{"id":"https://openalex.org/W2953316075","doi":"https://doi.org/10.18653/v1/p19-1322","title":"Delta Embedding Learning","display_name":"Delta Embedding Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953316075","doi":"https://doi.org/10.18653/v1/p19-1322","mag":"2953316075"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1322","pdf_url":"https://www.aclweb.org/anthology/P19-1322.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1322.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100320842","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0001-6864-2921"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014958566","display_name":"Ji Wu","orcid":"https://orcid.org/0000-0001-6170-726X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Wu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066063885","display_name":"Dejing Dou","orcid":"https://orcid.org/0000-0001-7561-1672"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dejing Dou","raw_affiliation_strings":["Department of Computer and Information Science, University of Oregon"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Oregon","institution_ids":["https://openalex.org/I181233156"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100320842"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06106747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3329","last_page":"3334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/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/T11550","display_name":"Text and Document Classification Technologies","score":0.9973000288009644,"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":0.7928072214126587},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6892529129981995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6778191924095154},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6769753694534302},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6678723692893982},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6517837643623352},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6474038362503052},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6128205060958862},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5557658076286316},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45700135827064514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32201817631721497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10727831721305847},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06673857569694519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928072214126587},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6892529129981995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6778191924095154},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6769753694534302},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6678723692893982},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6517837643623352},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6474038362503052},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6128205060958862},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5557658076286316},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45700135827064514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32201817631721497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10727831721305847},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06673857569694519},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1322","pdf_url":"https://www.aclweb.org/anthology/P19-1322.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1322","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1322","pdf_url":"https://www.aclweb.org/anthology/P19-1322.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4811743277","display_name":null,"funder_award_id":"2018YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5500862960","display_name":null,"funder_award_id":"2018YFC0116800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6261258530","display_name":null,"funder_award_id":"CNS-1747798","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8726923708","display_name":null,"funder_award_id":"1747798","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953316075.pdf","grobid_xml":"https://content.openalex.org/works/W2953316075.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1503259811","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W1840435438","https://openalex.org/W1876424772","https://openalex.org/W2153579005","https://openalex.org/W2163455955","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2250930514","https://openalex.org/W2251066368","https://openalex.org/W2251253014","https://openalex.org/W2251939518","https://openalex.org/W2551396370","https://openalex.org/W2788388592","https://openalex.org/W2963748441","https://openalex.org/W2963846996","https://openalex.org/W2964232431","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W3183027292","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W3093943447","https://openalex.org/W3200224724"],"abstract_inverted_index":{"Unsupervised":[0],"word":[1,9,61,85,89,119],"embeddings":[2,29,70,86,120],"have":[3,121],"become":[4,87],"a":[5,37,81,109],"popular":[6],"approach":[7],"of":[8,28,59],"representation":[10],"in":[11,76,112],"NLP":[12,51,105],"tasks.":[13],"However":[14],"there":[15],"are":[16,74],"limitations":[17],"to":[18,32,49,53,68,71,103],"the":[19,60,69,83,101,117],"semantics":[20],"represented":[21],"by":[22,56,91],"unsupervised":[23],"embeddings,":[24],"and":[25,107],"inadequate":[26],"fine-tuning":[27],"can":[30,46],"lead":[31],"suboptimal":[33],"performance.":[34,113],"We":[35,99],"propose":[36],"novel":[38],"learning":[39],"technique":[40],"called":[41],"Delta":[42],"Embedding":[43],"Learning,":[44],"which":[45],"be":[47],"applied":[48,67],"general":[50],"tasks":[52,106],"improve":[54],"performance":[55],"optimized":[57],"tuning":[58],"embeddings.":[62],"A":[63],"structured":[64],"regularization":[65],"is":[66],"ensure":[72],"they":[73],"tuned":[75,84,118],"an":[77],"incremental":[78],"way.":[79],"As":[80],"result,":[82],"better":[88,122],"representations":[90],"absorbing":[92],"semantic":[93,123],"information":[94],"from":[95],"supervision":[96],"without":[97],"\"forgetting.\"":[98],"apply":[100],"method":[102],"various":[104],"see":[108],"consistent":[110],"improvement":[111],"Evaluation":[114],"also":[115],"confirms":[116],"properties.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}