{"id":"https://openalex.org/W4412888122","doi":"https://doi.org/10.18653/v1/2025.findings-acl.767","title":"NarGINA: Towards Accurate and Interpretable Children\u2019s Narrative Ability Assessment via Narrative Graphs","display_name":"NarGINA: Towards Accurate and Interpretable Children\u2019s Narrative Ability Assessment via Narrative Graphs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888122","doi":"https://doi.org/10.18653/v1/2025.findings-acl.767"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.767","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.767","pdf_url":"https://aclanthology.org/2025.findings-acl.767.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.767.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002584717","display_name":"Jun Zhong","orcid":"https://orcid.org/0000-0002-9942-3833"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031597824","display_name":"Longwei Xu","orcid":"https://orcid.org/0009-0005-6131-0015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longwei Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104038008","display_name":"Li Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Kong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021252856","display_name":"Xianzhuo Li","orcid":"https://orcid.org/0000-0001-9653-0759"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianzhuo Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101190201","display_name":"Dandan Liang","orcid":"https://orcid.org/0009-0001-4270-3535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dandan Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060588302","display_name":"Junsheng Zhou","orcid":"https://orcid.org/0000-0002-1919-8227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junsheng Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14843","last_page":"14860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13071","display_name":"Digital Storytelling and Education","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13071","display_name":"Digital Storytelling and Education","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9613999724388123,"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/T10533","display_name":"Teaching and Learning Programming","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/narrative","display_name":"Narrative","score":0.9037654399871826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6238480806350708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3974344730377197},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37012290954589844},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3355579376220703},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.15019962191581726},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09663552045822144}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.9037654399871826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238480806350708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3974344730377197},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37012290954589844},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3355579376220703},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.15019962191581726},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09663552045822144}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.767","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.767","pdf_url":"https://aclanthology.org/2025.findings-acl.767.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.767","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.767","pdf_url":"https://aclanthology.org/2025.findings-acl.767.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.44999998807907104,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3152958426","display_name":null,"funder_award_id":"62277031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888122.pdf","grobid_xml":"https://content.openalex.org/works/W4412888122.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2348886128","https://openalex.org/W2388067091","https://openalex.org/W2367656648","https://openalex.org/W2390279801","https://openalex.org/W2350200549","https://openalex.org/W2362132076","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0],"assessment":[1,43,88],"of":[2,29,35,42,71,171],"children's":[3,86,93],"narrative":[4,30,59,72,77,87,94,101,107,114,124,173,182],"ability":[5,115,183],"is":[6,61,178],"crucial":[7],"for":[8,75,181],"diagnosing":[9],"language":[10,143],"disorders":[11],"and":[12,32,67,96,105,139,186],"planning":[13],"interventions.Distinct":[14],"from":[15],"the":[16,27,33,40,58,83,119,136,160,169],"typical":[17],"automated":[18],"essay":[19],"scoring,":[20],"this":[21,79],"task":[22],"focuses":[23],"primarily":[24],"on":[25,91],"evaluating":[26],"completeness":[28],"content":[31],"coherence":[34],"expression,":[36],"as":[37,39],"well":[38,179],"interpretability":[41],"results.To":[44],"address":[45],"these":[46],"issues,":[47],"we":[48,81,97,126],"propose":[49,127],"a":[50,65,100,106,128],"novel":[51],"computational":[52],"assessing":[53],"framework":[54],"NarGINA,":[55],"under":[56],"which":[57],"graph":[60,102,130,137],"introduced":[62],"to":[63,111,117,122,134,145],"provide":[64],"concise":[66],"structured":[68,172],"summary":[69],"representation":[70],"text,":[73],"allowing":[74],"explicit":[76],"measurement.To":[78],"end,":[80],"construct":[82],"first":[84],"Chinese":[85],"corpus":[89],"based":[90],"real":[92],"samples,":[95],"then":[98],"design":[99],"construction":[103],"model":[104,110,121,185],"graph-assisted":[108],"scoring":[109,120],"yield":[112],"accurate":[113],"assessment.Particularly,":[116],"enable":[118],"understand":[123],"graphs,":[125],"multi-view":[129],"contrastive":[131],"learning":[132],"strategy":[133],"pre-train":[135],"encoder":[138],"apply":[140],"instruction-tuned":[141],"large":[142],"models":[144],"generate":[146],"scores.The":[147],"extensive":[148],"experimental":[149],"results":[150],"show":[151],"that":[152,168],"NarGINA":[153],"can":[154],"achieve":[155],"significant":[156],"performance":[157],"improvement":[158],"over":[159],"baselines,":[161],"simultaneously":[162],"possessing":[163],"good":[164],"interpretability.Our":[165],"findings":[166],"reveal":[167],"utilization":[170],"graphs":[174],"beyond":[175],"flat":[176],"text":[177],"suited":[180],"assessment.The":[184],"data":[187],"are":[188],"publicly":[189],"available":[190],"at":[191],"https://github.com/JlexZzz/NarGINA.":[192]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
