{"id":"https://openalex.org/W4372337835","doi":"https://doi.org/10.1109/icassp49357.2023.10096003","title":"Generic Dependency Modeling for Multi-Party Conversation","display_name":"Generic Dependency Modeling for Multi-Party Conversation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372337835","doi":"https://doi.org/10.1109/icassp49357.2023.10096003"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024669409","display_name":"Weizhou Shen","orcid":"https://orcid.org/0000-0001-9180-0043"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weizhou Shen","raw_affiliation_strings":["Sun Yat-sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040062188","display_name":"Xiaojun Quan","orcid":"https://orcid.org/0000-0002-8385-1083"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Quan","raw_affiliation_strings":["Sun Yat-sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022823","display_name":"Ke Yang","orcid":"https://orcid.org/0000-0002-3065-5062"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Yang","raw_affiliation_strings":["Sun Yat-sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024669409"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.8741,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77891175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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/T12031","display_name":"Speech and dialogue systems","score":0.9994000196456909,"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":0.8720017671585083},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.8571152687072754},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.7815291881561279},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7209075689315796},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.692497968673706},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6572746634483337},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.570695161819458},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5461862683296204},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48294204473495483},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.445818156003952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4130648374557495},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3781163692474365},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.34789207577705383},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09547829627990723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8720017671585083},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8571152687072754},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7815291881561279},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7209075689315796},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.692497968673706},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6572746634483337},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.570695161819458},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5461862683296204},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48294204473495483},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.445818156003952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4130648374557495},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3781163692474365},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34789207577705383},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09547829627990723},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2531638282","https://openalex.org/W2963041453","https://openalex.org/W2963686995","https://openalex.org/W2965373594","https://openalex.org/W2966126777","https://openalex.org/W2989743967","https://openalex.org/W3034999214","https://openalex.org/W3035566559","https://openalex.org/W3086456409","https://openalex.org/W3100560913","https://openalex.org/W3114142294","https://openalex.org/W3155593432","https://openalex.org/W3173529151","https://openalex.org/W3175552668","https://openalex.org/W3196783364","https://openalex.org/W4281701185","https://openalex.org/W4385245566","https://openalex.org/W6732196124","https://openalex.org/W6766673545","https://openalex.org/W6771313149","https://openalex.org/W6794555298"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W2098784136","https://openalex.org/W287510790","https://openalex.org/W4241489294","https://openalex.org/W63925617","https://openalex.org/W2968543375","https://openalex.org/W2252142543","https://openalex.org/W4288558800","https://openalex.org/W2888625260","https://openalex.org/W2953770453"],"abstract_inverted_index":{"To":[0],"model":[1],"the":[2,18,31,34,51,68,86],"dependencies":[3,32],"between":[4],"utterances":[5],"in":[6,33,47],"multi-party":[7,59],"conversations,":[8],"we":[9,25],"propose":[10],"a":[11],"simple":[12],"and":[13,41,76],"generic":[14],"framework":[15,65],"based":[16],"on":[17,57],"dependency":[19,38],"parsing":[20],"results":[21,56],"of":[22,36,53,71],"utterances.":[23],"Particularly,":[24],"present":[26],"an":[27],"approach":[28],"to":[29,44,78,85],"encoding":[30,39],"form":[35],"relative":[37],"(ReDE)":[40],"illustrate":[42],"how":[43],"implement":[45],"it":[46],"Transformers":[48],"by":[49],"modifying":[50],"computation":[52],"self-attention.":[54],"Experimental":[55],"four":[58],"conversation":[60],"benchmarks":[61],"show":[62],"that":[63],"this":[64],"successfully":[66],"boosts":[67],"general":[69],"performance":[70,83],"two":[72],"Transformer-based":[73],"language":[74],"models":[75],"leads":[77],"comparable":[79],"or":[80],"even":[81],"superior":[82],"compared":[84],"state-of-the-art":[87],"methods.":[88],"The":[89],"code":[90],"is":[91],"available":[92],"at":[93],"https://github.com/shenwzh3/ReDE.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
