{"id":"https://openalex.org/W2167591722","doi":null,"title":"Spectral Learning of Refinement HMMs","display_name":"Spectral Learning of Refinement HMMs","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2167591722","mag":"2167591722"},"language":"en","primary_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/d6a8b6a7-493a-4ad3-8689-42d46890cebc","doi":null,"is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/portal/en/publications/spectral-learning-of-refinement-hmms(d6a8b6a7-493a-4ad3-8689-42d46890cebc).html","pdf_url":"https://www.pure.ed.ac.uk/ws/files/13582137/W13_3507.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stratos, K, Rush, A M, Cohen, S B & Collins, M 2013, Spectral Learning of Refinement HMMs. in Proceedings of CoNLL. pp. 56-64.","raw_type":"contributionToPeriodical"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.pure.ed.ac.uk/ws/files/13582137/W13_3507.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061235567","display_name":"Karl Stratos","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Stratos","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062546146","display_name":"Alexander M. Rush","orcid":"https://orcid.org/0000-0002-9900-1606","observed_orcids":["https://orcid.org/0000-0002-9900-1606"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander M. Rush","raw_affiliation_strings":["Columbia University"],"raw_orcid":"https://orcid.org/0000-0002-9900-1606","affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030503109","display_name":"Shay B. Cohen","orcid":"https://orcid.org/0000-0003-4753-8353","observed_orcids":["https://orcid.org/0000-0003-4753-8353"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shay B. Cohen","raw_affiliation_strings":["School of Informatics"],"raw_orcid":"https://orcid.org/0000-0003-4753-8353","affiliations":[{"raw_affiliation_string":"School of Informatics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079061237","display_name":"Michael Collins","orcid":"https://orcid.org/0000-0003-0997-1527","observed_orcids":["https://orcid.org/0000-0003-0997-1527","https://orcid.org/0000-0001-9832-7682","https://orcid.org/0000-0001-5226-5498","https://orcid.org/0009-0006-0119-8129"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Collins","raw_affiliation_strings":["Massachusetts Institute Of Technology#TAB#"],"raw_orcid":"https://orcid.org/0000-0003-0997-1527","affiliations":[{"raw_affiliation_string":"Massachusetts Institute Of Technology#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9886,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86494591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.7813000082969666,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.7813000082969666,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.06679999828338623,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.0348999984562397,"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/spectral-learning","display_name":"spectral learning","score":0.9100000262260437},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.734000027179718},{"id":"https://openalex.org/keywords/phoneme-recognition","display_name":"phoneme recognition","score":0.9490000009536743},{"id":"https://openalex.org/keywords/feature-functions","display_name":"feature functions","score":0.824999988079071},{"id":"https://openalex.org/keywords/local-optima-avoidance","display_name":"local optima avoidance","score":0.8130000233650208},{"id":"https://openalex.org/keywords/consistent-estimation","display_name":"consistent estimation","score":0.4480000138282776}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7855803370475769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206398248672485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6488136649131775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6466535329818726},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5632740259170532},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5496823787689209},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5280868411064148},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4668857157230377},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4490792751312256},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43744680285453796},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4365125000476837},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3873193562030792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3682623505592346},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16634950041770935},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:pure.ed.ac.uk:publications/d6a8b6a7-493a-4ad3-8689-42d46890cebc","doi":null,"is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/portal/en/publications/spectral-learning-of-refinement-hmms(d6a8b6a7-493a-4ad3-8689-42d46890cebc).html","pdf_url":"https://www.pure.ed.ac.uk/ws/files/13582137/W13_3507.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stratos, K, Rush, A M, Cohen, S B & Collins, M 2013, Spectral Learning of Refinement HMMs. in Proceedings of CoNLL. pp. 56-64.","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.310.163","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.columbia.edu/~scohen/conll13rhmm.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.377.4096","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.377.4096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/W/W13/W13-3507.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.423.5720","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.423.5720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.columbia.edu/~stratos/research/conll13rhmm.pdf","raw_type":"text"},{"id":"mag:2167591722","doi":null,"is_oa":false,"landing_page_url":"http://homepages.inf.ed.ac.uk/scohen/conll13slides.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418031","display_name":"Conference on Computational Natural Language Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Conference on Computational Natural Language Learning","raw_type":null}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/d6a8b6a7-493a-4ad3-8689-42d46890cebc","doi":null,"is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/portal/en/publications/spectral-learning-of-refinement-hmms(d6a8b6a7-493a-4ad3-8689-42d46890cebc).html","pdf_url":"https://www.pure.ed.ac.uk/ws/files/13582137/W13_3507.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stratos, K, Rush, A M, Cohen, S B & Collins, M 2013, Spectral Learning of Refinement HMMs. in Proceedings of CoNLL. pp. 56-64.","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2167591722.pdf","grobid_xml":"https://content.openalex.org/works/W2167591722.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W68810593","https://openalex.org/W104016508","https://openalex.org/W1825640910","https://openalex.org/W1978470410","https://openalex.org/W2077804127","https://openalex.org/W2097150846","https://openalex.org/W2103581346","https://openalex.org/W2121142987","https://openalex.org/W2125838338","https://openalex.org/W2138153286","https://openalex.org/W2139621418","https://openalex.org/W2140351241","https://openalex.org/W2142570735","https://openalex.org/W2149655761","https://openalex.org/W2149960632","https://openalex.org/W2152561660","https://openalex.org/W2257859587","https://openalex.org/W2294384375","https://openalex.org/W2439178139","https://openalex.org/W2964172256"],"related_works":["https://openalex.org/W1992612822","https://openalex.org/W128722654","https://openalex.org/W2517432623","https://openalex.org/W2064503213","https://openalex.org/W4299841898","https://openalex.org/W7099301621","https://openalex.org/W2396974021","https://openalex.org/W2157082798","https://openalex.org/W7099936319","https://openalex.org/W2170563926"],"abstract_inverted_index":{"We":[0],"derive":[1],"a":[2,10,23,44,53,70],"spectral":[3,33],"algorithm":[4],"for":[5],"learning":[6],"the":[7,37,48],"parameters":[8],"of":[9,26,39,47],"refinement":[11],"HMM.":[12],"This":[13],"method":[14],"is":[15],"simple,":[16],"efficient,":[17],"and":[18,42,73],"can":[19],"be":[20],"applied":[21],"to":[22],"wide":[24],"range":[25],"supervised":[27,71],"sequence":[28],"labeling":[29],"tasks.":[30],"Like":[31],"other":[32],"methods,":[34],"it":[35,65],"avoids":[36],"problem":[38],"local":[40],"optima":[41],"provides":[43],"consistent":[45],"estimate":[46],"parameters.":[49],"Our":[50],"experiments":[51],"on":[52],"phoneme":[54],"recognition":[55],"task":[56],"show":[57],"that":[58],"when":[59],"equipped":[60],"with":[61,75],"informative":[62],"feature":[63],"functions,":[64],"performs":[66],"significantly":[67],"better":[68],"than":[69],"HMM":[72],"competitively":[74],"EM.":[76],"1":[77]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}