{"id":"https://openalex.org/W2252037756","doi":"https://doi.org/10.3115/v1/w14-2103","title":"An automated method to build a corpus of rhetorically-classified sentences in biomedical texts","display_name":"An automated method to build a corpus of rhetorically-classified sentences in biomedical texts","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2252037756","doi":"https://doi.org/10.3115/v1/w14-2103","mag":"2252037756"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-2103","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2103","pdf_url":"https://aclanthology.org/W14-2103.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 Argumentation Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-2103.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024229484","display_name":"Hospice Houngbo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hospice Houngbo","raw_affiliation_strings":["Department of Computer Science The University of Western Ontario"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science The University of Western Ontario","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056001196","display_name":"Robert E. Mercer","orcid":"https://orcid.org/0000-0002-0080-715X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Mercer","raw_affiliation_strings":["Department of Computer Science The University of Western Ontario"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science The University of Western Ontario","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024229484"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4972,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95986604,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9984999895095825,"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":0.8145714998245239},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7785694003105164},{"id":"https://openalex.org/keywords/rhetorical-question","display_name":"Rhetorical question","score":0.7773374915122986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7496379613876343},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5273821353912354},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49519315361976624},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48374390602111816},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.479665070772171},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.44410279393196106},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2554267346858978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145714998245239},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7785694003105164},{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.7773374915122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7496379613876343},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5273821353912354},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49519315361976624},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48374390602111816},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.479665070772171},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.44410279393196106},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2554267346858978},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/w14-2103","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2103","pdf_url":"https://aclanthology.org/W14-2103.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 Argumentation Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.7814","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.7814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://anthology.aclweb.org/W/W14/W14-2103.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-2103","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-2103","pdf_url":"https://aclanthology.org/W14-2103.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 Argumentation Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2252037756.pdf","grobid_xml":"https://content.openalex.org/works/W2252037756.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W23149702","https://openalex.org/W1480287196","https://openalex.org/W1570448133","https://openalex.org/W2001829063","https://openalex.org/W2028473264","https://openalex.org/W2040838629","https://openalex.org/W2043780729","https://openalex.org/W2080558111","https://openalex.org/W2096537696","https://openalex.org/W2097606805","https://openalex.org/W2107141268","https://openalex.org/W2120587524","https://openalex.org/W2123107826","https://openalex.org/W2148008364","https://openalex.org/W2159230276","https://openalex.org/W2250803090","https://openalex.org/W4238727007"],"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":{"The":[0,78],"rhetorical":[1,36,86],"classification":[2],"of":[3,15,18,58,84,103],"sentences":[4],"in":[5,12],"biomedical":[6,74],"texts":[7],"is":[8,80],"an":[9,100],"important":[10],"task":[11],"the":[13,16,35,62,85],"recognition":[14,30],"components":[17],"a":[19,47,55,67,72,95],"scientific":[20],"argument.":[21],"Generating":[22],"supervised":[23],"machine":[24],"learned":[25],"models":[26],"to":[27,65],"do":[28],"this":[29],"requires":[31],"corpora":[32,51],"annotated":[33,50,81],"for":[34,82],"categories":[37,87],"Introduction":[38,89],"(or":[39,44],"Background),":[40],"Method,":[41],"Result,":[42],"Discussion":[43],"Conclusion).":[45],"Currently,":[46],"few,":[48],"small":[49],"exist.":[52],"We":[53],"use":[54],"straightforward":[56],"feature":[57],"co-referring":[59],"text":[60],"using":[61],"word":[63],"\"this\"":[64],"build":[66],"selfannotating":[68],"corpus":[69,79],"extracted":[70],"from":[71],"large":[73],"research":[75],"paper":[76],"dataset.":[77],"all":[83],"except":[88],"without":[90],"involving":[91],"domain":[92],"experts.":[93],"In":[94],"10-fold":[96],"cross-validation,":[97],"we":[98],"report":[99],"overall":[101],"Fscore":[102],"97%":[104],"with":[105,110],"Nave":[106],"Bayes":[107],"and":[108],"98.7%":[109],"SVM,":[111],"far":[112],"above":[113],"those":[114],"previously":[115],"reported.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}