{"id":"https://openalex.org/W2949334784","doi":"https://doi.org/10.18653/v1/p19-1445","title":"EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition","display_name":"EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949334784","doi":"https://doi.org/10.18653/v1/p19-1445","mag":"2949334784"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1445","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1445","pdf_url":"https://www.aclweb.org/anthology/P19-1445.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1445.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112522628","display_name":"Subhradeep Kayal","orcid":null},"institutions":[{"id":"https://openalex.org/I1318003438","display_name":"RELX Group (Netherlands)","ror":"https://ror.org/02scfj030","country_code":"NL","type":"company","lineage":["https://openalex.org/I1318003438","https://openalex.org/I4210160603"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Subhradeep Kayal","raw_affiliation_strings":["Elsevier B.V. Amsterdam, NL"],"affiliations":[{"raw_affiliation_string":"Elsevier B.V. Amsterdam, NL","institution_ids":["https://openalex.org/I1318003438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080654893","display_name":"George Tsatsaronis","orcid":"https://orcid.org/0000-0003-2116-2933"},"institutions":[{"id":"https://openalex.org/I1318003438","display_name":"RELX Group (Netherlands)","ror":"https://ror.org/02scfj030","country_code":"NL","type":"company","lineage":["https://openalex.org/I1318003438","https://openalex.org/I4210160603"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"George Tsatsaronis","raw_affiliation_strings":["Elsevier B.V. Amsterdam, NL"],"affiliations":[{"raw_affiliation_string":"Elsevier B.V. Amsterdam, NL","institution_ids":["https://openalex.org/I1318003438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112522628"],"corresponding_institution_ids":["https://openalex.org/I1318003438"],"apc_list":null,"apc_paid":null,"fwci":1.8202,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88971324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4536","last_page":"4546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9750999808311462,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9659000039100647,"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/automatic-summarization","display_name":"Automatic summarization","score":0.7658049464225769},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7571708559989929},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7062903642654419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6974608302116394},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6288951635360718},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5590152144432068},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5434151291847229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5011234283447266},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4792592525482178},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47034409642219543},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.46532413363456726},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4611952304840088},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.41614678502082825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3820493817329407},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3604958653450012},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33284491300582886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23128288984298706},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06759509444236755}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7658049464225769},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7571708559989929},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7062903642654419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6974608302116394},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6288951635360718},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5590152144432068},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5434151291847229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011234283447266},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4792592525482178},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47034409642219543},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.46532413363456726},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4611952304840088},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.41614678502082825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3820493817329407},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3604958653450012},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33284491300582886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23128288984298706},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06759509444236755},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1445","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1445","pdf_url":"https://www.aclweb.org/anthology/P19-1445.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/p19-1445","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1445","pdf_url":"https://www.aclweb.org/anthology/P19-1445.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":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949334784.pdf","grobid_xml":"https://content.openalex.org/works/W2949334784.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1486649854","https://openalex.org/W1566289585","https://openalex.org/W1840435438","https://openalex.org/W2014356541","https://openalex.org/W2031614119","https://openalex.org/W2071128523","https://openalex.org/W2101234009","https://openalex.org/W2131744502","https://openalex.org/W2153579005","https://openalex.org/W2158139315","https://openalex.org/W2172945660","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2402144811","https://openalex.org/W2611669587","https://openalex.org/W2613314665","https://openalex.org/W2752172973","https://openalex.org/W2785514482","https://openalex.org/W2808681756","https://openalex.org/W2896457183","https://openalex.org/W2949547296","https://openalex.org/W2951714314","https://openalex.org/W2953384591","https://openalex.org/W2962739339","https://openalex.org/W2963090765","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963850840","https://openalex.org/W2963918774","https://openalex.org/W2998704965","https://openalex.org/W3005347330","https://openalex.org/W4238805501","https://openalex.org/W4239510810","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W4297699332","https://openalex.org/W4299589691","https://openalex.org/W4300822525","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4288407670","https://openalex.org/W947140380","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255"],"abstract_inverted_index":{"Distributed":[0],"representation":[1,58],"of":[2,14,24,44,56,100,122,138,147,165,192],"words,":[3],"or":[4,38],"word":[5,15,46,204],"embeddings,":[6],"have":[7],"motivated":[8],"methods":[9,27,55],"for":[10,63],"calculating":[11,41],"semantic":[12],"representations":[13],"sequences":[16],"such":[17,36,65],"as":[18,61,82],"phrases,":[19],"sentences":[20],"and":[21,59,94,102,124,151],"paragraphs.":[22],"Most":[23],"the":[25,45,92,96,132,136,139,144,163,189,197],"existing":[26],"to":[28,34,90,157,188],"do":[29],"so":[30],"either":[31],"use":[32],"algorithms":[33],"learn":[35],"representations,":[37],"improve":[39],"on":[40,155,172],"weighted":[42],"averages":[43],"vectors.":[47],"In":[48,72],"this":[49,110,142,166],"work,":[50],"we":[51,74,113],"experiment":[52],"with":[53,202],"spectral":[54,149],"signal":[57,152],"summarization":[60,153],"mechanisms":[62],"constructing":[64],"word-sequence":[66],"embeddings":[67,171,198],"in":[68,79,119,168],"an":[69,76,126],"unsupervised":[70],"fashion.":[71],"particular,":[73],"explore":[75],"algorithm":[77,167],"rooted":[78],"fluid-dynamics,":[80],"known":[81],"higher-order":[83],"Dynamic":[84],"Mode":[85],"Decomposition,":[86],"which":[87,112],"is":[88,106,143,183],"designed":[89],"capture":[91],"eigenfrequencies,":[93],"hence":[95],"fundamental":[97],"transition":[98],"dynamics,":[99],"periodic":[101],"quasi-periodic":[103],"systems.":[104],"It":[105],"empirically":[107],"observed":[108],"that":[109,128],"approach,":[111],"call":[114],"EigenSent,":[115],"can":[116,129],"summarize":[117],"transitions":[118],"a":[120,148],"sequence":[121,133],"words":[123],"generate":[125],"embedding":[127],"represent":[130],"well":[131],"itself.":[134],"To":[135],"best":[137],"authors'":[140],"knowledge,":[141],"first":[145],"application":[146],"decomposition":[150],"technique":[154],"text,":[156],"create":[158],"sentence":[159,170],"embeddings.":[160],"We":[161],"test":[162],"efficacy":[164],"creating":[169],"three":[173],"public":[174],"datasets,":[175],"where":[176],"it":[177,182],"performs":[178],"appreciably":[179],"well.":[180],"Moreover":[181],"also":[184],"shown":[185],"that,":[186],"due":[187],"positive":[190],"combination":[191],"their":[193],"complementary":[194],"properties,":[195],"concatenating":[196],"generated":[199],"by":[200],"EigenSent":[201],"simple":[203],"vector":[205],"averaging":[206],"achieves":[207],"state-of-the-art":[208],"results.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-02-24T19:35:01.260952","created_date":"2025-10-10T00:00:00"}