{"id":"https://openalex.org/W2970719206","doi":"https://doi.org/10.18653/v1/d19-1059","title":"Parameter-free Sentence Embedding via Orthogonal Basis","display_name":"Parameter-free Sentence Embedding via Orthogonal Basis","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970719206","doi":"https://doi.org/10.18653/v1/d19-1059","mag":"2970719206"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1059","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1059","pdf_url":"https://www.aclweb.org/anthology/D19-1059.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1059.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103178888","display_name":"Ziyi Yang","orcid":"https://orcid.org/0000-0001-9849-0180"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyi Yang","raw_affiliation_strings":["Department of Mechanical Engineering, Stanford university"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stanford university","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034687114","display_name":"Chenguang Zhu","orcid":"https://orcid.org/0000-0001-6955-8924"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenguang Zhu","raw_affiliation_strings":["Microsoft Speech and Dialogue Research Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Speech and Dialogue Research Group","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051745436","display_name":"Weizhu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weizhu Chen","raw_affiliation_strings":["Microsoft Dynamics 365 AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Dynamics 365 AI","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.499,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94725639,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"638","last_page":"648"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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":0.9973999857902527,"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":0.7070176601409912},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.6624420881271362},{"id":"https://openalex.org/keywords/chen","display_name":"Chen","score":0.6376543641090393},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6342035531997681},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6101880669593811},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5674930810928345},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5376725196838379},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47794488072395325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4398065507411957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16341790556907654},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10935801267623901}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7070176601409912},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6624420881271362},{"id":"https://openalex.org/C2776085556","wikidata":"https://www.wikidata.org/wiki/Q183361","display_name":"Chen","level":2,"score":0.6376543641090393},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6342035531997681},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6101880669593811},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5674930810928345},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5376725196838379},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47794488072395325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4398065507411957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16341790556907654},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10935801267623901},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1059","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1059","pdf_url":"https://www.aclweb.org/anthology/D19-1059.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1059","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1059","pdf_url":"https://www.aclweb.org/anthology/D19-1059.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970719206.pdf","grobid_xml":"https://content.openalex.org/works/W2970719206.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W348133106","https://openalex.org/W1486649854","https://openalex.org/W1814992895","https://openalex.org/W1980776243","https://openalex.org/W2014902591","https://openalex.org/W2114524997","https://openalex.org/W2144211451","https://openalex.org/W2153579005","https://openalex.org/W2160660844","https://openalex.org/W2163455955","https://openalex.org/W2250539671","https://openalex.org/W2251869843","https://openalex.org/W2251939518","https://openalex.org/W2605035112","https://openalex.org/W2611071287","https://openalex.org/W2751698296","https://openalex.org/W2752172973","https://openalex.org/W2753410294","https://openalex.org/W2786464815","https://openalex.org/W2793381978","https://openalex.org/W2794557536","https://openalex.org/W2798583685","https://openalex.org/W2887005207","https://openalex.org/W2896457183","https://openalex.org/W2949380545","https://openalex.org/W2952186591","https://openalex.org/W2963090765","https://openalex.org/W2963149412","https://openalex.org/W2963292194","https://openalex.org/W2963341956","https://openalex.org/W2963355447","https://openalex.org/W2963403868","https://openalex.org/W2963499246","https://openalex.org/W2963644595","https://openalex.org/W2963804993","https://openalex.org/W2963899155","https://openalex.org/W2963918774","https://openalex.org/W2964212550","https://openalex.org/W2964230347","https://openalex.org/W3104033643","https://openalex.org/W4294170691","https://openalex.org/W4295803813","https://openalex.org/W4300822525","https://openalex.org/W4313908941","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2370310922","https://openalex.org/W2386975637","https://openalex.org/W2891436901","https://openalex.org/W2388837937","https://openalex.org/W2087355708","https://openalex.org/W2385339070","https://openalex.org/W4291238811","https://openalex.org/W2390434941","https://openalex.org/W2385344059","https://openalex.org/W2597655663"],"abstract_inverted_index":{"Ziyi":[0],"Yang,":[1],"Chenguang":[2],"Zhu,":[3],"Weizhu":[4],"Chen.":[5],"Proceedings":[6],"of":[7],"the":[8,19],"2019":[9],"Conference":[10,23],"on":[11,24],"Empirical":[12],"Methods":[13],"in":[14],"Natural":[15,25],"Language":[16,26],"Processing":[17,27],"and":[18],"9th":[20],"International":[21],"Joint":[22],"(EMNLP-IJCNLP).":[28],"2019.":[29]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
