{"id":"https://openalex.org/W2795423989","doi":"https://doi.org/10.1109/devlrn.2017.8329805","title":"Understanding natural language sentences with word embedding and multi-modal interaction","display_name":"Understanding natural language sentences with word embedding and multi-modal interaction","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2795423989","doi":"https://doi.org/10.1109/devlrn.2017.8329805","mag":"2795423989"},"language":"en","primary_location":{"id":"doi:10.1109/devlrn.2017.8329805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2017.8329805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","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/A5030956545","display_name":"Junpei Zhong","orcid":"https://orcid.org/0000-0001-7642-2961"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["GB","JP"],"is_corresponding":true,"raw_author_name":"Junpei Zhong","raw_affiliation_strings":["Centre for Robotics and Neural Systems, Plymouth University, Plymouth, UK","National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics and Neural Systems, Plymouth University, Plymouth, UK","institution_ids":["https://openalex.org/I897542642"]},{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055922202","display_name":"Tetsuya Ogata","orcid":"https://orcid.org/0000-0001-7015-0379"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Ogata","raw_affiliation_strings":["Lab for Intelligent Dynamics and Representation, Waseda University, Tokyo, Japan","National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Lab for Intelligent Dynamics and Representation, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091768977","display_name":"Angelo Cangelosi","orcid":"https://orcid.org/0000-0002-4709-2243"},"institutions":[{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Angelo Cangelosi","raw_affiliation_strings":["Centre for Robotics and Neural Systems, Plymouth University, Plymouth, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Robotics and Neural Systems, Plymouth University, Plymouth, UK","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019906827","display_name":"Chenguang Yang","orcid":"https://orcid.org/0000-0001-5255-5559"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chenguang Yang","raw_affiliation_strings":["College of Engineering, Swansea University, Swansea, UK"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Swansea University, Swansea, UK","institution_ids":["https://openalex.org/I39586589"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030956545"],"corresponding_institution_ids":["https://openalex.org/I73613424","https://openalex.org/I897542642"],"apc_list":null,"apc_paid":null,"fwci":1.2471,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8596515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"184","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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/T12031","display_name":"Speech and dialogue systems","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8556565642356873},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7232999205589294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6920784711837769},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.600692868232727},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.5618109703063965},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4950534403324127},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.49308010935783386},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4520164132118225},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4280851483345032},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4272438585758209},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.41099289059638977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556565642356873},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7232999205589294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920784711837769},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.600692868232727},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.5618109703063965},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4950534403324127},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.49308010935783386},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4520164132118225},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4280851483345032},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4272438585758209},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.41099289059638977},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/devlrn.2017.8329805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/devlrn.2017.8329805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/a7691b17-0a4f-4446-8bcc-8597d9c651cb","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/a7691b17-0a4f-4446-8bcc-8597d9c651cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Zhong, J, Ogata, T, Cangelosi, A & Yang, C 2018, Understanding natural language sentences with word embedding and multi-modal interaction. in 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017. vol. 2018-January, IEEE, pp. 184-189, 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017, Lisbon, Portugal, 18/09/17. https://doi.org/10.1109/DEVLRN.2017.8329805","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W21629204","https://openalex.org/W46490633","https://openalex.org/W196918449","https://openalex.org/W1590229582","https://openalex.org/W1614298861","https://openalex.org/W1924770834","https://openalex.org/W1965248225","https://openalex.org/W1982250103","https://openalex.org/W1994598263","https://openalex.org/W1995304820","https://openalex.org/W2028418738","https://openalex.org/W2069809153","https://openalex.org/W2076748564","https://openalex.org/W2077597530","https://openalex.org/W2096203066","https://openalex.org/W2107878631","https://openalex.org/W2110525007","https://openalex.org/W2118781169","https://openalex.org/W2143623899","https://openalex.org/W2172056482","https://openalex.org/W2186283982","https://openalex.org/W2250539671","https://openalex.org/W2389918067","https://openalex.org/W2473558390","https://openalex.org/W2590462708","https://openalex.org/W2950577311","https://openalex.org/W2963964519","https://openalex.org/W2964199361","https://openalex.org/W3147794100","https://openalex.org/W6677564776"],"related_works":["https://openalex.org/W2946409105","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W3133567596","https://openalex.org/W2798009317","https://openalex.org/W3203949288","https://openalex.org/W4382201653","https://openalex.org/W3175524270","https://openalex.org/W2998070955"],"abstract_inverted_index":{"Understanding":[0],"and":[1,32,46,110],"grounding":[2],"human":[3,86],"commands":[4],"with":[5,89,127],"natural":[6,37,49,80,116],"languages":[7],"have":[8,19,52],"been":[9,20],"a":[10,77,123,143],"fundamental":[11],"requirement":[12],"for":[13,142],"service":[14],"robotic":[15],"applications.":[16],"Although":[17],"there":[18],"several":[21],"attempts":[22],"toward":[23],"this":[24,57,96],"goal,":[25],"the":[26,34,44,60,90],"bottleneck":[27],"still":[28],"exists":[29],"to":[30,55,71],"store":[31],"process":[33],"corpora":[35],"of":[36,62,79],"language":[38,50,81,92,117,139],"in":[39,115,122],"an":[40],"interaction":[41],"system.":[42],"Currently,":[43],"neural-":[45],"statistical-based":[47],"(N&S)":[48],"processing":[51,67,93],"shown":[53],"potential":[54],"solve":[56],"problem.":[58],"With":[59],"availability":[61],"large":[63],"data-sets":[64],"nowadays,":[65],"these":[66],"methods":[68],"are":[69],"able":[70],"extract":[72],"semantic":[73],"relationships":[74],"while":[75],"parsing":[76],"corpus":[78],"(NL)":[82],"text":[83],"without":[84],"much":[85],"design,":[87],"compared":[88],"rule-based":[91],"methods.":[94],"In":[95],"paper,":[97],"we":[98],"show":[99],"that":[100],"how":[101],"two":[102,128],"N&S":[103],"based":[104],"word":[105],"embedding":[106],"methods,":[107],"called":[108],"Word2vec":[109],"GloVe,":[111],"can":[112],"be":[113],"used":[114],"understanding":[118,140],"as":[119],"pre-training":[120],"tools":[121],"multi-modal":[124],"environment.":[125],"Together":[126],"different":[129],"multiple":[130],"time-scale":[131],"recurrent":[132],"neural":[133,138],"models,":[134],"they":[135],"form":[136],"hybrid":[137],"models":[141],"robot":[144],"manipulation":[145],"experiment.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
