{"id":"https://openalex.org/W2575635289","doi":null,"title":"Joint Inference for Mode Identification in Tutorial Dialogues.","display_name":"Joint Inference for Mode Identification in Tutorial Dialogues.","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2575635289","mag":"2575635289"},"language":"en","primary_location":{"id":"mag:2575635289","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/C16-1188.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5103421781","display_name":"Deepak Venugopal","orcid":"https://orcid.org/0000-0001-7466-5417","observed_orcids":["https://orcid.org/0000-0001-7466-5417"]},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepak Venugopal","raw_affiliation_strings":["University of Memphis, Memphis, United States"],"raw_orcid":"https://orcid.org/0000-0001-7466-5417","affiliations":[{"raw_affiliation_string":"University of Memphis, Memphis, United States","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045839835","display_name":"Vasile Rus","orcid":"https://orcid.org/0000-0003-3706-887X","observed_orcids":["https://orcid.org/0000-0003-3706-887X"]},"institutions":[{"id":"https://openalex.org/I139046659","display_name":"University of Agricultural Sciences, Dharwad","ror":"https://ror.org/02qn0hf26","country_code":"IN","type":"education","lineage":["https://openalex.org/I139046659","https://openalex.org/I179420787"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasile Rus","raw_affiliation_strings":["University of Agricultural Sciences, Dharwad, Hubli, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Agricultural Sciences, Dharwad, Hubli, India","institution_ids":["https://openalex.org/I139046659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1621,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38608747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"2000","last_page":"2011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.6952999830245972,"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/T12031","display_name":"Speech and dialogue systems","score":0.6952999830245972,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.29809999465942383,"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":0.0024999999441206455,"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/tutorial-dialogue","display_name":"tutorial dialogue","score":0.8730000257492065},{"id":"https://openalex.org/keywords/tutor-tutee-interaction","display_name":"tutor-tutee interaction","score":0.8980000019073486},{"id":"https://openalex.org/keywords/markov-logic-networks","display_name":"Markov logic networks","score":0.8069999814033508},{"id":"https://openalex.org/keywords/joint-inference","display_name":"joint inference","score":0.8230000138282776},{"id":"https://openalex.org/keywords/first-order-logic","display_name":"first-order logic","score":0.7860000133514404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129544854164124},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7369844317436218},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7223244905471802},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6575534343719482},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5536718964576721},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5395729541778564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395539999008179},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4823321998119354},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4424362778663635},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.42959296703338623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3623559772968292},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.3481415808200836},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2509196102619171},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1348787248134613},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2575635289","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/C16-1188.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W56218227","https://openalex.org/W90043669","https://openalex.org/W121830907","https://openalex.org/W186077800","https://openalex.org/W261252443","https://openalex.org/W1532161419","https://openalex.org/W1534886782","https://openalex.org/W1576632330","https://openalex.org/W1578772558","https://openalex.org/W1599188306","https://openalex.org/W1898214464","https://openalex.org/W1992967856","https://openalex.org/W1997945384","https://openalex.org/W2004123325","https://openalex.org/W2017127020","https://openalex.org/W2096312440","https://openalex.org/W2101968469","https://openalex.org/W2102169711","https://openalex.org/W2121477371","https://openalex.org/W2128970689","https://openalex.org/W2133933452","https://openalex.org/W2135828078","https://openalex.org/W2144910574","https://openalex.org/W2167277498","https://openalex.org/W2175127871","https://openalex.org/W2250322043","https://openalex.org/W2251644265","https://openalex.org/W2397268897","https://openalex.org/W2400750967","https://openalex.org/W2525721411","https://openalex.org/W2578152931","https://openalex.org/W2605617669","https://openalex.org/W4235073904"],"related_works":["https://openalex.org/W2397268897","https://openalex.org/W2403361372","https://openalex.org/W2578622006","https://openalex.org/W2038359704","https://openalex.org/W7100739983","https://openalex.org/W7098729380","https://openalex.org/W1966621938","https://openalex.org/W7098702913","https://openalex.org/W1564876955","https://openalex.org/W1534886782"],"abstract_inverted_index":{"Identifying":[0],"dialogue":[1,4,38,42,53,98,103,120],"acts":[2,54,121],"and":[3,44,55,77,100,166],"modes":[5,99,115,199],"during":[6],"tutorial":[7],"interactions":[8],"is":[9,78,155],"an":[10,123],"extremely":[11],"crucial":[12],"sub-step":[13],"in":[14,35,90,122,163,179,194,205],"understanding":[15],"patterns":[16],"of":[17,51,81,143,171,197],"effective":[18,158],"tutor-tutee":[19],"interactions.":[20],"In":[21],"this":[22],"work,":[23],"we":[24,59],"develop":[25,60],"a":[26,36,41,45,49,69,108,130,137],"novel":[27],"joint":[28,62,109,152,183],"inference":[29,110,153,184],"method":[30],"that":[31,71,93,150,200],"labels":[32],"each":[33],"utterance":[34],"tutoring":[37,141],"session":[39],"with":[40,75,140],"act":[43],"specific":[46],"mode":[47,164],"from":[48],"set":[50],"pre-defined":[52],"modes,":[56],"respectively.":[57],"Specifically,":[58],"our":[61,91,127],"model":[63],"using":[64],"Markov":[65],"Logic":[66],"Networks":[67],"(MLNs),":[68],"framework":[70],"combines":[72],"first-order":[73,88],"logic":[74],"probabilities,":[76],"thus":[79],"capable":[80],"representing":[82],"complex,":[83],"uncertain":[84],"knowledge.":[85],"We":[86,105,125],"define":[87],"formulas":[89],"MLN":[92],"encode":[94],"the":[95,114,119,151,160,169,172,191,195],"inter-dependencies":[96],"between":[97],"more":[101,157],"fine-grained":[102],"actions.":[104],"then":[106],"use":[107],"to":[111],"jointly":[112],"label":[113],"as":[116,118],"well":[117],"utterance.":[124],"compare":[126],"system":[128,132,154,162,174,185,193],"against":[129],"pipeline":[131,161,173,192],"based":[133],"on":[134,136],"SVMs":[135],"real-world":[138],"dataset":[139],"sessions":[142],"over":[144,168],"500":[145],"students.":[146],"Our":[147],"results":[148],"show":[149],"far":[156],"than":[159,190],"detection,":[165],"improves":[167],"performance":[170],"by":[175],"about":[176],"6":[177],"points":[178],"F1":[180],"score.":[181],"The":[182],"also":[186],"performs":[187],"much":[188],"better":[189],"context":[196],"labeling":[198],"highlight":[201],"important":[202],"pedagogical":[203],"steps":[204],"tutoring.":[206]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-01-26T00:00:00"}