{"id":"https://openalex.org/W4229010511","doi":"https://doi.org/10.48550/arxiv.2205.00344","title":"Opponent Modeling in Negotiation Dialogues by Related Data Adaptation","display_name":"Opponent Modeling in Negotiation Dialogues by Related Data Adaptation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4229010511","doi":"https://doi.org/10.48550/arxiv.2205.00344"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.00344","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2205.00344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070984529","display_name":"Kushal Chawla","orcid":"https://orcid.org/0000-0003-3547-0777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chawla, Kushal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084733331","display_name":"Gale Lucas","orcid":"https://orcid.org/0000-0003-3089-9283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lucas, Gale M.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000874697","display_name":"Jonathan May","orcid":"https://orcid.org/0000-0002-5284-477X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"May, Jonathan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051992568","display_name":"Jonathan Gratch","orcid":"https://orcid.org/0000-0002-5959-809X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gratch, Jonathan","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":59},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9934,"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":0.9934,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9803,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9769,"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/utterance","display_name":"Utterance","score":0.6806925},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.5226757}],"concepts":[{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.826295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82476896},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.71148884},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.69131035},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6806925},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.54130584},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.5226757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43100476},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4234315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36554626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3155378},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1585421},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.091112256},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.00344","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.00344","pdf_url":"http://arxiv.org/pdf/2205.00344","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2205.00344","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.00344","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3177678247","https://openalex.org/W2944572343","https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2351687372","https://openalex.org/W2333799855","https://openalex.org/W2085499169","https://openalex.org/W2038083449","https://openalex.org/W2004087835","https://openalex.org/W1999617572"],"abstract_inverted_index":{"Opponent":[0],"modeling":[1],"is":[2,37],"the":[3,12,24,28,55,58,97,101,122,138,155,171,183],"task":[4,48,114],"of":[5,14,54,100,140],"inferring":[6,23],"another":[7],"party's":[8],"mental":[9],"state":[10],"within":[11],"context":[13],"social":[15],"interactions.":[16],"In":[17,72],"a":[18,77,90,128],"multi-issue":[19],"negotiation,":[20],"it":[21],"involves":[22],"relative":[25],"importance":[26],"that":[27,154],"opponent":[29,56],"assigns":[30],"to":[31,50,107,115,130,160,173,189],"each":[32],"issue":[33],"under":[34],"discussion,":[35],"which":[36],"crucial":[38],"for":[39,46,70,79,112,120],"finding":[40],"high-value":[41],"deals.":[42],"A":[43],"practical":[44],"model":[45,87,172],"this":[47,73,113,194],"needs":[49],"infer":[51],"these":[52,81],"priorities":[53,82],"on":[57,61,132,148],"fly":[59],"based":[60,147],"partial":[62,91],"dialogues":[63],"as":[64,93,127],"input,":[65],"without":[66],"needing":[67],"additional":[68],"annotations":[69],"training.":[71],"work,":[74],"we":[75],"propose":[76],"ranker":[78],"identifying":[80],"from":[83,182],"negotiation":[84],"dialogues.":[85],"The":[86],"takes":[88],"in":[89,163,193],"dialogue":[92,150],"input":[94],"and":[95,125,165],"predicts":[96],"priority":[98],"order":[99],"opponent.":[102,184],"We":[103,136,152,185],"further":[104],"devise":[105],"ways":[106],"adapt":[108],"related":[109],"data":[110,157],"sources":[111],"provide":[116],"more":[117],"explicit":[118],"supervision":[119],"incorporating":[121],"opponent's":[123],"preferences":[124],"offers,":[126],"proxy":[129],"relying":[131],"granular":[133],"utterance-level":[134],"annotations.":[135],"show":[137],"utility":[139],"our":[141,187],"proposed":[142,156],"approach":[143],"through":[144],"extensive":[145],"experiments":[146],"two":[149],"datasets.":[151],"find":[153],"adaptations":[158],"lead":[159],"strong":[161],"performance":[162],"zero-shot":[164],"few-shot":[166],"scenarios.":[167],"Moreover,":[168],"they":[169],"allow":[170],"perform":[174],"better":[175],"than":[176],"baselines":[177],"while":[178],"accessing":[179],"fewer":[180],"utterances":[181],"release":[186],"code":[188],"support":[190],"future":[191],"work":[192],"direction.":[195]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4229010511","counts_by_year":[],"updated_date":"2025-02-25T17:07:13.558352","created_date":"2022-05-08"}