{"id":"https://openalex.org/W2250674905","doi":"https://doi.org/10.18653/v1/w15-2706","title":"Identification and Disambiguation of Lexical Cues of Rhetorical Relations across Different Text Genres","display_name":"Identification and Disambiguation of Lexical Cues of Rhetorical Relations across Different Text Genres","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250674905","doi":"https://doi.org/10.18653/v1/w15-2706","mag":"2250674905"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w15-2706","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2706","pdf_url":"https://www.aclweb.org/anthology/W15-2706.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 First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W15-2706.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051013812","display_name":"Taraneh Khazaei","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Taraneh Khazaei","raw_affiliation_strings":["Department of Computer Science University of Western Ontario London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Western Ontario London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007412395","display_name":"Lu Xiao","orcid":"https://orcid.org/0000-0001-5420-1578"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lu Xiao","raw_affiliation_strings":["Faculty of Information & Media Studies University of Western Ontario London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Information & Media Studies University of Western Ontario London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056001196","display_name":"Robert E. Mercer","orcid":"https://orcid.org/0000-0002-0080-715X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Mercer","raw_affiliation_strings":["Department of Computer Science University of Western Ontario London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Western Ontario London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051013812"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":0.8902,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83657183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9936000108718872,"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":0.7100170254707336},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6680409908294678},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.6184845566749573},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5998136401176453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803541541099548},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5058510303497314},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4957490861415863},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4603651762008667},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4349897801876068},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.425092875957489},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3786356747150421}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100170254707336},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6680409908294678},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.6184845566749573},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5998136401176453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803541541099548},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5058510303497314},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4957490861415863},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4603651762008667},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4349897801876068},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.425092875957489},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3786356747150421},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w15-2706","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2706","pdf_url":"https://www.aclweb.org/anthology/W15-2706.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 First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w15-2706","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2706","pdf_url":"https://www.aclweb.org/anthology/W15-2706.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 First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250674905.pdf","grobid_xml":"https://content.openalex.org/works/W2250674905.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W13254153","https://openalex.org/W54772941","https://openalex.org/W321492510","https://openalex.org/W645937921","https://openalex.org/W1563792215","https://openalex.org/W1730134856","https://openalex.org/W1780240572","https://openalex.org/W1968871606","https://openalex.org/W1979913510","https://openalex.org/W1991169218","https://openalex.org/W2033043215","https://openalex.org/W2044599851","https://openalex.org/W2045738181","https://openalex.org/W2046436395","https://openalex.org/W2056416066","https://openalex.org/W2056710995","https://openalex.org/W2076139272","https://openalex.org/W2082118847","https://openalex.org/W2097606805","https://openalex.org/W2108786706","https://openalex.org/W2126948581","https://openalex.org/W2153365547","https://openalex.org/W2154407881","https://openalex.org/W2159082870","https://openalex.org/W2165887782","https://openalex.org/W2166957049","https://openalex.org/W2170496269","https://openalex.org/W2250397934","https://openalex.org/W2250597058","https://openalex.org/W2251211118","https://openalex.org/W2251293245","https://openalex.org/W2251521080","https://openalex.org/W2275237358","https://openalex.org/W4249696776","https://openalex.org/W4250641076","https://openalex.org/W4253555784"],"related_works":["https://openalex.org/W2594084610","https://openalex.org/W2779608055","https://openalex.org/W1975975036","https://openalex.org/W600290691","https://openalex.org/W1990962480","https://openalex.org/W4386073139","https://openalex.org/W123503334","https://openalex.org/W4400470172","https://openalex.org/W4308202662","https://openalex.org/W2259409290"],"abstract_inverted_index":{"Lexical":[0],"cues":[1,16,57,88],"are":[2,58,84],"linguistic":[3],"expressions":[4],"that":[5],"can":[6,17],"signal":[7,23],"the":[8,67,72,76,90,94,100,106,132],"presence":[9,77],"of":[10,50,78,89,96,102,108,135],"a":[11,34,43,48,79,114,124],"rhetorical":[12],"relation.":[13,81],"However,":[14],"such":[15],"be":[18,123],"ambiguous":[19],"as":[20,33,52],"they":[21],"may":[22,29],"more":[24,125],"than":[25],"one":[26],"relation":[27,35],"or":[28],"not":[30],"always":[31],"function":[32],"indicator.":[36],"In":[37],"this":[38],"study,":[39],"we":[40],"first":[41],"conduct":[42],"corpus-based":[44],"analysis":[45],"to":[46,65,116,122,131],"derive":[47],"set":[49],"n-grams":[51],"potential":[53],"lexical":[54],"cues.":[55],"These":[56],"then":[59],"utilized":[60],"in":[61,70,105],"graph-based":[62],"probabilistic":[63],"models":[64],"determine":[66],"syntactic":[68,97,118,136],"context":[69,107],"which":[71],"cue":[73,103],"is":[74,120],"signaling":[75],"particular":[80],"Evaluation":[82],"results":[83],"reported":[85],"for":[86,99],"various":[87],"CIRCUMSTANCE":[91],"relation,":[92],"confirming":[93],"value":[95],"features":[98],"task":[101],"disambiguation":[104],"Rhetorical":[109],"Structure":[110],"Theory.":[111],"Moreover,":[112],"using":[113],"graph":[115],"encode":[117],"information":[119],"shown":[121],"generalizable":[126],"and":[127],"effective":[128],"approach":[129],"compared":[130],"direct":[133],"usage":[134],"features.":[137]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}