{"id":"https://openalex.org/W4392445387","doi":"https://doi.org/10.1145/3639233.3639340","title":"Dialogue Segmentation based on Dynamic Context Coherence","display_name":"Dialogue Segmentation based on Dynamic Context Coherence","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4392445387","doi":"https://doi.org/10.1145/3639233.3639340"},"language":"en","primary_location":{"id":"doi:10.1145/3639233.3639340","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639233.3639340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval","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/A5103259976","display_name":"Hengfeng Pu","orcid":"https://orcid.org/0009-0007-0835-4400"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengfeng Pu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100674988","display_name":"Liqing Wang","orcid":"https://orcid.org/0000-0002-6138-7611"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Wang","raw_affiliation_strings":["School of Information Science and Engineering &amp; Digital Media Technology Key Laboratory of Universitys in Yunnan, Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering &amp; Digital Media Technology Key Laboratory of Universitys in Yunnan, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103259976"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.173,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61027634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"190","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","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/T12031","display_name":"Speech and dialogue systems","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":0.9991999864578247,"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":0.9861999750137329,"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":0.8482959866523743},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.7764520049095154},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6493504047393799},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6431870460510254},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5768078565597534},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5693829655647278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598075985908508},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5380584001541138},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3334805369377136},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06943097710609436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.053521305322647095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8482959866523743},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.7764520049095154},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6493504047393799},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6431870460510254},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5768078565597534},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5693829655647278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598075985908508},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5380584001541138},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3334805369377136},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06943097710609436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.053521305322647095},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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":"doi:10.1145/3639233.3639340","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3639233.3639340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1655368707","display_name":null,"funder_award_id":"61862064","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1669912781","https://openalex.org/W2140676672","https://openalex.org/W2159083595","https://openalex.org/W3163699936","https://openalex.org/W3173758804","https://openalex.org/W4230872509","https://openalex.org/W6600175266","https://openalex.org/W6600223405","https://openalex.org/W6600281463","https://openalex.org/W6600388300","https://openalex.org/W6600547696","https://openalex.org/W6600575157","https://openalex.org/W6600577311","https://openalex.org/W6600751047","https://openalex.org/W6602426847","https://openalex.org/W6605035644","https://openalex.org/W6607687417","https://openalex.org/W6727693337","https://openalex.org/W6858292552"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2944572343","https://openalex.org/W2333799855","https://openalex.org/W2351687372","https://openalex.org/W2004087835","https://openalex.org/W2314871050"],"abstract_inverted_index":{"Dialogue":[0],"segmentation":[1],"plays":[2],"a":[3,15,50,75,79],"crucial":[4],"role":[5],"in":[6,27,89],"various":[7],"dialogue":[8],"modeling":[9],"tasks.":[10],"Semantic":[11],"coherence-based":[12],"methods":[13,20],"are":[14],"major":[16],"trend,":[17],"but":[18,52],"previous":[19],"have":[21],"tended":[22],"to":[23,78],"take":[24],"fixed-size":[25],"units":[26],"assessing":[28,57],"semantic":[29,35,58],"coherence,":[30,59],"which":[31,60],"may":[32],"suffer":[33],"from":[34,74],"loss":[36],"or":[37],"noise":[38],"introduction,":[39],"thus":[40],"obtaining":[41],"inaccurate":[42],"coherence":[43,66],"scores.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"simple":[51],"effective":[53],"approach":[54],"for":[55],"dynamically":[56,69],"can":[61,97],"improve":[62],"the":[63,71],"accuracy":[64],"of":[65],"scoring":[67],"by":[68],"expanding":[70],"assessment":[72],"unit":[73],"single":[76],"utterance":[77],"semantically":[80],"related":[81],"context.":[82],"Experimental":[83],"results":[84],"on":[85],"three":[86],"benchmark":[87],"datasets":[88],"English":[90],"and":[91],"Chinese":[92],"demonstrate":[93],"that":[94],"our":[95],"proposal":[96],"achieve":[98],"competitive":[99],"performance":[100],"over":[101],"strong":[102],"baselines.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
