{"id":"https://openalex.org/W3034385177","doi":"https://doi.org/10.24963/ijcai.2020/502","title":"Guided Generation of Cause and Effect","display_name":"Guided Generation of Cause and Effect","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034385177","doi":"https://doi.org/10.24963/ijcai.2020/502","mag":"3034385177"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/502","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/502","pdf_url":"https://www.ijcai.org/proceedings/2020/0502.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0502.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100773642","display_name":"Zhongyang Li","orcid":"https://orcid.org/0000-0003-2194-0416"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhongyang Li","raw_affiliation_strings":["Harbin Institute of Technology, China","Johns Hopkins University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111364945","display_name":"Xiao Ding","orcid":"https://orcid.org/0000-0002-5838-0320"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ding","raw_affiliation_strings":["Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418120","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0001-8904-8796"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103230101","display_name":"J. Edward Hu","orcid":"https://orcid.org/0000-0002-5557-6790"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Edward Hu","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075825791","display_name":"Benjamin Van Durme","orcid":"https://orcid.org/0000-0003-4328-4288"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Van Durme","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3629","last_page":"3636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7515015602111816},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5586366653442383},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5124116539955139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48185622692108154},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4752756655216217},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4482460618019104},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4307374954223633},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39615076780319214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34263747930526733},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14295172691345215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1360553503036499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515015602111816},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5586366653442383},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5124116539955139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48185622692108154},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4752756655216217},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4482460618019104},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4307374954223633},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39615076780319214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34263747930526733},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14295172691345215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1360553503036499},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2020/502","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/502","pdf_url":"https://www.ijcai.org/proceedings/2020/0502.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2107.09846","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.09846","pdf_url":"https://arxiv.org/pdf/2107.09846","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":"doi:10.24963/ijcai.2020/502","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/502","pdf_url":"https://www.ijcai.org/proceedings/2020/0502.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034385177.pdf","grobid_xml":"https://content.openalex.org/works/W3034385177.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1579035156","https://openalex.org/W1593045043","https://openalex.org/W1811279891","https://openalex.org/W1966385235","https://openalex.org/W1973501513","https://openalex.org/W1991018417","https://openalex.org/W2048968173","https://openalex.org/W2050482109","https://openalex.org/W2145755360","https://openalex.org/W2145870355","https://openalex.org/W2151295812","https://openalex.org/W2162475884","https://openalex.org/W2165229719","https://openalex.org/W2166957049","https://openalex.org/W2181042685","https://openalex.org/W2250653840","https://openalex.org/W2250836121","https://openalex.org/W2251687660","https://openalex.org/W2251908882","https://openalex.org/W2252094027","https://openalex.org/W2294020355","https://openalex.org/W2402954262","https://openalex.org/W2485674475","https://openalex.org/W2508239101","https://openalex.org/W2511178802","https://openalex.org/W2561222820","https://openalex.org/W2561529111","https://openalex.org/W2585731554","https://openalex.org/W2604792945","https://openalex.org/W2613904329","https://openalex.org/W2623494909","https://openalex.org/W2739810148","https://openalex.org/W2739858629","https://openalex.org/W2741389109","https://openalex.org/W2786351140","https://openalex.org/W2798865369","https://openalex.org/W2803267010","https://openalex.org/W2831850043","https://openalex.org/W2889002152","https://openalex.org/W2889363461","https://openalex.org/W2891382250","https://openalex.org/W2945383715","https://openalex.org/W2945735543","https://openalex.org/W2950299257","https://openalex.org/W2952750383","https://openalex.org/W2953147883","https://openalex.org/W2962781380","https://openalex.org/W2962784628","https://openalex.org/W2962843521","https://openalex.org/W2963101081","https://openalex.org/W2963352809","https://openalex.org/W2964029788","https://openalex.org/W2964080504","https://openalex.org/W2964210047","https://openalex.org/W2964213257","https://openalex.org/W2964669873","https://openalex.org/W2964914104","https://openalex.org/W2972879420","https://openalex.org/W3012590175","https://openalex.org/W3082674894","https://openalex.org/W4238692914","https://openalex.org/W4244575301","https://openalex.org/W4288089799","https://openalex.org/W4297813663","https://openalex.org/W4322614701","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W2017509870","https://openalex.org/W4220731478"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,31,43,94,103],"conditional":[3],"text":[4],"generation":[5],"framework":[6,17],"that":[7,74],"posits":[8],"sentential":[9],"expressions":[10],"of":[11,28,35,90],"possible":[12],"causes":[13],"and":[14,42,79],"effects.":[15],"This":[16],"depends":[18],"on":[19,48,106],"two":[20],"novel":[21],"resources":[22],"we":[23,59,83],"develop":[24],"in":[25,63,114],"the":[26,107],"course":[27],"this":[29],"work:":[30],"very":[32],"large-scale":[33],"collection":[34],"English":[36],"sentences":[37],"expressing":[38],"causal":[39,52,99],"patterns":[40],"(CausalBank);":[41],"refinement":[44],"over":[45],"previous":[46],"work":[47,62],"constructing":[49],"large":[50],"lexical":[51],"knowledge":[53],"graphs":[54],"(Cause":[55],"Effect":[56],"Graph).":[57],"Further,":[58],"extend":[60],"prior":[61],"lexically-constrained":[64],"decoding":[65],"to":[66,86,102],"support":[67],"disjunctive":[68],"positive":[69],"constraints.":[70],"Human":[71],"assessment":[72],"con\ufb01rms":[73],"our":[75],"approach":[76],"gives":[77],"high-quality":[78],"diverse":[80],"outputs.":[81],"Finally,":[82],"use":[84],"CausalBank":[85],"perform":[87],"continued":[88],"training":[89],"an":[91],"encoder":[92],"supporting":[93],"recent":[95],"state-of-the-art":[96],"model":[97,115],"for":[98],"reasoning,":[100],"leading":[101],"3-point":[104],"improvement":[105],"COPA":[108],"challenge":[109],"set,":[110],"with":[111],"no":[112],"change":[113],"architecture.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}