{"id":"https://openalex.org/W2889788424","doi":"https://doi.org/10.1162/coli_a_00339","title":"Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach","display_name":"Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach","publication_year":2018,"publication_date":"2018-09-18","ids":{"openalex":"https://openalex.org/W2889788424","doi":"https://doi.org/10.1162/coli_a_00339","mag":"2889788424"},"language":"en","primary_location":{"id":"doi:10.1162/coli_a_00339","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00339","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00339","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00339","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005443526","display_name":"Shafiq Joty","orcid":"https://orcid.org/0000-0002-9222-2641"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Shafiq Joty","raw_affiliation_strings":["Nanyang Technological University, School of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, School of Computer Science and Engineering","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056169983","display_name":"Tasnim Mohiuddin","orcid":"https://orcid.org/0009-0003-0955-7200"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Tasnim Mohiuddin","raw_affiliation_strings":["Nanyang Technological University, School of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, School of Computer Science and Engineering","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005443526","https://openalex.org/A5056169983"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.8468,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80627929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"44","issue":"4","first_page":"859","last_page":"894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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/T12031","display_name":"Speech and dialogue systems","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/T10181","display_name":"Natural Language Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8804445266723633},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7924512028694153},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7433916330337524},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6376898288726807},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6056699156761169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006667613983154},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5652697086334229},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5621786117553711},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5373713970184326},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5234339237213135},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4584299325942993},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4451954960823059},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3271329998970032},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07009899616241455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8804445266723633},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7924512028694153},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7433916330337524},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6376898288726807},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6056699156761169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006667613983154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5652697086334229},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5621786117553711},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5373713970184326},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5234339237213135},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4584299325942993},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4451954960823059},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3271329998970032},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07009899616241455},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1162/coli_a_00339","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00339","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00339","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b39810f4e7d246e4bfa3c63a25b16152","is_oa":true,"landing_page_url":"https://doaj.org/article/b39810f4e7d246e4bfa3c63a25b16152","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Linguistics, Vol 44, Iss 4, Pp 859-894 (2018)","raw_type":"article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/105468","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/105468","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1162/coli_a_00339","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00339","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00339","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2889788424.pdf","grobid_xml":"https://content.openalex.org/works/W2889788424.grobid-xml"},"referenced_works_count":99,"referenced_works":["https://openalex.org/W209307208","https://openalex.org/W1271416125","https://openalex.org/W1472827061","https://openalex.org/W1503398984","https://openalex.org/W1516554472","https://openalex.org/W1533861849","https://openalex.org/W1541437296","https://openalex.org/W1554540371","https://openalex.org/W1560512119","https://openalex.org/W1576632330","https://openalex.org/W1591706642","https://openalex.org/W1654173042","https://openalex.org/W1665214252","https://openalex.org/W1731081199","https://openalex.org/W1816079941","https://openalex.org/W1860567634","https://openalex.org/W1964079213","https://openalex.org/W2044120473","https://openalex.org/W2044818951","https://openalex.org/W2064675550","https://openalex.org/W2065388575","https://openalex.org/W2076031315","https://openalex.org/W2089285937","https://openalex.org/W2095688344","https://openalex.org/W2095705004","https://openalex.org/W2098949613","https://openalex.org/W2099471712","https://openalex.org/W2099689993","https://openalex.org/W2107875902","https://openalex.org/W2109189215","https://openalex.org/W2122491924","https://openalex.org/W2127170756","https://openalex.org/W2128970689","https://openalex.org/W2129999749","https://openalex.org/W2131774270","https://openalex.org/W2134036914","https://openalex.org/W2134275125","https://openalex.org/W2135828078","https://openalex.org/W2137636595","https://openalex.org/W2140495700","https://openalex.org/W2141599568","https://openalex.org/W2144012961","https://openalex.org/W2146447174","https://openalex.org/W2147880316","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2157765050","https://openalex.org/W2158139315","https://openalex.org/W2159080219","https://openalex.org/W2161427841","https://openalex.org/W2169142063","https://openalex.org/W2171986392","https://openalex.org/W2250532663","https://openalex.org/W2250539671","https://openalex.org/W2250749132","https://openalex.org/W2251183320","https://openalex.org/W2251584308","https://openalex.org/W2251938642","https://openalex.org/W2252024663","https://openalex.org/W2252211741","https://openalex.org/W2296283641","https://openalex.org/W2297486612","https://openalex.org/W2312383716","https://openalex.org/W2397299661","https://openalex.org/W2401527985","https://openalex.org/W2472672021","https://openalex.org/W2517028602","https://openalex.org/W2540462820","https://openalex.org/W2557283755","https://openalex.org/W2573626026","https://openalex.org/W2604272474","https://openalex.org/W2613000335","https://openalex.org/W2613959975","https://openalex.org/W2738191241","https://openalex.org/W2740181799","https://openalex.org/W2741609678","https://openalex.org/W2760623195","https://openalex.org/W2887428522","https://openalex.org/W2914409709","https://openalex.org/W2930957955","https://openalex.org/W2949089885","https://openalex.org/W2950577311","https://openalex.org/W2950726992","https://openalex.org/W2953391617","https://openalex.org/W2962854379","https://openalex.org/W2962883855","https://openalex.org/W2962902328","https://openalex.org/W2962965405","https://openalex.org/W2963140597","https://openalex.org/W2963469963","https://openalex.org/W2964036636","https://openalex.org/W2964090065","https://openalex.org/W2964106094","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W2964331270","https://openalex.org/W3037567775","https://openalex.org/W4206192903","https://openalex.org/W4231458249"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W2160451571","https://openalex.org/W2495256954"],"abstract_inverted_index":{"Participants":[0],"in":[1,37,43,70,119,133],"an":[2,120],"asynchronous":[3,38,121,135],"conversation":[4],"(e.g.,":[5,22,147],"forum,":[6],"e-mail)":[7],"interact":[8],"with":[9],"each":[10,57],"other":[11],"at":[12],"different":[13],"times,":[14],"performing":[15],"certain":[16],"communicative":[17],"acts,":[18],"called":[19],"speech":[20,34,104],"acts":[21],"question,":[23],"request).":[24],"In":[25,123],"this":[26,66],"article,":[27],"we":[28,137],"propose":[29],"a":[30,47,61,71,93],"hybrid":[31],"approach":[32,41,163],"to":[33,77,100,115,125,142],"act":[35,105],"recognition":[36],"conversations.":[39],"Our":[40],"works":[42],"two":[44],"main":[45],"steps:":[46],"long":[48],"short-term":[49],"memory":[50],"recurrent":[51],"neural":[52,154],"network":[53],"(LSTM-RNN)":[54],"first":[55],"encodes":[56],"sentence":[58],"separately":[59],"into":[60,103],"task-specific":[62,171],"distributed":[63],"representation,":[64],"and":[65,97,192],"is":[67,98],"then":[68],"used":[69],"conditional":[72],"random":[73],"field":[74],"(CRF)":[75],"model":[76,86,109,116,141,197],"capture":[78],"the":[79,127,134,139,159,178,182,194],"conversational":[80,95,117,174],"dependencies":[81,118],"between":[82],"sentences.":[83],"The":[84,107],"LSTM-RNN":[85,140],"uses":[87],"pretrained":[88],"word":[89,175],"embeddings":[90,176],"learned":[91],"from":[92,144],"large":[94],"corpus":[96],"trained":[99],"classify":[101],"sentences":[102],"types.":[106],"CRF":[108,196],"can":[110],"consider":[111],"arbitrary":[112],"graph":[113],"structures":[114],"conversation.":[122],"addition,":[124],"mitigate":[126],"problem":[128],"of":[129,153,161],"limited":[130],"annotated":[131],"data":[132],"domains,":[136],"adapt":[138],"learn":[143],"synchronous":[145],"conversations":[146],"meetings),":[148],"using":[149],"domain":[150],"adversarial":[151,186],"training":[152,187],"networks.":[155],"Empirical":[156],"evaluation":[157],"shows":[158],"effectiveness":[160],"our":[162],"over":[164,199],"existing":[165],"ones:":[166],"(i)":[167],"LSTM-RNNs":[168,179],"provide":[169],"better":[170,189],"representations,":[172,191],"(ii)":[173],"benefit":[177],"more":[180],"than":[181],"off-the-shelf":[183],"ones,":[184],"(iii)":[185],"gives":[188],"domain-invariant":[190],"(iv)":[193],"global":[195],"improves":[198],"local":[200],"models.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
