{"id":"https://openalex.org/W2741930244","doi":"https://doi.org/10.18653/v1/w17-2307","title":"Tackling Biomedical Text Summarization: OAQA at BioASQ 5B","display_name":"Tackling Biomedical Text Summarization: OAQA at BioASQ 5B","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741930244","doi":"https://doi.org/10.18653/v1/w17-2307","mag":"2741930244"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-2307","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2307","pdf_url":"https://www.aclweb.org/anthology/W17-2307.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":"BioNLP 2017","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/W17-2307.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007169600","display_name":"Khyathi Raghavi Chandu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khyathi Chandu","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087743328","display_name":"Aakanksha Naik","orcid":"https://orcid.org/0000-0002-3673-0051"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aakanksha Naik","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036703671","display_name":"Aditya Chandrasekar","orcid":"https://orcid.org/0000-0003-4076-3427"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Chandrasekar","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112207704","display_name":"Zi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zi Yang","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020877959","display_name":"Niloy Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niloy Gupta","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063241234","display_name":"Eric Nyberg","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Nyberg","raw_affiliation_strings":["Language Technologies Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"66"},"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":0.9998000264167786,"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":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.8262840509414673},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8059890270233154},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6271528005599976},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5774029493331909},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5645240545272827},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.545661211013794},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5390505194664001},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5327455997467041},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5284167528152466},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5026235580444336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4927859604358673},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4917896091938019},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.437186062335968},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.2715400457382202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8262840509414673},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8059890270233154},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6271528005599976},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5774029493331909},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5645240545272827},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.545661211013794},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5390505194664001},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5327455997467041},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5284167528152466},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5026235580444336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927859604358673},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4917896091938019},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.437186062335968},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2715400457382202},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-2307","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2307","pdf_url":"https://www.aclweb.org/anthology/W17-2307.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":"BioNLP 2017","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-2307","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2307","pdf_url":"https://www.aclweb.org/anthology/W17-2307.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":"BioNLP 2017","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G275987135","display_name":"BIGDATA: Collaborative Research: F: Study of a Cyber-Enabled Social Computing Framework for Improving Practice in Online Computing Communities","funder_award_id":"1546393","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307894","display_name":"Accenture","ror":"https://ror.org/013g16z83"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741930244.pdf","grobid_xml":"https://content.openalex.org/works/W2741930244.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W32715122","https://openalex.org/W138612281","https://openalex.org/W1483357098","https://openalex.org/W1538369613","https://openalex.org/W1981208470","https://openalex.org/W2083305840","https://openalex.org/W2102328564","https://openalex.org/W2119788759","https://openalex.org/W2150824314","https://openalex.org/W2153579005","https://openalex.org/W2251654079","https://openalex.org/W2400998038","https://openalex.org/W2404428026","https://openalex.org/W2406476085","https://openalex.org/W2510358553","https://openalex.org/W3138773240","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4214678372","https://openalex.org/W1605559518","https://openalex.org/W4214601164","https://openalex.org/W2133478886","https://openalex.org/W947140380","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338"],"abstract_inverted_index":{"In":[0],"this":[1,70],"paper,":[2],"we":[3],"describe":[4,35],"our":[5,36,108,113],"participation":[6],"in":[7],"phase":[8],"B":[9],"of":[10,13,17,64,123,133,138],"task":[11,71],"5b":[12],"the":[14,18,46,120,124],"fifth":[15],"edition":[16,122],"annual":[19],"BioASQ":[20],"challenge,":[21],"which":[22,106],"includes":[23],"answering":[24],"factoid,":[25],"list,":[26],"yes-no":[27],"and":[28,72,78,88,101,135],"summary":[29,56],"questions":[30],"from":[31,57,119],"biomedical":[32,76],"data.":[33],"We":[34,61,91,111],"techniques":[37,67,114],"with":[38,74],"an":[39],"emphasis":[40],"on":[41,115],"ideal":[42],"answer":[43],"generation,":[44],"where":[45],"goal":[47],"is":[48],"to":[49,68],"produce":[50],"a":[51,93,102,130],"relevant,":[52],"precise,":[53],"non-redundant,":[54],"query-oriented":[55],"multiple":[58],"relevant":[59],"documents.":[60],"make":[62],"use":[63],"extractive":[65],"summarization":[66],"address":[69],"experiment":[73],"different":[75],"ontologies":[77],"various":[79],"algorithms":[80],"including":[81],"agglomerative":[82],"clustering,":[83],"Maximum":[84],"Marginal":[85],"Relevance":[86],"(MMR)":[87],"sentence":[89],"compression.":[90],"propose":[92],"novel":[94],"word":[95],"embedding":[96],"based":[97],"tf-idf":[98],"similarity":[99],"metric":[100],"soft":[103],"positional":[104],"constraint":[105],"improve":[107],"system":[109,128],"performance.":[110],"evaluate":[112],"test":[116],"batch":[117],"4":[118],"fourth":[121],"challenge.":[125],"Our":[126],"best":[127],"achieves":[129],"ROUGE-2":[131],"score":[132,137],"0.6534":[134],"ROUGE-SU4":[136],"0.6536.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
