{"id":"https://openalex.org/W2756289222","doi":"https://doi.org/10.1109/jas.2017.7510628","title":"Interpreting and extracting open knowledge for human-robot interaction","display_name":"Interpreting and extracting open knowledge for human-robot interaction","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2756289222","doi":"https://doi.org/10.1109/jas.2017.7510628","mag":"2756289222"},"language":"en","primary_location":{"id":"doi:10.1109/jas.2017.7510628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2017.7510628","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/CAA Journal of Automatica Sinica","raw_type":"journal-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/A5035888909","display_name":"Dongcai Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongcai Lu","raw_affiliation_strings":["School of Science and Technology, University of Science and Technology of China, Hefei, 230027 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, University of Science and Technology of China, Hefei, 230027 China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084710341","display_name":"Xiaoping Chen","orcid":"https://orcid.org/0000-0001-8992-9286"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Chen","raw_affiliation_strings":["School of Science and Technology, University of Science and Technology of China, Hefei, 230027 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, University of Science and Technology of China, Hefei, 230027 China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.1963,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84802391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"4","issue":"4","first_page":"686","last_page":"695"},"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":0.9987000226974487,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.989799976348877,"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":0.8257631063461304},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6332516670227051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6280127167701721},{"id":"https://openalex.org/keywords/combinatory-categorial-grammar","display_name":"Combinatory categorial grammar","score":0.5850830674171448},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5594828128814697},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5523258447647095},{"id":"https://openalex.org/keywords/semantic-interpretation","display_name":"Semantic interpretation","score":0.5445334315299988},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4671351909637451},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.46146494150161743},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4505874514579773},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4303598701953888},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.420812726020813},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37860044836997986},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2061537504196167},{"id":"https://openalex.org/keywords/context-free-grammar","display_name":"Context-free grammar","score":0.15292847156524658},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08594492077827454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257631063461304},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6332516670227051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6280127167701721},{"id":"https://openalex.org/C199837984","wikidata":"https://www.wikidata.org/wiki/Q730974","display_name":"Combinatory categorial grammar","level":5,"score":0.5850830674171448},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5594828128814697},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5523258447647095},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.5445334315299988},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4671351909637451},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.46146494150161743},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4505874514579773},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4303598701953888},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.420812726020813},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37860044836997986},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2061537504196167},{"id":"https://openalex.org/C97212296","wikidata":"https://www.wikidata.org/wiki/Q338047","display_name":"Context-free grammar","level":3,"score":0.15292847156524658},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08594492077827454},{"id":"https://openalex.org/C134083981","wikidata":"https://www.wikidata.org/wiki/Q1754022","display_name":"Tree-adjoining grammar","level":4,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jas.2017.7510628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2017.7510628","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W12836875","https://openalex.org/W115054279","https://openalex.org/W1558641428","https://openalex.org/W1578402885","https://openalex.org/W1672891595","https://openalex.org/W1977589983","https://openalex.org/W1985795534","https://openalex.org/W2001835246","https://openalex.org/W2060304006","https://openalex.org/W2094061585","https://openalex.org/W2103006268","https://openalex.org/W2108437595","https://openalex.org/W2108703536","https://openalex.org/W2114590102","https://openalex.org/W2115792525","https://openalex.org/W2116512345","https://openalex.org/W2120221335","https://openalex.org/W2142315290","https://openalex.org/W2151170651","https://openalex.org/W2156415207","https://openalex.org/W2159805834","https://openalex.org/W2168963845","https://openalex.org/W2236233024","https://openalex.org/W2250436159","https://openalex.org/W2251332263","https://openalex.org/W2251648989","https://openalex.org/W2295858588","https://openalex.org/W2394864054","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2293063786","https://openalex.org/W2911292476","https://openalex.org/W2367925007","https://openalex.org/W3015724364","https://openalex.org/W4288263119","https://openalex.org/W2967994095","https://openalex.org/W2155045354","https://openalex.org/W2623496437","https://openalex.org/W4285240985","https://openalex.org/W2900126711"],"abstract_inverted_index":{"A":[0,67],"more":[1,123],"natural":[2,18],"way":[3,49],"for":[4,37,114],"non-expert":[5],"users":[6],"to":[7,16,29,32,50,104,127,139,161],"express":[8],"their":[9],"tasks":[10],"in":[11,75,84],"an":[12,148],"open-ended":[13],"set":[14],"is":[15,27,46,169],"use":[17,96],"language.":[19],"In":[20],"this":[21,43],"case,":[22],"a":[23,47,101,122,135],"human-centered":[24],"intelligent":[25,52],"agent/robot":[26],"required":[28],"be":[30,89],"able":[31],"understand":[33],"and":[34,165],"generate":[35],"plans":[36],"these":[38],"naturally":[39],"expressed":[40],"tasks.":[41],"For":[42],"purpose,":[44],"it":[45],"good":[48],"enhance":[51],"robot's":[53],"abilities":[54],"by":[55],"utilizing":[56,71],"open":[57,72,81],"knowledge":[58,73,82],"extracted":[59],"from":[60,144],"the":[61,76,80,111,145,153,162,166],"web,":[62],"instead":[63],"of":[64,70,79,147],"hand-coded":[65],"knowledge.":[66],"key":[68],"challenge":[69],"lies":[74],"semantic":[77,115,142],"interpretation":[78],"organized":[83],"multiple":[85],"modes,":[86],"which":[87],"can":[88,95],"unstructured":[90],"or":[91],"semi-structured,":[92],"before":[93],"one":[94],"it.":[97],"Previous":[98],"approaches":[99],"used":[100],"limited":[102],"lexicon":[103],"employ":[105],"combinatory":[106],"categorial":[107],"grammar":[108],"(CCG)":[109],"as":[110],"underlying":[112],"formalism":[113],"parsing":[116],"over":[117],"sentences.":[118],"Here,":[119],"we":[120,133],"propose":[121],"effective":[124],"learning":[125],"method":[126,138,168],"interpret":[128],"semi-structured":[129],"user":[130],"instructions.":[131],"Moreover,":[132],"present":[134],"new":[136],"heuristic":[137],"recover":[140],"missing":[141],"information":[143],"context":[146],"instruction.":[149],"Experiments":[150],"showed":[151],"that":[152],"proposed":[154],"approach":[155],"renders":[156],"significant":[157],"performance":[158],"improvement":[159],"compared":[160],"baseline":[163],"methods":[164],"recovering":[167],"promising.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
