{"id":"https://openalex.org/W4367046691","doi":"https://doi.org/10.1145/3543507.3583504","title":"Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction","display_name":"Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046691","doi":"https://doi.org/10.1145/3543507.3583504"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583504","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 Web Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012123847","display_name":"Mi Zhang","orcid":"https://orcid.org/0000-0003-0374-8009"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mi Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040759280","display_name":"Tieyun Qian","orcid":"https://orcid.org/0000-0003-4667-5794"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieyun Qian","raw_affiliation_strings":["School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007800025","display_name":"Ting Zhang","orcid":"https://orcid.org/0000-0002-9834-2847"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011432671","display_name":"Xin Miao","orcid":"https://orcid.org/0000-0001-6689-0606"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Miao","raw_affiliation_strings":["School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012123847"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.7131,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74927401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1832","last_page":"1842"},"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":0.9983000159263611,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9926000237464905,"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/counterfactual-conditional","display_name":"Counterfactual conditional","score":0.8392986059188843},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7891373634338379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7722493410110474},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7246478796005249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.592512309551239},{"id":"https://openalex.org/keywords/causation","display_name":"Causation","score":0.5429044365882874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.507455050945282},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.42208027839660645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36488938331604004},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34925419092178345},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.2977195382118225},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.1025114357471466},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10120934247970581}],"concepts":[{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.8392986059188843},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7891373634338379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722493410110474},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7246478796005249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.592512309551239},{"id":"https://openalex.org/C166151441","wikidata":"https://www.wikidata.org/wiki/Q4923601","display_name":"Causation","level":2,"score":0.5429044365882874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.507455050945282},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.42208027839660645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36488938331604004},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34925419092178345},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2977195382118225},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.1025114357471466},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10120934247970581},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583504","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583504","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 Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W284239745","https://openalex.org/W1976373002","https://openalex.org/W2123442489","https://openalex.org/W2250539671","https://openalex.org/W2295107390","https://openalex.org/W2295528990","https://openalex.org/W2517194566","https://openalex.org/W2799072540","https://openalex.org/W2952768212","https://openalex.org/W2963020213","https://openalex.org/W2963718112","https://openalex.org/W2964217331","https://openalex.org/W2984452801","https://openalex.org/W3023497337","https://openalex.org/W3099844187","https://openalex.org/W3101449015","https://openalex.org/W3103857453","https://openalex.org/W3104415840","https://openalex.org/W3111711122","https://openalex.org/W3116453892","https://openalex.org/W3167136668","https://openalex.org/W3173169192","https://openalex.org/W3174057701","https://openalex.org/W3174258185","https://openalex.org/W3176197839","https://openalex.org/W3176251244","https://openalex.org/W3177397812","https://openalex.org/W3194836374","https://openalex.org/W3196690920","https://openalex.org/W3211867455","https://openalex.org/W4280518705","https://openalex.org/W6601346515"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2064899505","https://openalex.org/W1951014142","https://openalex.org/W2483499669","https://openalex.org/W2948755784","https://openalex.org/W2497315456","https://openalex.org/W2228647619","https://openalex.org/W2500483545"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,31],"relation":[3],"extraction":[4],"(RE)":[5],"is":[6,25,59],"to":[7,27,56,60],"extract":[8],"the":[9,15,29,35,62,74,78],"semantic":[10],"relations":[11],"between/among":[12],"entities":[13],"in":[14,21,44],"text.":[16],"As":[17],"a":[18],"fundamental":[19],"task":[20],"information":[22],"systems,":[23],"it":[24,71],"crucial":[26],"ensure":[28],"robustness":[30],"RE":[32,45,90],"models.":[33],"Despite":[34],"high":[36],"accuracy":[37],"current":[38],"deep":[39],"neural":[40],"models":[41],"have":[42],"achieved":[43],"tasks,":[46],"they":[47],"are":[48],"easily":[49],"affected":[50],"by":[51],"spurious":[52],"correlations.":[53],"One":[54],"solution":[55],"this":[57],"problem":[58],"train":[61],"model":[63],"with":[64],"counterfactually":[65],"augmented":[66],"data":[67],"(CAD)":[68],"such":[69],"that":[70],"can":[72],"learn":[73],"causation":[75],"rather":[76],"than":[77],"confounding.":[79],"However,":[80],"no":[81],"attempt":[82],"has":[83],"been":[84],"made":[85],"on":[86],"generating":[87],"counterfactuals":[88],"for":[89],"tasks.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
