{"id":"https://openalex.org/W2798344278","doi":"https://doi.org/10.18653/v1/n18-2060","title":"Syntactic Patterns Improve Information Extraction for Medical Search","display_name":"Syntactic Patterns Improve Information Extraction for Medical Search","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798344278","doi":"https://doi.org/10.18653/v1/n18-2060","mag":"2798344278","pmid":"https://pubmed.ncbi.nlm.nih.gov/30306147"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n18-2060","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n18-2060","pdf_url":"https://www.aclweb.org/anthology/N18-2060.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 2018 Conference of the North American Chapter of\n          the Association for Computational Linguistics: Human Language\n          Technologies, Volume 2 (Short Papers)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/N18-2060.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042032005","display_name":"Roma Patel","orcid":"https://orcid.org/0000-0003-2075-2560"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Roma Patel","raw_affiliation_strings":["Dept. of Computer & Information Science, University of Pennsylvania#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer & Information Science, University of Pennsylvania#TAB#","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112593580","display_name":"Yinfei Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinfei Yang","raw_affiliation_strings":["Department of Computer and Information Science, University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036860076","display_name":"Iain Marshall","orcid":"https://orcid.org/0000-0003-2594-2654"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I164213776","display_name":"King's College - North Carolina","ror":"https://ror.org/022f44628","country_code":"US","type":"education","lineage":["https://openalex.org/I164213776"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Iain Marshall","raw_affiliation_strings":["Department of Primary Care and Public Health Sciences, Kings College London"],"affiliations":[{"raw_affiliation_string":"Department of Primary Care and Public Health Sciences, Kings College London","institution_ids":["https://openalex.org/I164213776","https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032571629","display_name":"Ani Nenkova","orcid":"https://orcid.org/0000-0002-5825-7875"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ani Nenkova","raw_affiliation_strings":["Department of Computer and Information Science, University of Pennsylvania","Dept. of Computer & Information Science, University of Pennsylvania#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Dept. of Computer & Information Science, University of Pennsylvania#TAB#","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036790226","display_name":"Byron Wallace","orcid":"https://orcid.org/0000-0003-2409-7735"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Byron Wallace","raw_affiliation_strings":["College of Computer and Information Science, Northeastern University","College of Computer & Information Science, Northeastern University#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Northeastern University","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"College of Computer & Information Science, Northeastern University#TAB#","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042032005"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.1692,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58043447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2018","issue":"Short Paper","first_page":"371","last_page":"377"},"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":0.9991000294685364,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9986000061035156,"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":0.7932434678077698},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7149280309677124},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6039662957191467},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5514959096908569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5260481834411621},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5238350033760071},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.508662760257721},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4752461910247803},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4452873766422272},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35441821813583374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932434678077698},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7149280309677124},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6039662957191467},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5514959096908569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5260481834411621},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5238350033760071},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.508662760257721},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4752461910247803},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4452873766422272},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35441821813583374},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.18653/v1/n18-2060","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n18-2060","pdf_url":"https://www.aclweb.org/anthology/N18-2060.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 2018 Conference of the North American Chapter of\n          the Association for Computational Linguistics: Human Language\n          Technologies, Volume 2 (Short Papers)","raw_type":"proceedings-article"},{"id":"pmid:30306147","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30306147","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting","raw_type":null},{"id":"pmh:oai:arXiv.org:1805.00097","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.00097","pdf_url":"https://arxiv.org/pdf/1805.00097","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":"","raw_type":"text"},{"id":"pmh:oai:europepmc.org:5119160","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6174535","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6174535","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6174535","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc Conf","raw_type":"Text"},{"id":"doi:10.48550/arxiv.1805.00097","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.00097","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2798344278","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/n18-2060","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n18-2060","pdf_url":"https://www.aclweb.org/anthology/N18-2060.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 2018 Conference of the North American Chapter of\n          the Association for Computational Linguistics: Human Language\n          Technologies, Volume 2 (Short Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1562930878","display_name":null,"funder_award_id":"CCF-1433220","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5921281487","display_name":null,"funder_award_id":"number","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6100344857","display_name":null,"funder_award_id":"UH2CA203711","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G77387989","display_name":null,"funder_award_id":"1433220","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798344278.pdf","grobid_xml":"https://content.openalex.org/works/W2798344278.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W49437421","https://openalex.org/W1512387364","https://openalex.org/W1522301498","https://openalex.org/W1574574070","https://openalex.org/W1605599215","https://openalex.org/W1741677433","https://openalex.org/W1888011339","https://openalex.org/W2101234009","https://openalex.org/W2123442489","https://openalex.org/W2134568263","https://openalex.org/W2147880316","https://openalex.org/W2157679146","https://openalex.org/W2186685500","https://openalex.org/W2296283641","https://openalex.org/W2418587547","https://openalex.org/W2484269232","https://openalex.org/W2897901419","https://openalex.org/W2950133940"],"related_works":["https://openalex.org/W1591368095","https://openalex.org/W2096315187","https://openalex.org/W1758944695","https://openalex.org/W3120130920","https://openalex.org/W2404246799","https://openalex.org/W3113032096","https://openalex.org/W3094563638","https://openalex.org/W2337036940","https://openalex.org/W1534993021","https://openalex.org/W3016899578","https://openalex.org/W2798517054","https://openalex.org/W2788371362","https://openalex.org/W2463188703","https://openalex.org/W2954268854","https://openalex.org/W2788283425","https://openalex.org/W3118722694","https://openalex.org/W3029100419","https://openalex.org/W2405052758","https://openalex.org/W2948460073","https://openalex.org/W2359961575"],"abstract_inverted_index":{"Medical":[0],"professionals":[1],"search":[2],"the":[3,8,12,16,32,56,62,69,88,93],"published":[4],"literature":[5],"by":[6],"specifying":[7],"type":[9,57],"of":[10,19,34,46,55,58,87],"<i>patients</i>,":[11],"medical":[13],"<i>intervention(s)</i>":[14],"and":[15,41,61],"<i>outcome</i>":[17],"measure(s)":[18],"interest.":[20],"In":[21],"this":[22],"paper":[23],"we":[24],"demonstrate":[25],"how":[26],"features":[27],"encoding":[28],"syntactic":[29],"patterns":[30,59,94],"improve":[31],"performance":[33],"state-of-the-art":[35],"sequence":[36],"tagging":[37],"models":[38],"(both":[39],"linear":[40],"neural)":[42],"for":[43,66,73],"information":[44,97],"extraction":[45],"these":[47,80],"medically":[48],"relevant":[49],"categories.":[50],"We":[51,77],"present":[52],"an":[53],"analysis":[54],"exploited,":[60],"semantic":[63],"space":[64],"induced":[65],"these,":[67],"i.e.,":[68],"distributed":[70],"representations":[71,82],"learned":[72,81],"identified":[74],"multi-token":[75],"patterns.":[76],"show":[78],"that":[79,92,98],"differ":[83],"substantially":[84],"from":[85],"those":[86],"constituent":[89],"unigrams,":[90],"suggesting":[91],"capture":[95],"contextual":[96],"is":[99],"otherwise":[100],"lost.":[101]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
