{"id":"https://openalex.org/W2561413761","doi":"https://doi.org/10.18653/v1/d16-1151","title":"Cross Sentence Inference for Process Knowledge","display_name":"Cross Sentence Inference for Process Knowledge","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2561413761","doi":"https://doi.org/10.18653/v1/d16-1151","mag":"2561413761"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d16-1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1151","pdf_url":"https://www.aclweb.org/anthology/D16-1151.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D16-1151.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039581681","display_name":"Samuel Louvan","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Samuel Louvan","raw_affiliation_strings":["Stony Brook University,"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012867585","display_name":"Chetan Naik","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chetan Naik","raw_affiliation_strings":["Stony Brook University,"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109346867","display_name":"Sadhana Kumaravel","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sadhana Kumaravel","raw_affiliation_strings":["Stony Brook University,"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046749364","display_name":"Hee Young Kwon","orcid":"https://orcid.org/0000-0002-8158-4110"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heeyoung Kwon","raw_affiliation_strings":["Stony Brook University,"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101768349","display_name":"Niranjan Balasubramanian","orcid":"https://orcid.org/0000-0003-4187-9368"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niranjan Balasubramanian","raw_affiliation_strings":["Stony Brook University,"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081635691","display_name":"Peter E. Clark","orcid":"https://orcid.org/0000-0002-8006-7015"},"institutions":[{"id":"https://openalex.org/I4210140341","display_name":"Allen Institute","ror":"https://ror.org/03cpe7c52","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Clark","raw_affiliation_strings":["Allen Institute for AI,"],"affiliations":[{"raw_affiliation_string":"Allen Institute for AI,","institution_ids":["https://openalex.org/I4210140341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039581681"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.8569,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84714605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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/T10215","display_name":"Semantic Web and Ontologies","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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":0.7478183507919312},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6253951787948608},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5629873275756836},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5196479558944702},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5137887597084045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4976682960987091},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17802917957305908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7478183507919312},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6253951787948608},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5629873275756836},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5196479558944702},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5137887597084045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4976682960987091},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17802917957305908}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d16-1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1151","pdf_url":"https://www.aclweb.org/anthology/D16-1151.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d16-1151","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d16-1151","pdf_url":"https://www.aclweb.org/anthology/D16-1151.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 2016 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2561413761.pdf","grobid_xml":"https://content.openalex.org/works/W2561413761.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W11155487","https://openalex.org/W579354863","https://openalex.org/W1614298861","https://openalex.org/W1810532455","https://openalex.org/W1901148298","https://openalex.org/W2058008886","https://openalex.org/W2075745145","https://openalex.org/W2078285016","https://openalex.org/W2078658491","https://openalex.org/W2080635174","https://openalex.org/W2080858550","https://openalex.org/W2111024941","https://openalex.org/W2115792525","https://openalex.org/W2118585731","https://openalex.org/W2123442489","https://openalex.org/W2130810407","https://openalex.org/W2134612861","https://openalex.org/W2159156933","https://openalex.org/W2161951443","https://openalex.org/W2178887482","https://openalex.org/W2251332263","https://openalex.org/W2251495238","https://openalex.org/W2252016937","https://openalex.org/W2512994153","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2055243143","https://openalex.org/W2392760275","https://openalex.org/W2083530853","https://openalex.org/W2982905616","https://openalex.org/W2009831055","https://openalex.org/W2393172683","https://openalex.org/W2368686738"],"abstract_inverted_index":{"For":[0],"AI":[1],"systems":[2,53],"to":[3,11,29,46],"reason":[4],"about":[5,36,60],"real":[6],"world":[7],"situations,":[8],"they":[9,72],"need":[10],"recognize":[12],"which":[13,19],"processes":[14],"are":[15,68],"at":[16],"play":[17,21],"and":[18,71],"entities":[20],"key":[22],"roles":[23],"in":[24],"them.":[25],"Our":[26],"goal":[27],"is":[28,44],"extract":[30,55],"this":[31],"kind":[32],"of":[33,63,81],"rolebased":[34],"knowledge":[35,43],"processes,":[37],"from":[38],"multiple":[39],"sentence-level":[40],"descriptions.":[41],"This":[42],"hard":[45],"acquire;":[47],"while":[48],"semantic":[49],"role":[50,58],"labeling":[51],"(SRL)":[52],"can":[54],"sentence":[56],"level":[57],"information":[59],"individual":[61],"mentions":[62],"a":[64,77,82],"process,":[65],"their":[66],"results":[67],"often":[69],"noisy":[70],"do":[73],"not":[74],"attempt":[75],"create":[76],"globally":[78],"consistent":[79],"characterization":[80],"process.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
