{"id":"https://openalex.org/W2017881743","doi":"https://doi.org/10.1017/s135132491200006x","title":"Special issue on statistical learning of natural language structured input and output","display_name":"Special issue on statistical learning of natural language structured input and output","publication_year":2012,"publication_date":"2012-03-14","ids":{"openalex":"https://openalex.org/W2017881743","doi":"https://doi.org/10.1017/s135132491200006x","mag":"2017881743"},"language":"en","primary_location":{"id":"doi:10.1017/s135132491200006x","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s135132491200006x","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/149D2C6A627ABD9780775826ABE2BA95/S135132491200006Xa.pdf/div-class-title-special-issue-on-statistical-learning-of-natural-language-structured-input-and-output-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/149D2C6A627ABD9780775826ABE2BA95/S135132491200006Xa.pdf/div-class-title-special-issue-on-statistical-learning-of-natural-language-structured-input-and-output-div.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103372090","display_name":"Llu\u0131\u0301s M\u00e0rquez","orcid":null},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"LLU\u00cdS M\u00c0RQUEZ","raw_affiliation_strings":["TALP Research Center, Technical University of Catalonia, Barcelona, Spain e-mail:","Talp research center, technical university of catalonia, barcelona, spain e-mail: lluism@lsi.upc.edu#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TALP Research Center, Technical University of Catalonia, Barcelona, Spain e-mail:","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Talp research center, technical university of catalonia, barcelona, spain e-mail: lluism@lsi.upc.edu#TAB#","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056376686","display_name":"Alessandro Moschitti","orcid":"https://orcid.org/0000-0003-2216-8034"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"ALESSANDRO MOSCHITTI","raw_affiliation_strings":["University of Trento, Povo (TN), Italy e-mail:","University of trento, povo (tn), italy e-mail: moschitti@disi.unitn.it#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento, Povo (TN), Italy e-mail:","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"University of trento, povo (tn), italy e-mail: moschitti@disi.unitn.it#TAB#","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","first_page":"147","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","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/T10215","display_name":"Semantic Web and Ontologies","score":0.989799976348877,"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":0.8626013994216919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7422456741333008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6393172144889832},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5314292907714844},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5029086470603943},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.49827122688293457},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.45567142963409424},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.44961637258529663},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4418143630027771},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4225104749202728},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.41465508937835693},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4065244197845459},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.30460619926452637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8626013994216919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7422456741333008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6393172144889832},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5314292907714844},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5029086470603943},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.49827122688293457},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.45567142963409424},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.44961637258529663},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4418143630027771},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4225104749202728},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.41465508937835693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4065244197845459},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30460619926452637},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s135132491200006x","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s135132491200006x","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/149D2C6A627ABD9780775826ABE2BA95/S135132491200006Xa.pdf/div-class-title-special-issue-on-statistical-learning-of-natural-language-structured-input-and-output-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/95577","is_oa":true,"landing_page_url":"http://hdl.handle.net/11572/95577","pdf_url":"http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8511911","source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1017/s135132491200006x","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s135132491200006x","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/149D2C6A627ABD9780775826ABE2BA95/S135132491200006Xa.pdf/div-class-title-special-issue-on-statistical-learning-of-natural-language-structured-input-and-output-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2017881743.pdf","grobid_xml":"https://content.openalex.org/works/W2017881743.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1554540371","https://openalex.org/W1967200687","https://openalex.org/W2038324640","https://openalex.org/W2040004971","https://openalex.org/W2093131871","https://openalex.org/W2105842272","https://openalex.org/W2114210953","https://openalex.org/W2126851059","https://openalex.org/W2148603752","https://openalex.org/W2309755354","https://openalex.org/W2593713917","https://openalex.org/W2600716915","https://openalex.org/W2607303097","https://openalex.org/W2607849328","https://openalex.org/W2612972698","https://openalex.org/W2615497679","https://openalex.org/W2792932412","https://openalex.org/W2911759240","https://openalex.org/W2930957955","https://openalex.org/W6675783020"],"related_works":["https://openalex.org/W2293063786","https://openalex.org/W2911292476","https://openalex.org/W2367925007","https://openalex.org/W3015724364","https://openalex.org/W4390550940","https://openalex.org/W4288263119","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4225162083"],"abstract_inverted_index":{"Abstract":[0],"During":[1],"last":[2],"decade,":[3],"machine":[4,34,47,209],"learning":[5,48,158,179,210],"and,":[6],"in":[7,19,105,117,177,272,293],"particular,":[8,213],"statistical":[9,157],"approaches":[10,201],"have":[11,167],"become":[12],"more":[13,15,63],"and":[14,24,44,53,84,96,164,195,245,250,268,283],"important":[16],"for":[17,56,81,112,170,233,266],"research":[18],"Natural":[20],"Language":[21],"Processing":[22],"(NLP)":[23],"Computational":[25],"Linguistics.":[26],"Nowadays,":[27],"most":[28,207],"stakeholders":[29],"of":[30,88,132,135,155,220],"the":[31,66,73,133,156,197,206,214,218,253],"field":[32],"use":[33,219],"learning,":[35],"as":[36,129],"it":[37],"can":[38,287],"significantly":[39],"enhance":[40],"both":[41,76],"system":[42,67],"design":[43],"performance.":[45],"However,":[46],"requires":[49],"careful":[50],"parameter":[51],"tuning":[52],"feature":[54],"engineering":[55],"representing":[57,82],"language":[58,236,298],"phenomena.":[59],"The":[60],"latter":[61],"becomes":[62],"complex":[64,301],"when":[65],"input/output":[68,223],"data":[69,175,204],"is":[70,91,275],"structured,":[71],"since":[72],"designer":[74],"has":[75,120],"to":[77,143,202,228,290],"(i)":[78],"engineer":[79],"features":[80],"structure":[83],"model":[85],"interdependent":[86],"layers":[87],"information,":[89],"which":[90],"usually":[92],"a":[93,99,130,178,262],"non-trivial":[94],"task;":[95],"(ii)":[97],"generate":[98],"structured":[100,161,203,222,270],"output":[101,127,162],"using":[102],"classifiers,":[103,138],"which,":[104],"their":[106,295],"original":[107],"form,":[108],"were":[109],"developed":[110],"only":[111],"classification":[113],"or":[114],"regression.":[115],"Research":[116],"empirical":[118],"NLP":[119,200,273],"been":[121],"tackling":[122],"this":[123,186,188,256],"problem":[124],"by":[125,147],"constructing":[126],"structures":[128],"combination":[131],"predictions":[134],"independent":[136],"local":[137],"eventually":[139],"applying":[140],"post-processing":[141],"heuristics":[142],"correct":[144],"incompatible":[145],"outputs":[146],"enforcing":[148],"global":[149,183,231],"properties.":[150],"More":[151],"recently,":[152],"some":[153,281],"advances":[154],"theory,":[159],"namely":[160],"spaces":[163],"kernel":[165],"methods,":[166],"brought":[168],"techniques":[169],"directly":[171],"encoding":[172,267],"dependencies":[173],"between":[174,248],"items":[176],"algorithm":[180],"that":[181],"performs":[182],"optimization.":[184],"Within":[185],"framework,":[187],"special":[189,257],"issue":[190,258],"aims":[191],"at":[192],"studying,":[193],"comparing,":[194],"reconciling":[196],"typical":[198],"domain/task-specific":[199],"with":[205,255],"advanced":[208],"methods.":[211],"In":[212],"selected":[215],"papers":[216],"analyze":[217],"diverse":[221,234],"approaches,":[224],"ranging":[225],"from":[226,278],"re-ranking":[227],"joint":[229],"constraint-based":[230],"models,":[232],"natural":[235,297],"tasks,":[237],"i.e.,":[238],"document":[239],"ranking,":[240],"syntactic":[241],"parsing,":[242],"sequence":[243],"supertagging,":[244],"relation":[246],"extraction":[247],"terms":[249],"entities.":[251],"Overall,":[252],"experience":[254],"shows":[259],"that,":[260],"although":[261],"definitive":[263],"unifying":[264],"theory":[265],"generating":[269],"information":[271],"applications":[274],"still":[276],"far":[277],"being":[279],"shaped,":[280],"interesting":[282],"effective":[284],"best":[285],"practice":[286],"be":[288],"defined":[289],"guide":[291],"practitioners":[292],"modeling":[294],"own":[296],"application":[299],"on":[300],"data.":[302]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}