{"id":"https://openalex.org/W2749333275","doi":"https://doi.org/10.1109/aciiw.2017.8272605","title":"Agree to disagree: Improving disagreement detection with dual GRUs","display_name":"Agree to disagree: Improving disagreement detection with dual GRUs","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2749333275","doi":"https://doi.org/10.1109/aciiw.2017.8272605","mag":"2749333275"},"language":"en","primary_location":{"id":"doi:10.1109/aciiw.2017.8272605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aciiw.2017.8272605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.05582","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038037490","display_name":"Sushant Hiray","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sushant Hiray","raw_affiliation_strings":["Seernet Technologies, LLC"],"affiliations":[{"raw_affiliation_string":"Seernet Technologies, LLC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070617445","display_name":"Venkatesh Duppada","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venkatesh Duppada","raw_affiliation_strings":["Seernet Technologies, LLC"],"affiliations":[{"raw_affiliation_string":"Seernet Technologies, LLC","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038037490"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.22917964,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61934096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9904999732971191,"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/exploit","display_name":"Exploit","score":0.7572199106216431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7481246590614319},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5683774352073669},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5591652393341064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4868723452091217},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48285990953445435},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42548540234565735},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.41478148102760315},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.4110748767852783},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13323667645454407},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10118401050567627}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7572199106216431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481246590614319},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5683774352073669},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5591652393341064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4868723452091217},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48285990953445435},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42548540234565735},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.41478148102760315},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.4110748767852783},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13323667645454407},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10118401050567627},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/aciiw.2017.8272605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aciiw.2017.8272605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.05582","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.05582","pdf_url":"https://arxiv.org/pdf/1708.05582","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":"text"},{"id":"mag:2749333275","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1708.05582","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.1708.05582","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.05582","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.05582","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.05582","pdf_url":"https://arxiv.org/pdf/1708.05582","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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2749333275.pdf","grobid_xml":"https://content.openalex.org/works/W2749333275.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W1518903672","https://openalex.org/W1522301498","https://openalex.org/W1569447338","https://openalex.org/W1569507287","https://openalex.org/W1591607137","https://openalex.org/W1615991656","https://openalex.org/W1733704070","https://openalex.org/W1905882502","https://openalex.org/W1924770834","https://openalex.org/W1977155386","https://openalex.org/W2056818712","https://openalex.org/W2060893670","https://openalex.org/W2095705004","https://openalex.org/W2102800123","https://openalex.org/W2105834893","https://openalex.org/W2137618025","https://openalex.org/W2140910804","https://openalex.org/W2144232471","https://openalex.org/W2150850338","https://openalex.org/W2158139315","https://openalex.org/W2159976377","https://openalex.org/W2160660844","https://openalex.org/W2161354826","https://openalex.org/W2162010436","https://openalex.org/W2165698076","https://openalex.org/W2167053715","https://openalex.org/W2171468534","https://openalex.org/W2250189634","https://openalex.org/W2250397934","https://openalex.org/W2250454469","https://openalex.org/W2250539671","https://openalex.org/W2251588411","https://openalex.org/W2251911493","https://openalex.org/W2347127863","https://openalex.org/W2611755161","https://openalex.org/W2749639054","https://openalex.org/W2949117887","https://openalex.org/W2949709688","https://openalex.org/W2950974174","https://openalex.org/W2952113915","https://openalex.org/W2953084091","https://openalex.org/W2953150860","https://openalex.org/W2963094841","https://openalex.org/W4234894178","https://openalex.org/W6601330385","https://openalex.org/W6607799657","https://openalex.org/W6631054184","https://openalex.org/W6633847657","https://openalex.org/W6637632351","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6680229110","https://openalex.org/W6682691769","https://openalex.org/W6683557909","https://openalex.org/W6683791313","https://openalex.org/W6683937847","https://openalex.org/W6691402337","https://openalex.org/W6691519004","https://openalex.org/W6691765621"],"related_works":["https://openalex.org/W2963321281","https://openalex.org/W2161354826","https://openalex.org/W2951912364","https://openalex.org/W2752313418","https://openalex.org/W2513660799","https://openalex.org/W1863110391","https://openalex.org/W2990065465","https://openalex.org/W2250851379","https://openalex.org/W3117527017","https://openalex.org/W2939335894","https://openalex.org/W3027327463","https://openalex.org/W2251370914","https://openalex.org/W3040177930","https://openalex.org/W3116787312","https://openalex.org/W3034438872","https://openalex.org/W3193344699","https://openalex.org/W2251367463","https://openalex.org/W2809887676","https://openalex.org/W2808633496","https://openalex.org/W2516930406"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"models":[3],"for":[4],"detecting":[5],"agreement/disagreement":[6],"in":[7],"online":[8,47],"discussions.":[9],"In":[10],"this":[11],"work":[12],"we":[13,26],"show":[14,60,85],"that":[15,61,86],"by":[16,62],"using":[17],"a":[18],"Siamese":[19],"inspired":[20],"architecture":[21],"to":[22,30,35],"encode":[23],"the":[24,37,72,75,87],"discussions,":[25],"no":[27],"longer":[28],"need":[29],"rely":[31],"on":[32,45,57,90,95],"hand-crafted":[33],"features":[34],"exploit":[36],"meta":[38],"thread":[39],"structure.":[40],"We":[41,83],"evaluate":[42],"our":[43,69],"model":[44,70,88],"existing":[46],"discussion":[48],"corpora":[49],"-":[50],"ABCD,":[51],"IAC":[52],"and":[53,65,101],"AWTP.":[54],"Experimental":[55],"results":[56],"ABCD":[58,91],"dataset":[59,92],"fusing":[63],"lexical":[64],"word":[66],"embedding":[67],"features,":[68],"achieves":[71],"state":[73],"of":[74,78],"art":[76],"performance":[77],"0.804":[79],"average":[80],"F1":[81],"score.":[82],"also":[84],"trained":[89],"performs":[93],"competitively":[94],"relatively":[96],"smaller":[97],"annotated":[98],"datasets":[99],"(IAC":[100],"AWTP).":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
