{"id":"https://openalex.org/W2907620624","doi":"https://doi.org/10.1145/3289600.3291038","title":"Attitude Detection for One-Round Conversation","display_name":"Attitude Detection for One-Round Conversation","publication_year":2019,"publication_date":"2019-01-30","ids":{"openalex":"https://openalex.org/W2907620624","doi":"https://doi.org/10.1145/3289600.3291038","mag":"2907620624"},"language":"en","primary_location":{"id":"doi:10.1145/3289600.3291038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3291038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","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/A5074501708","display_name":"Zhaohao Zeng","orcid":"https://orcid.org/0000-0002-9275-8526"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhaohao Zeng","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101505570","display_name":"Ruihua Song","orcid":"https://orcid.org/0000-0001-6036-9035"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihua Song","raw_affiliation_strings":["Microsoft, Tokyo, China"],"affiliations":[{"raw_affiliation_string":"Microsoft, Tokyo, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109545090","display_name":"Pingping Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingping Lin","raw_affiliation_strings":["Microsoft, Tokyo, China"],"affiliations":[{"raw_affiliation_string":"Microsoft, Tokyo, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023595778","display_name":"Tetsuya Sakai","orcid":"https://orcid.org/0000-0002-6720-963X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Sakai","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074501708"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69224551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9918000102043152,"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/T11644","display_name":"Spam and Phishing Detection","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/conversation","display_name":"Conversation","score":0.8471783995628357},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.8082171678543091},{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.6594576239585876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6583883166313171},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6563225388526917},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6355003714561462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5603273510932922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4420763850212097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3835138976573944},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3380841910839081},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1563442349433899},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10110902786254883},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.09988945722579956}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8471783995628357},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.8082171678543091},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.6594576239585876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583883166313171},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6563225388526917},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6355003714561462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5603273510932922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4420763850212097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3835138976573944},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3380841910839081},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1563442349433899},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10110902786254883},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.09988945722579956},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3289600.3291038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3291038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1517771839","https://openalex.org/W1964613733","https://openalex.org/W2096141509","https://openalex.org/W2116343275","https://openalex.org/W2124022436","https://openalex.org/W2159640018","https://openalex.org/W2160660844","https://openalex.org/W2250981850","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2251924628","https://openalex.org/W2252057809","https://openalex.org/W2311783643","https://openalex.org/W2427312199","https://openalex.org/W2465978385","https://openalex.org/W2507756961","https://openalex.org/W2514722822","https://openalex.org/W2529550020","https://openalex.org/W2578446670","https://openalex.org/W2593269848","https://openalex.org/W2625977873","https://openalex.org/W2740747242","https://openalex.org/W2750747353","https://openalex.org/W2757541972","https://openalex.org/W2787531469","https://openalex.org/W2799037524","https://openalex.org/W2949541494","https://openalex.org/W2950133940","https://openalex.org/W2962843214","https://openalex.org/W2963168371","https://openalex.org/W2963544700","https://openalex.org/W2963825865","https://openalex.org/W2964121744","https://openalex.org/W3099233101"],"related_works":["https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4387007686","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W3084631705","https://openalex.org/W3176146353","https://openalex.org/W4293646425","https://openalex.org/W4379781060"],"abstract_inverted_index":{"We":[0],"tackle":[1],"Attitude":[2,40,58],"Detection,":[3,59],"which":[4],"we":[5,34,93],"define":[6],"as":[7,37,60],"the":[8,12,48,54,82,88,98,108,122,126,140],"task":[9],"of":[10,39],"extracting":[11],"replier's":[13],"attitude,":[14],"i.e.,":[15],"a":[16,20,95,145],"target-polarity":[17,73,89],"pair,":[18],"from":[19,129,144],"given":[21],"one-round":[22],"conversation.":[23],"While":[24],"previous":[25],"studies":[26],"considered":[27],"Target":[28],"Extraction":[29],"and":[30,137],"Polarity":[31],"Classification":[32],"separately,":[33],"regard":[35],"them":[36],"subtasks":[38,50],"Detection.":[41],"Our":[42,75],"experimental":[43],"results":[44],"show":[45],"that":[46,117],"treating":[47],"two":[49],"independently":[51],"is":[52,67],"not":[53,68],"optimal":[55],"solution":[56],"for":[57,70],"achieving":[61],"high":[62],"performance":[63],"in":[64],"each":[65],"subtask":[66],"sufficient":[69],"obtaining":[71],"correct":[72],"pairs.":[74],"jointly":[76],"trained":[77,84],"model":[78,101],"AD-NET":[79],"substantially":[80],"outperforms":[81],"separately":[83],"models":[85],"by":[86,106],"alleviating":[87],"mismatch":[90],"problem.":[91],"Moreover,":[92],"proposed":[94],"method":[96],"utilising":[97],"attitude":[99,112,119],"detection":[100,120],"to":[102,125],"improve":[103],"retrieval-based":[104],"chatbots":[105],"re-ranking":[107],"response":[109],"candidates":[110],"with":[111,118],"features.":[113],"Human":[114],"evaluation":[115],"indicates":[116],"integrated,":[121],"new":[123],"responses":[124],"sampled":[127],"queries":[128],"are":[130],"statistically":[131],"significantly":[132],"more":[133],"consistent,":[134],"coherent,":[135],"engaging":[136],"informative":[138],"than":[139],"original":[141],"ones":[142],"obtained":[143],"commercial":[146],"chatbot.":[147]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
