{"id":"https://openalex.org/W7166806208","doi":"https://doi.org/10.18653/v1/2026.smm4h-1.38","title":"FU-HU-P5 at #SMM4H-HeaRD 2026: MedSynth Dialogue-to-Note Generation","display_name":"FU-HU-P5 at #SMM4H-HeaRD 2026: MedSynth Dialogue-to-Note Generation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166806208","doi":"https://doi.org/10.18653/v1/2026.smm4h-1.38"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.smm4h-1.38","doi":"https://doi.org/10.18653/v1/2026.smm4h-1.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.smm4h-1.38","pdf_url":"https://aclanthology.org/2026.smm4h-1.38.pdf","source":{"id":"https://openalex.org/S7407106391","display_name":"Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.smm4h-1.38.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139821050","display_name":"Jessica Ying En Wong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jessica Ying En Wong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5139821050"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43976203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.4025999903678894,"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/T12031","display_name":"Speech and dialogue systems","score":0.4025999903678894,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.19750000536441803,"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/T10028","display_name":"Topic Modeling","score":0.09880000352859497,"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/clinical-note-summarization","display_name":"clinical note summarization","score":0.8600000143051147},{"id":"https://openalex.org/keywords/doctor-patient-dialogue","display_name":"doctor-patient dialogue","score":0.9629999995231628},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.7129999995231628},{"id":"https://openalex.org/keywords/parameter-efficient-fine-tuning","display_name":"parameter-efficient fine-tuning","score":0.9229999780654907},{"id":"https://openalex.org/keywords/qwen3-5","display_name":"Qwen3.5","score":0.902999997138977},{"id":"https://openalex.org/keywords/medical-text-generation","display_name":"clinical text generation","score":0.44200000166893005},{"id":"https://openalex.org/keywords/shared-task","display_name":"shared task","score":0.6269999742507935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3181000053882599},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.22669999301433563},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2167000025510788},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20589999854564667},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.195700004696846},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.19380000233650208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17759999632835388},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.1754000037908554},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.17489999532699585},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.1745000034570694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.smm4h-1.38","doi":"https://doi.org/10.18653/v1/2026.smm4h-1.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.smm4h-1.38","pdf_url":"https://aclanthology.org/2026.smm4h-1.38.pdf","source":{"id":"https://openalex.org/S7407106391","display_name":"Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.smm4h-1.38","doi":"https://doi.org/10.18653/v1/2026.smm4h-1.38","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.smm4h-1.38","pdf_url":"https://aclanthology.org/2026.smm4h-1.38.pdf","source":{"id":"https://openalex.org/S7407106391","display_name":"Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166806208.pdf","grobid_xml":"https://content.openalex.org/works/W7166806208.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7166799615","https://openalex.org/W7166853024","https://openalex.org/W4385571713","https://openalex.org/W4385571257","https://openalex.org/W3168558807","https://openalex.org/W4401042843","https://openalex.org/W7204249492","https://openalex.org/W4385572365","https://openalex.org/W4385570108","https://openalex.org/W3170702395"],"abstract_inverted_index":{"This":[0],"paper":[1],"demonstrates":[2],"our":[3],"system":[4],"for":[5],"shared":[6],"task":[7],"4":[8],"of":[9],"#SMM4H-HeaRD":[10],"2026":[11],"Workshop":[12],"where":[13],"a":[14,21,42],"given":[15],"doctor-patient":[16],"dialogue":[17],"is":[18],"summarized":[19],"into":[20],"clinical":[22],"note":[23],"in":[24],"the":[25],"corresponding":[26],"SOAP":[27],"format.Our":[28],"proposed":[29],"solution":[30],"includes":[31],"semi-supervised":[32],"learning":[33],"together":[34],"with":[35],"parameter":[36,57],"efficient":[37],"finetuning":[38],"(PEFT)":[39],"applied":[40],"to":[41,55,63],"lightweight":[43],"pre-trained":[44],"QWEN3.5":[45],"model":[46,50],"(Qwen":[47],"Team,":[48],"2026).Our":[49],"delivers":[51],"competitive":[52],"performance":[53,62],"relative":[54],"its":[56,61],"count,":[58],"and":[59],"generalizes":[60],"unseen":[64],"test":[65],"dataset.":[66]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-02T00:00:00"}