{"id":"https://openalex.org/W3155960641","doi":"https://doi.org/10.18653/v1/2021.gwc-1.10","title":"Extraction of Common-Sense Relations from Procedural Task Instructions using BERT","display_name":"Extraction of Common-Sense Relations from Procedural Task Instructions using BERT","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3155960641","doi":"https://doi.org/10.18653/v1/2021.gwc-1.10","mag":"3155960641"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2021.gwc-1.10","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.gwc-1.10","pdf_url":"https://aclanthology.org/2021.gwc-1.10.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 11th Global Wordnet Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2021.gwc-1.10.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005558095","display_name":"Viktor Losing","orcid":"https://orcid.org/0000-0002-7444-1904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viktor Losing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007557773","display_name":"Lydia Fischer","orcid":"https://orcid.org/0009-0008-8582-5365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lydia Fischer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084195366","display_name":"J\u00f6rg Deigm\u00f6ller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J\u00f6rg Deigm\u00f6ller","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4396,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59442613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"90"},"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":0.9995999932289124,"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/T13629","display_name":"Text Readability and Simplification","score":0.9818999767303467,"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":0.7806100845336914},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6530970931053162},{"id":"https://openalex.org/keywords/common-sense","display_name":"Common sense","score":0.639586329460144},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6010832786560059},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.555143415927887},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5543458461761475},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5425366759300232},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.533261239528656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5245164632797241},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5125629901885986},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4741974472999573},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45443621277809143},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4031020998954773},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11403530836105347},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.09441113471984863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806100845336914},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6530970931053162},{"id":"https://openalex.org/C2779814899","wikidata":"https://www.wikidata.org/wiki/Q332880","display_name":"Common sense","level":2,"score":0.639586329460144},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6010832786560059},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.555143415927887},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5543458461761475},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5425366759300232},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.533261239528656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5245164632797241},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5125629901885986},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4741974472999573},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45443621277809143},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4031020998954773},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11403530836105347},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.09441113471984863},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2021.gwc-1.10","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.gwc-1.10","pdf_url":"https://aclanthology.org/2021.gwc-1.10.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 11th Global Wordnet Conference","raw_type":"proceedings-article"},{"id":"mag:3155960641","is_oa":false,"landing_page_url":"https://aclanthology.org/2021.gwc-1.10/","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/v1/2021.gwc-1.10","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2021.gwc-1.10","pdf_url":"https://aclanthology.org/2021.gwc-1.10.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 11th Global Wordnet Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3155960641.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W13682356","https://openalex.org/W1552847225","https://openalex.org/W1984106238","https://openalex.org/W2022166150","https://openalex.org/W2079252443","https://openalex.org/W2080133951","https://openalex.org/W2136480620","https://openalex.org/W2158847908","https://openalex.org/W2166400110","https://openalex.org/W2471164729","https://openalex.org/W2740432174","https://openalex.org/W2753628379","https://openalex.org/W2785265351","https://openalex.org/W2798370388","https://openalex.org/W2798381503","https://openalex.org/W2876243767","https://openalex.org/W2891211628","https://openalex.org/W2896739098","https://openalex.org/W2897037347","https://openalex.org/W2950339735","https://openalex.org/W2960416371","https://openalex.org/W2963341956","https://openalex.org/W2963748441","https://openalex.org/W2963829073","https://openalex.org/W2971236147","https://openalex.org/W2971998405","https://openalex.org/W2975998869","https://openalex.org/W3034602344"],"related_works":["https://openalex.org/W2974184401","https://openalex.org/W2181829519","https://openalex.org/W3154903254","https://openalex.org/W3088330127","https://openalex.org/W2980507720","https://openalex.org/W3090028958","https://openalex.org/W3186468809","https://openalex.org/W1886172393","https://openalex.org/W2769515719","https://openalex.org/W2253068693","https://openalex.org/W2566468052","https://openalex.org/W2329628912","https://openalex.org/W1486181112","https://openalex.org/W2044185127","https://openalex.org/W3123544595","https://openalex.org/W2977857619","https://openalex.org/W3049721708","https://openalex.org/W2997521893","https://openalex.org/W1585692976","https://openalex.org/W2997283613"],"abstract_inverted_index":{"Manipulation-relevant":[0],"common-sense":[1,47,82,100],"knowledge":[2,48],"is":[3,32],"crucial":[4],"to":[5,26,127,131],"support":[6],"action-planning":[7],"for":[8,43],"complex":[9],"tasks.":[10],"In":[11,114],"particular,":[12],"instrumentality":[13],"information":[14,60,83],"of":[15,38,59,72,142],"what":[16],"can":[17,23,84],"be":[18,24,86],"done":[19],"with":[20,35,91,108],"certain":[21],"tools":[22],"used":[25],"limit":[27],"the":[28,36,69,99,124],"search":[29],"space":[30],"which":[31,61],"growing":[33],"exponentially":[34],"number":[37],"viable":[39],"options.":[40],"Typical":[41],"sources":[42],"such":[44,50,76],"knowledge,":[45],"structured":[46],"bases":[49],"as":[51,77],"ConceptNet":[52,104],"or":[53],"WebChild,":[54],"provide":[55],"a":[56,119,136,140],"limited":[57],"amount":[58],"also":[62],"varies":[63],"drastically":[64],"across":[65],"different":[66],"domains.":[67],"Considering":[68],"recent":[70],"success":[71],"pre-trained":[73],"language":[74],"models":[75],"BERT,":[78],"we":[79,97,117],"investigate":[80],"whether":[81],"directly":[85],"extracted":[87,107],"from":[88,103,110],"semi-structured":[89],"text":[90],"an":[92],"acceptable":[93],"annotation":[94],"effort.":[95],"Concretely,":[96],"compare":[98],"relations":[101],"obtained":[102],"versus":[105],"those":[106],"BERT":[109],"large":[111],"recipe":[112],"databases.":[113],"this":[115],"context,":[116],"propose":[118],"scoring":[120],"function,":[121],"based":[122],"on":[123],"WordNet":[125],"taxonomy":[126],"match":[128],"specific":[129],"terms":[130],"more":[132],"general":[133],"ones,":[134],"enabling":[135],"rich":[137],"evaluation":[138],"against":[139],"set":[141],"ground-truth":[143],"relations.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2021-04-26T00:00:00"}