{"id":"https://openalex.org/W3041485132","doi":"https://doi.org/10.24963/ijcai.2020/718","title":"Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract)","display_name":"Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract)","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3041485132","doi":"https://doi.org/10.24963/ijcai.2020/718","mag":"3041485132"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/718","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/718","pdf_url":"https://www.ijcai.org/proceedings/2020/0718.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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0718.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053731169","display_name":"Zhenisbek Assylbekov","orcid":"https://orcid.org/0000-0003-0095-9409"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Zhenisbek Assylbekov","raw_affiliation_strings":["Nazarbayev University","School of Sciences and Humanities, Nazarbayev University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nazarbayev University","institution_ids":["https://openalex.org/I60559429"]},{"raw_affiliation_string":"School of Sciences and Humanities, Nazarbayev University","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029285634","display_name":"Rustem Takhanov","orcid":"https://orcid.org/0000-0001-7405-8254"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Rustem Takhanov","raw_affiliation_strings":["Nazarbayev University","School of Sciences and Humanities, Nazarbayev University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nazarbayev University","institution_ids":["https://openalex.org/I60559429"]},{"raw_affiliation_string":"School of Sciences and Humanities, Nazarbayev University","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06897033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5115","last_page":"5119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9959999918937683,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9954000115394592,"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/word","display_name":"Word (group theory)","score":0.8589545488357544},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7204402685165405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741499900817871},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6682141423225403},{"id":"https://openalex.org/keywords/tying","display_name":"Tying","score":0.5532941222190857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4751993417739868},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41766226291656494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2940841019153595},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0592290461063385}],"concepts":[{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.8589545488357544},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7204402685165405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741499900817871},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6682141423225403},{"id":"https://openalex.org/C2780938662","wikidata":"https://www.wikidata.org/wiki/Q973710","display_name":"Tying","level":2,"score":0.5532941222190857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4751993417739868},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41766226291656494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2940841019153595},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0592290461063385},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/718","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/718","pdf_url":"https://www.ijcai.org/proceedings/2020/0718.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"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/718","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/718","pdf_url":"https://www.ijcai.org/proceedings/2020/0718.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":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327695","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041485132.pdf","grobid_xml":"https://content.openalex.org/works/W3041485132.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1615991656","https://openalex.org/W2050715692","https://openalex.org/W2053782355","https://openalex.org/W2053921957","https://openalex.org/W2075984423","https://openalex.org/W2125031621","https://openalex.org/W2131571251","https://openalex.org/W2137735870","https://openalex.org/W2140679639","https://openalex.org/W2250189634","https://openalex.org/W2250539671","https://openalex.org/W2251012068","https://openalex.org/W2328187444","https://openalex.org/W2510403706","https://openalex.org/W2518186251","https://openalex.org/W2549416390","https://openalex.org/W2741613777","https://openalex.org/W2759848268","https://openalex.org/W2807140737","https://openalex.org/W2891698435","https://openalex.org/W2962828982","https://openalex.org/W2963347649","https://openalex.org/W4243997607","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2998037107","https://openalex.org/W1597439699","https://openalex.org/W2905749112","https://openalex.org/W2346530426","https://openalex.org/W3099354896","https://openalex.org/W4287599800","https://openalex.org/W4312264180","https://openalex.org/W3046869600","https://openalex.org/W2971810784","https://openalex.org/W2296205523"],"abstract_inverted_index":{"This":[0],"paper":[1],"takes":[2],"a":[3,66,89,97],"step":[4],"towards":[5],"the":[6,10,30,49,59,86,105],"theoretical":[7],"analysis":[8],"of":[9,32,80,92,101],"relationship":[11],"between":[12],"word":[13,33,81],"embeddings":[14,17],"and":[15,37],"context":[16,35,76],"in":[18,72,83,104],"models":[19],"such":[20],"as":[21],"word2vec.":[22],"We":[23],"start":[24],"from":[25],"basic":[26],"probabilistic":[27],"assumptions":[28,41,58],"on":[29],"nature":[31],"vectors,":[34,36],"text":[38],"generation.":[39],"These":[40],"are":[42,78],"supported":[43],"either":[44],"empirically":[45],"or":[46],"theoretically":[47,98],"by":[48],"existing":[50],"literature.":[51],"Next,":[52],"we":[53,95],"show":[54],"that":[55,75],"under":[56],"these":[57],"widely-used":[60],"word-word":[61],"PMI":[62],"matrix":[63],"is":[64],"approximately":[65,84],"random":[67],"symmetric":[68],"Gaussian":[69],"ensemble.":[70],"This,":[71],"turn,":[73],"implies":[74],"vectors":[77,82],"reflections":[79],"half":[85],"dimensions.":[87],"As":[88],"direct":[90],"application":[91],"our":[93],"result,":[94],"suggest":[96],"grounded":[99],"way":[100],"tying":[102],"weights":[103],"SGNS":[106],"model.":[107]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
