{"id":"https://openalex.org/W2625113742","doi":"https://doi.org/10.18653/v1/d17-1259","title":"Deal or No Deal? End-to-End Learning of Negotiation Dialogues","display_name":"Deal or No Deal? End-to-End Learning of Negotiation Dialogues","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2625113742","doi":"https://doi.org/10.18653/v1/d17-1259","mag":"2625113742"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1259","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1259","pdf_url":"https://www.aclweb.org/anthology/D17-1259.pdf","source":null,"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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D17-1259.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004412943","display_name":"Mike Lewis","orcid":"https://orcid.org/0000-0003-0679-6612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mike Lewis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000725688","display_name":"Denis Yarats","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Denis Yarats","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020785659","display_name":"Yann Dauphin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yann Dauphin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050342343","display_name":"Devi Parikh","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Devi Parikh","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014035752","display_name":"Dhruv Batra","orcid":"https://orcid.org/0000-0002-1358-0011"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhruv Batra","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2443","last_page":"2453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9994999766349792,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9994999766349792,"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":0.9991000294685364,"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":0.9976999759674072,"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/negotiation","display_name":"Negotiation","score":0.9152075052261353},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.8318177461624146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932395339012146},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7778472900390625},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5947147011756897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49646860361099243},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.47051113843917847},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4454949200153351},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37378206849098206},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15827199816703796},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1490781009197235},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.11855906248092651},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11663490533828735},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.10054701566696167},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.10019099712371826}],"concepts":[{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.9152075052261353},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8318177461624146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932395339012146},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7778472900390625},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5947147011756897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49646860361099243},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.47051113843917847},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4454949200153351},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37378206849098206},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15827199816703796},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1490781009197235},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.11855906248092651},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11663490533828735},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.10054701566696167},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.10019099712371826},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d17-1259","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1259","pdf_url":"https://www.aclweb.org/anthology/D17-1259.pdf","source":null,"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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.05125","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.05125","pdf_url":"https://arxiv.org/pdf/1706.05125","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2625113742","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1706.05125.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1706.05125","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1706.05125","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:10.18653/v1/d17-1259","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1259","pdf_url":"https://www.aclweb.org/anthology/D17-1259.pdf","source":null,"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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2625113742.pdf","grobid_xml":"https://content.openalex.org/works/W2625113742.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W10957333","https://openalex.org/W1591706642","https://openalex.org/W1625390266","https://openalex.org/W1681299129","https://openalex.org/W1830940278","https://openalex.org/W1920532145","https://openalex.org/W1958706068","https://openalex.org/W2040123554","https://openalex.org/W2043985309","https://openalex.org/W2104067325","https://openalex.org/W2167149475","https://openalex.org/W2175723363","https://openalex.org/W2188321399","https://openalex.org/W2251058040","https://openalex.org/W2257979135","https://openalex.org/W2328886022","https://openalex.org/W2340944142","https://openalex.org/W2403702038","https://openalex.org/W2410983263","https://openalex.org/W2410985346","https://openalex.org/W2598220062","https://openalex.org/W2602275733","https://openalex.org/W2608175740","https://openalex.org/W2886444114","https://openalex.org/W2953119472","https://openalex.org/W2953158660","https://openalex.org/W2964119254","https://openalex.org/W2964199361","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W2119717200","https://openalex.org/W2964308564","https://openalex.org/W2395575420","https://openalex.org/W2963341956","https://openalex.org/W2962852262","https://openalex.org/W2964043796","https://openalex.org/W2953119472","https://openalex.org/W2779397669","https://openalex.org/W2410983263","https://openalex.org/W2257979135","https://openalex.org/W2101105183","https://openalex.org/W1522301498","https://openalex.org/W2963403868","https://openalex.org/W2950472486","https://openalex.org/W2311783643","https://openalex.org/W2250539671","https://openalex.org/W2130942839","https://openalex.org/W2099471712","https://openalex.org/W2064675550","https://openalex.org/W1591706642"],"abstract_inverted_index":{"Much":[0],"of":[1,44,116],"human":[2],"dialogue":[3,98,103],"occurs":[4],"in":[5,105],"semicooperative":[6],"settings,":[7],"where":[8,52],"agents":[9,53],"with":[10,95],"different":[11],"goals":[12],"attempt":[13],"to":[14,30,81],"agree":[15],"on":[16,47],"common":[17],"decisions.":[18],"Negotiations":[19],"require":[20],"complex":[21],"communication":[22],"and":[23,92,119,129],"reasoning":[24,93],"skills,":[25],"but":[26],"success":[27],"is":[28,79],"easy":[29],"measure,":[31],"making":[32],"this":[33,122],"an":[34,63],"interesting":[35],"task":[36],"for":[37,85],"AI.":[38],"We":[39,100],"gather":[40],"a":[41,48,66],"large":[42],"dataset":[43,130],"human-human":[45],"negotiations":[46],"multi-issue":[49],"bargaining":[50],"task,":[51],"who":[54],"cannot":[55],"observe":[56],"each":[57],"other's":[58],"reward":[59],"functions":[60],"must":[61,88],"reach":[62],"agreement":[64],"(or":[65],"deal)":[67],"via":[68],"natural":[69],"language":[70],"dialogue.":[71],"For":[72],"the":[73,107,117],"first":[74],"time,":[75],"we":[76],"show":[77],"it":[78],"possible":[80,113],"train":[82],"end-to-end":[83],"models":[84],"negotiation,":[86],"which":[87,106],"learn":[89],"both":[90],"linguistic":[91],"skills":[94],"no":[96],"annotated":[97],"states.":[99],"also":[101],"introduce":[102],"rollouts,":[104],"model":[108],"plans":[109],"ahead":[110],"by":[111],"simulating":[112],"complete":[114],"continuations":[115],"conversation,":[118],"find":[120],"that":[121],"technique":[123],"dramatically":[124],"improves":[125],"performance.":[126],"Our":[127],"code":[128],"are":[131],"publicly":[132],"available.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}