{"id":"https://openalex.org/W4385571573","doi":"https://doi.org/10.18653/v1/2023.clinicalnlp-1.25","title":"Textual Entailment for Temporal Dependency Graph Parsing","display_name":"Textual Entailment for Temporal Dependency Graph Parsing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385571573","doi":"https://doi.org/10.18653/v1/2023.clinicalnlp-1.25"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.clinicalnlp-1.25","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.clinicalnlp-1.25","pdf_url":"https://aclanthology.org/2023.clinicalnlp-1.25.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 5th Clinical Natural Language Processing Workshop","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.clinicalnlp-1.25.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111274045","display_name":"Jiarui Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiarui Yao","raw_affiliation_strings":["Boston Children's Hospital and Harvard Medical School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston Children's Hospital and Harvard Medical School","institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068978543","display_name":"Steven Bethard","orcid":"https://orcid.org/0000-0001-9560-6491"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Bethard","raw_affiliation_strings":["University of Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049290062","display_name":"Kristin Wright-Bettner","orcid":null},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristin Wright-Bettner","raw_affiliation_strings":["University of Colorado at Boulder"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado at Boulder","institution_ids":["https://openalex.org/I2802236040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046423981","display_name":"Eli Goldner","orcid":"https://orcid.org/0000-0003-3226-0942"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eli Goldner","raw_affiliation_strings":["Boston Children's Hospital and Harvard Medical School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston Children's Hospital and Harvard Medical School","institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056922384","display_name":"David J. Harris","orcid":"https://orcid.org/0000-0003-3332-9307"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Harris","raw_affiliation_strings":["Boston Children's Hospital and Harvard Medical School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston Children's Hospital and Harvard Medical School","institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106184320","display_name":"Guergana Savova","orcid":null},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guergana Savova","raw_affiliation_strings":["Boston Children's Hospital and Harvard Medical School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston Children's Hospital and Harvard Medical School","institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8270507454872131},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7839647531509399},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7839233875274658},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.7435073256492615},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6213685870170593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6134213209152222},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5571423172950745},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5347923636436462},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5339649319648743},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47697457671165466},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15801593661308289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270507454872131},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7839647531509399},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7839233875274658},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.7435073256492615},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6213685870170593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134213209152222},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5571423172950745},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5347923636436462},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5339649319648743},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47697457671165466},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15801593661308289},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.clinicalnlp-1.25","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.clinicalnlp-1.25","pdf_url":"https://aclanthology.org/2023.clinicalnlp-1.25.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 5th Clinical Natural Language Processing Workshop","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.clinicalnlp-1.25","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.clinicalnlp-1.25","pdf_url":"https://aclanthology.org/2023.clinicalnlp-1.25.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 5th Clinical Natural Language Processing Workshop","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[{"id":"https://openalex.org/G5529147748","display_name":null,"funder_award_id":"R01LM010090","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G5539889705","display_name":null,"funder_award_id":"R01LM010090","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385571573.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W30314283","https://openalex.org/W2115678331","https://openalex.org/W2157275230","https://openalex.org/W2251220668","https://openalex.org/W2251325107","https://openalex.org/W2293452551","https://openalex.org/W2468432491","https://openalex.org/W2572068829","https://openalex.org/W2759211898","https://openalex.org/W2890601481","https://openalex.org/W2917019145","https://openalex.org/W2963144333","https://openalex.org/W2963797084","https://openalex.org/W2963846996","https://openalex.org/W2965373594","https://openalex.org/W2979826702","https://openalex.org/W3101246020","https://openalex.org/W3103118736","https://openalex.org/W3103341697","https://openalex.org/W3106477919","https://openalex.org/W3169445878","https://openalex.org/W3170759063","https://openalex.org/W3198490223","https://openalex.org/W4287854458","https://openalex.org/W4287890923","https://openalex.org/W4312107608","https://openalex.org/W4312349643"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W4241489294","https://openalex.org/W2098784136","https://openalex.org/W287510790","https://openalex.org/W63925617","https://openalex.org/W2151754849","https://openalex.org/W2252142543","https://openalex.org/W2968543375","https://openalex.org/W2953770453","https://openalex.org/W4288558800"],"abstract_inverted_index":{"We":[0,11,55],"explore":[1],"temporal":[2],"dependency":[3],"graph":[4],"(TDG)":[5],"parsing":[6,83],"in":[7],"the":[8,16,49,72,78],"clinical":[9,52,73,85],"domain.":[10],"leverage":[12],"existing":[13],"annotations":[14],"on":[15,42,59,84],"THYME":[17],"dataset":[18],"to":[19,35],"semi-automatically":[20],"construct":[21],"a":[22,28,64],"TDG":[23,36,53,82],"corpus.":[24,54],"Then":[25],"we":[26],"propose":[27],"new":[29],"natural":[30],"language":[31],"inference":[32],"(NLI)":[33],"approach":[34],"parsing,":[37],"and":[38,48],"evaluate":[39],"it":[40],"both":[41],"general":[43,60],"domain":[44,61],"TDGs":[45,62],"from":[46],"wikinews":[47],"newly":[50],"constructed":[51],"achieve":[56],"competitive":[57],"performance":[58],"with":[63,87],"much":[65],"simpler":[66],"model":[67],"than":[68],"prior":[69],"work.":[70],"On":[71],"TDGs,":[74],"our":[75],"method":[76],"establishes":[77],"first":[79],"result":[80],"of":[81],"data":[86],"0.79/0.88":[88],"micro/macro":[89],"F1.":[90]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
