{"id":"https://openalex.org/W2986683329","doi":"https://doi.org/10.18653/v1/d19-1682","title":"Context-Aware Conversation Thread Detection in Multi-Party Chat","display_name":"Context-Aware Conversation Thread Detection in Multi-Party Chat","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2986683329","doi":"https://doi.org/10.18653/v1/d19-1682","mag":"2986683329"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1682","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1682","pdf_url":"https://www.aclweb.org/anthology/D19-1682.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1682.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113541520","display_name":"Ming Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Tan","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062817658","display_name":"Dakuo Wang","orcid":"https://orcid.org/0000-0001-9371-9441"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dakuo Wang","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101103417","display_name":"Yupeng Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yupeng Gao","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427168","display_name":"Haoyu Wang","orcid":"https://orcid.org/0000-0001-6259-843X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoyu Wang","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044514249","display_name":"Saloni Potdar","orcid":"https://orcid.org/0009-0006-0607-6104"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saloni Potdar","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051951021","display_name":"Xiaoxiao Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoxiao Guo","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112248869","display_name":"Shiyu Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiyu Chang","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101583277","display_name":"Mo Yu","orcid":"https://orcid.org/0000-0003-0949-6113"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mo Yu","raw_affiliation_strings":["IBM Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6455","last_page":"6460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T12031","display_name":"Speech and dialogue systems","score":0.994700014591217,"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/conversation","display_name":"Conversation","score":0.7969266176223755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7608785629272461},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.6667385697364807},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4149891436100006},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3574923872947693},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2555001974105835},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20201024413108826},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11002632975578308}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7969266176223755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608785629272461},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.6667385697364807},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4149891436100006},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3574923872947693},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2555001974105835},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20201024413108826},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11002632975578308},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1682","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1682","pdf_url":"https://www.aclweb.org/anthology/D19-1682.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1682","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1682","pdf_url":"https://www.aclweb.org/anthology/D19-1682.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2986683329.pdf","grobid_xml":"https://content.openalex.org/works/W2986683329.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W136520077","https://openalex.org/W411382560","https://openalex.org/W1469909552","https://openalex.org/W1522301498","https://openalex.org/W1532908237","https://openalex.org/W1544827683","https://openalex.org/W1601068082","https://openalex.org/W1665389768","https://openalex.org/W2113063049","https://openalex.org/W2115615127","https://openalex.org/W2121912514","https://openalex.org/W2155707639","https://openalex.org/W2510884022","https://openalex.org/W2517782820","https://openalex.org/W2582886532","https://openalex.org/W2613142859","https://openalex.org/W2794557536","https://openalex.org/W2803119681","https://openalex.org/W2898944906","https://openalex.org/W2912142967","https://openalex.org/W2948395303","https://openalex.org/W2949615363","https://openalex.org/W2962952612","https://openalex.org/W2964121744","https://openalex.org/W3127589626"],"related_works":["https://openalex.org/W4210381016","https://openalex.org/W2496949096","https://openalex.org/W2893160992","https://openalex.org/W2125441830","https://openalex.org/W2351806928","https://openalex.org/W2068042411","https://openalex.org/W3017218903","https://openalex.org/W2789919619","https://openalex.org/W2357965089","https://openalex.org/W4367334022"],"abstract_inverted_index":{"Ming":[0],"Tan,":[1],"Dakuo":[2],"Wang,":[3,7],"Yupeng":[4],"Gao,":[5],"Haoyu":[6],"Saloni":[8],"Potdar,":[9],"Xiaoxiao":[10],"Guo,":[11],"Shiyu":[12],"Chang,":[13],"Mo":[14],"Yu.":[15],"Proceedings":[16],"of":[17],"the":[18,29],"2019":[19],"Conference":[20,33],"on":[21,34],"Empirical":[22],"Methods":[23],"in":[24],"Natural":[25,35],"Language":[26,36],"Processing":[27,37],"and":[28],"9th":[30],"International":[31],"Joint":[32],"(EMNLP-IJCNLP).":[38],"2019.":[39]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
