{"id":"https://openalex.org/W7166557817","doi":"https://doi.org/10.48550/arxiv.2606.27965","title":"Grammar-Guided Hierarchical Parsing for Long-form Audio Activity Recognition","display_name":"Grammar-Guided Hierarchical Parsing for Long-form Audio Activity Recognition","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166557817","doi":"https://doi.org/10.48550/arxiv.2606.27965"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.27965","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27965","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.27965","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056795737","display_name":"P Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139589989","display_name":"Qingyu Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Qingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139597181","display_name":"Philip J. B. Jackson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jackson, Philip J. B.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139549765","display_name":"Wenwu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenwu","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":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/T11309","display_name":"Music and Audio Processing","score":0.9316999912261963,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9316999912261963,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.016300000250339508,"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/T10860","display_name":"Speech and Audio Processing","score":0.013000000268220901,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/parsing","display_name":"Parsing","score":0.8113999962806702},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6603000164031982},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5504999756813049},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5354999899864197},{"id":"https://openalex.org/keywords/parse-tree","display_name":"Parse tree","score":0.5249000191688538},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5001999735832214},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4661000072956085},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4593999981880188}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.8113999962806702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653999924659729},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6603000164031982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6172000169754028},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5504999756813049},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5383999943733215},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C2781466058","wikidata":"https://www.wikidata.org/wiki/Q627921","display_name":"Parse tree","level":3,"score":0.5249000191688538},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4593999981880188},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4377000033855438},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40720000863075256},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3982999920845032},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.3433000147342682},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34139999747276306}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.27965","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27965","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.27965","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27965","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7032660841941833,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Long-form":[0],"audio":[1,109],"exhibits":[2],"an":[3,52],"inherent":[4],"hierarchy:":[5],"fine-grained":[6],"events":[7],"form":[8],"sub-activities,":[9],"which":[10,88],"in":[11],"turn":[12],"constitute":[13],"higher-level":[14],"activities.":[15],"Prior":[16],"work":[17],"often":[18],"models":[19],"these":[20],"levels":[21],"separately,":[22],"leading":[23],"to":[24],"cross-level":[25],"inconsistencies":[26],"and":[27,65,68,91,117],"requiring":[28,97],"supervision":[29],"at":[30],"multiple":[31],"levels.":[32],"We":[33,57],"formulate":[34],"the":[35,106],"problem":[36],"as":[37],"hierarchical":[38,63],"parsing":[39],"from":[40,87],"event-level":[41],"evidence:":[42],"given":[43],"detected":[44],"event":[45,74],"segments":[46],"with":[47,76],"class":[48],"posteriors,":[49],"we":[50],"infer":[51],"order-consistent":[53],"Act-Sub-Event":[54],"parse":[55,85],"tree.":[56],"propose":[58],"Hierarchical":[59],"Activity":[60],"Grammar,":[61],"encoding":[62],"composition":[64],"temporal-order":[66,113],"constraints,":[67],"perform":[69],"grammar-guided":[70],"decoding":[71],"that":[72],"combines":[73],"evidence":[75],"a":[77,82],"grammar":[78],"prior.":[79],"This":[80],"yields":[81],"temporally":[83],"grounded":[84],"tree":[86],"sub-activity":[89,98],"segmentation":[90],"activity":[92,100],"classification":[93],"are":[94],"derived,":[95],"without":[96],"or":[99],"labels":[101],"for":[102],"training.":[103],"Experiments":[104],"on":[105],"long-form":[107],"MultiAct":[108],"dataset":[110],"demonstrate":[111],"improved":[112],"consistency":[114],"(Edit":[115],"score)":[116],"produces":[118],"interpretable":[119],"hierarchies.":[120]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-30T00:00:00"}
