{"id":"https://openalex.org/W3025315696","doi":"https://doi.org/10.1145/3383583.3398598","title":"Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data","display_name":"Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3025315696","doi":"https://doi.org/10.1145/3383583.3398598","mag":"3025315696"},"language":"en","primary_location":{"id":"doi:10.1145/3383583.3398598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383583.3398598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.05414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Soumya Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Soumya Banerjee","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Debarshi Kumar Sanyal","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debarshi Kumar Sanyal","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Samiran Chattopadhyay","orcid":null},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samiran Chattopadhyay","raw_affiliation_strings":["Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Plaban Kumar Bhowmick","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Plaban Kumar Bhowmick","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Partha Pratim Das","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Pratim Das","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.6857,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7614011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"432"},"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/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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.694100022315979},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6765999794006348},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.5956000089645386},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46239998936653137},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4465000033378601},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41760000586509705},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.3995000123977661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3919000029563904}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7354000210762024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153000235557556},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.694100022315979},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6765999794006348},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5956000089645386},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4952999949455261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46239998936653137},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41760000586509705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4174000024795532},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3294000029563904},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2556000053882599}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3383583.3398598","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383583.3398598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.05414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.05414","pdf_url":"https://arxiv.org/pdf/2005.05414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.05414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.05414","pdf_url":"https://arxiv.org/pdf/2005.05414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2053154970","https://openalex.org/W2250539671","https://openalex.org/W2898725686","https://openalex.org/W4211191796"],"related_works":[],"abstract_inverted_index":{"The":[0,62],"abstract":[1,26,108],"of":[2,9,64,80,135,143,149,163,167,182],"a":[3,13,118,131,175],"scientific":[4],"paper":[5,11],"distills":[6],"the":[7,10,17,146,161,164,168,179,185],"contents":[8],"into":[12,27],"short":[14],"paragraph.":[15],"In":[16,85],"biomedical":[18],"literature,":[19],"it":[20,68,129],"is":[21,40,188],"customary":[22],"to":[23,70,159,173,178],"structure":[24],"an":[25,107,141,156],"discourse":[28,98],"categories":[29,49,99,112],"like":[30,45],"BACKGROUND,":[31,101],"OBJECTIVE,":[32],"METHOD,":[33],"RESULT,":[34],"and":[35,60,103],"CONCLUSION,":[36],"but":[37],"this":[38,86,90],"segmentation":[39,79,181],"uncommon":[41],"in":[42,82],"other":[43],"fields":[44],"computer":[46,136,150],"science.":[47],"Explicit":[48],"could":[50],"be":[51,174],"helpful":[52],"for":[53,76,106],"more":[54],"granular,":[55],"that":[56],"is,":[57],"discourse-level":[58,78],"search":[59],"recommendation.":[61],"sparsity":[63],"labeled":[65,186],"data":[66,187],"makes":[67],"challenging":[69],"construct":[71],"supervised":[72],"machine":[73],"learning":[74],"solutions":[75],"automatic":[77,180],"abstracts":[81,124],"non-bio":[83],"domains.":[84],"paper,":[87],"we":[88],"address":[89],"problem":[91],"using":[92],"transfer":[93],"learning.":[94],"We":[95,116,139,153],"define":[96],"three":[97,111],"--":[100,105],"TECHNIQUE,":[102],"OBSERVATION":[104],"because":[109],"these":[110],"are":[113],"most":[114],"common.":[115],"train":[117],"deep":[119],"neural":[120],"network":[121],"on":[122,130,145],"structured":[123],"from":[125],"PubMed,":[126],"then":[127],"fine-tune":[128],"small":[132],"hand-labeled":[133],"corpus":[134,148],"science":[137,151],"papers.":[138,152],"observe":[140],"accuracy":[142],"75%":[144],"test":[147],"also":[154],"perform":[155],"ablation":[157],"study":[158],"highlight":[160],"roles":[162],"different":[165],"parts":[166],"model.":[169],"Our":[170],"method":[171],"appears":[172],"promising":[176],"solution":[177],"abstracts,":[183],"where":[184],"sparse.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-05-21T00:00:00"}