{"id":"https://openalex.org/W7148267060","doi":"https://doi.org/10.48550/arxiv.2604.00057","title":"Towards Automatic Soccer Commentary Generation with Knowledge-Enhanced Visual Reasoning","display_name":"Towards Automatic Soccer Commentary Generation with Knowledge-Enhanced Visual Reasoning","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7148267060","doi":"https://doi.org/10.48550/arxiv.2604.00057"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.00057","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00057","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.00057","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132800221","display_name":"Zeyu Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jin, Zeyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132802569","display_name":"Xiaoyu Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Xiaoyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026277472","display_name":"Songtao Zhou","orcid":"https://orcid.org/0009-0008-5972-3955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Songtao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113392275","display_name":"Kaifeng Yun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun, Kaifeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132788225","display_name":"Jia Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia, Jia","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5132800221"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6583999991416931,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6583999991416931,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.12700000405311584,"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/T11439","display_name":"Video Analysis and Summarization","score":0.07890000194311142,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/context","display_name":"Context (archaeology)","score":0.6147000193595886},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5238999724388123},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5159000158309937},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.5091999769210815},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.3971000015735626},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.30660000443458557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698199987411499},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6147000193595886},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5238999724388123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5182999968528748},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.5091999769210815},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37279999256134033},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2921000123023987},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2660999894142151},{"id":"https://openalex.org/C3017957056","wikidata":"https://www.wikidata.org/wiki/Q1331296","display_name":"Game play","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.00057","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00057","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.00057","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.00057","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4874657988548279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Soccer":[0],"commentary":[1,20,35,74,85,113,157],"plays":[2],"a":[3,68,77,177],"crucial":[4],"role":[5],"in":[6,17,38,153],"enhancing":[7],"the":[8,39,58,63,111,133,174,185],"soccer":[9,19,73],"game":[10,59,127],"viewing":[11],"experience":[12,183],"for":[13,176],"audiences.":[14],"Previous":[15],"studies":[16],"automatic":[18],"generation":[21,75],"typically":[22],"adopt":[23],"an":[24],"end-to-end":[25],"method":[26],"to":[27,71,89,100,143],"generate":[28],"anonymous":[29,49,102],"live":[30,43],"text":[31],"commentary.":[32],"Such":[33],"generated":[34],"is":[36,114],"insufficient":[37],"context":[40],"of":[41,57],"real-world":[42],"televised":[44],"commentary,":[45],"as":[46,76,159,161],"it":[47],"contains":[48],"entities,":[50],"context-dependent":[51],"errors":[52],"and":[53,92,107,123,156,165,180],"lacks":[54],"statistical":[55],"insights":[56],"events.":[60],"To":[61],"bridge":[62],"gap,":[64],"we":[65],"propose":[66],"GameSight,":[67],"two-stage":[69],"model":[70],"address":[72],"knowledge-enhanced":[78],"visual":[79,98,106],"reasoning":[80,99],"task,":[81],"enabling":[82],"live-televised-like":[83],"knowledgeable":[84],"with":[86,104,116,147,184],"accurate":[87],"reference":[88],"entities":[90,103],"(players":[91],"teams).":[93],"GameSight":[94,131,151],"starts":[95],"by":[96,118,137],"performing":[97],"align":[101],"fine-grained":[105],"contextual":[108,163],"analysis.":[109],"Subsequently,":[110],"entity-aligned":[112],"refined":[115],"knowledge":[117,149],"incorporating":[119],"external":[120],"historical":[121],"statistics":[122],"iteratively":[124],"updated":[125],"internal":[126],"state":[128],"information.":[129],"Consequently,":[130],"improves":[132],"player":[134],"alignment":[135],"accuracy":[136,155],"18.5%":[138],"on":[139],"SN-Caption-test-align":[140],"dataset":[141],"compared":[142],"Gemini":[144],"2.5-pro.":[145],"Combined":[146],"further":[148],"enhancement,":[150],"outperforms":[152],"segment-level":[154],"quality,":[158],"well":[160],"game-level":[162],"relevance":[164],"structural":[166],"composition.":[167],"We":[168],"believe":[169],"that":[170],"our":[171],"work":[172],"paves":[173],"way":[175],"more":[178],"informative":[179],"engaging":[181],"human-centric":[182],"AI":[186],"sports":[187],"application.":[188],"Demo":[189],"Page:":[190],"https://gamesight2025.github.io/gamesight2025":[191]},"counts_by_year":[],"updated_date":"2026-04-03T16:44:17.987007","created_date":"2026-04-03T00:00:00"}
