","https://openalex.org/W4385572788","https://openalex.org/W4385573693","https://openalex.org/W4391156274","https://openalex.org/W4404815085","https://openalex.org/W6622380327","https://openalex.org/W6675864742","https://openalex.org/W6678262379","https://openalex.org/W6680457595","https://openalex.org/W6681703963","https://openalex.org/W6682058439","https://openalex.org/W6691329670","https://openalex.org/W6691556129","https://openalex.org/W6691737110","https://openalex.org/W6691848947","https://openalex.org/W6729945695","https://openalex.org/W6732580787","https://openalex.org/W6751734572","https://openalex.org/W6755207826","https://openalex.org/W6761205521","https://openalex.org/W6765386044","https://openalex.org/W6783462938","https://openalex.org/W6783475017","https://openalex.org/W6788465988","https://openalex.org/W6800482005","https://openalex.org/W6838584320","https://openalex.org/W6845877115","https://openalex.org/W6846039144","https://openalex.org/W6853365759","https://openalex.org/W7000626104"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2142145894","https://openalex.org/W2377185541","https://openalex.org/W2378553216","https://openalex.org/W2462900308","https://openalex.org/W2096992842","https://openalex.org/W2362026785","https://openalex.org/W2171044983","https://openalex.org/W2914151043","https://openalex.org/W2358573072"],"abstract_inverted_index":{"Abstract":[0,9],"Semantic":[1],"representations":[2,164],"capture":[3,216],"the":[4,46,69,119,133,172,201],"meaning":[5,89,217,241],"of":[6,15,43,48,74,80,123,135,165,203,237],"a":[7,13,41,178],"text.":[8],"Meaning":[10],"Representation":[11],"(AMR),":[12],"type":[14],"semantic":[16],"representation,":[17],"focuses":[18],"on":[19,63,181],"predicate-argument":[20],"structure":[21,147],"and":[22,55,72,95,121,152,184,188,240],"abstracts":[23],"away":[24],"from":[25],"surface":[26],"form.":[27],"Though":[28],"AMR":[29,65,87,98,138,146,159,182,197,212],"was":[30],"developed":[31],"initially":[32],"for":[33],"English,":[34],"it":[35],"has":[36],"now":[37],"been":[38],"adapted":[39],"to":[40,102,162,193,215,222,232],"multitude":[42],"languages":[44],"in":[45,78,90,125,140,195],"form":[47],"non-English":[49],"annotation":[50],"schemas,":[51],"cross-lingual":[52,64,91,154,158,166,196],"text-to-AMR":[53],"parsing,":[54],"AMR-to-(non-English)":[56],"text":[57],"generation.":[58],"We":[59,110,169,199],"advance":[60],"prior":[61],"work":[62],"by":[66,150],"thoroughly":[67],"investigating":[68],"amount,":[70],"types,":[71],"causes":[73,122],"differences":[75,106,124,194],"that":[76,97,145,171,185],"appear":[77],"AMRs":[79],"different":[81,141],"languages.":[82],"Further,":[83],"we":[84,131],"compare":[85,161],"how":[86,156],"captures":[88],"pairs":[92,139,160],"versus":[93],"strings,":[94],"show":[96],"graphs":[99],"are":[100,118,231],"able":[101],"draw":[103],"out":[104],"fine-grained":[105],"between":[107,137],"parallel":[108,126],"sentences.":[109],"explore":[111,200],"three":[112],"primary":[113],"research":[114],"questions:":[115],"(1)":[116],"What":[117],"types":[120],"AMRs?":[127],"(2)":[128],"How":[129],"can":[130],"measure":[132],"amount":[134],"difference":[136],"languages?":[142],"(3)":[143],"Given":[144],"is":[148,213],"affected":[149],"language":[151,174,227],"exhibits":[153],"differences,":[155],"do":[157],"string-based":[163],"sentence":[167],"pairs?":[168],"find":[170],"source":[173,226],"itself":[175],"does":[176],"have":[177],"measurable":[179],"impact":[180],"structure,":[183],"translation":[186],"divergences":[187],"annotator":[189],"choices":[190],"also":[191],"lead":[192],"pairs.":[198],"implications":[202],"this":[204],"finding":[205],"throughout":[206],"our":[207],"study,":[208],"concluding":[209],"that,":[210],"although":[211],"useful":[214],"across":[218],"languages,":[219],"evaluations":[220],"need":[221],"take":[223],"into":[224],"account":[225],"influences":[228],"if":[229],"they":[230],"paint":[233],"an":[234],"accurate":[235],"picture":[236],"system":[238],"output,":[239],"generally.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
