{"id":"https://openalex.org/W2250542158","doi":"https://doi.org/10.3115/v1/e14-1062","title":"Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging","display_name":"Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2250542158","doi":"https://doi.org/10.3115/v1/e14-1062","mag":"2250542158"},"language":"en","primary_location":{"id":"doi:10.3115/v1/e14-1062","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1062","pdf_url":"https://doi.org/10.3115/v1/e14-1062","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Conference of the European Chapter 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://doi.org/10.3115/v1/e14-1062","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004953265","display_name":"Meishan Zhang","orcid":"https://orcid.org/0000-0001-6335-1340"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Meishan Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333729","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-5214-2268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019108029","display_name":"Wanxiang Che","orcid":"https://orcid.org/0000-0002-3907-0335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanxiang Che","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418156","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0002-9091-7757"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004953265"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9199,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96303733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"588","last_page":"597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9980000257492065,"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":0.9965000152587891,"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/domain-adaptation","display_name":"Domain adaptation","score":0.7888226509094238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7790205478668213},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6475655436515808},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6114596724510193},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.52675861120224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5149806141853333},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5128346085548401},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38095957040786743},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07400119304656982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06816136837005615},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.052602916955947876},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.048701196908950806}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7888226509094238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7790205478668213},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6475655436515808},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6114596724510193},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.52675861120224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5149806141853333},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5128346085548401},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38095957040786743},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07400119304656982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06816136837005615},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.052602916955947876},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.048701196908950806},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/e14-1062","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1062","pdf_url":"https://doi.org/10.3115/v1/e14-1062","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.635.468","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.635.468","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/E/E14/E14-1062.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/e14-1062","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/e14-1062","pdf_url":"https://doi.org/10.3115/v1/e14-1062","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250542158.pdf","grobid_xml":"https://content.openalex.org/works/W2250542158.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W86604388","https://openalex.org/W1515847863","https://openalex.org/W1552297528","https://openalex.org/W1591840823","https://openalex.org/W1709989312","https://openalex.org/W2036516910","https://openalex.org/W2096204319","https://openalex.org/W2099873701","https://openalex.org/W2104820387","https://openalex.org/W2104917081","https://openalex.org/W2108622839","https://openalex.org/W2109787011","https://openalex.org/W2110800741","https://openalex.org/W2112861996","https://openalex.org/W2115191221","https://openalex.org/W2116983617","https://openalex.org/W2120354757","https://openalex.org/W2120661206","https://openalex.org/W2122922389","https://openalex.org/W2127626780","https://openalex.org/W2140460010","https://openalex.org/W2143026224","https://openalex.org/W2143995218","https://openalex.org/W2158108973","https://openalex.org/W2159406587","https://openalex.org/W2160097208","https://openalex.org/W2161044106","https://openalex.org/W2162302090","https://openalex.org/W2168199177","https://openalex.org/W2250747734","https://openalex.org/W2600062427","https://openalex.org/W2785522575"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W3180787869","https://openalex.org/W2997645659","https://openalex.org/W4295929828","https://openalex.org/W3156096827","https://openalex.org/W4287890001"],"abstract_inverted_index":{"We":[0,71],"report":[1,72],"an":[2],"empirical":[3],"investigation":[4],"on":[5,42],"type-supervised":[6],"domain":[7,26,38],"adaptation":[8],"for":[9,79],"joint":[10,80],"Chinese":[11,81],"word":[12],"segmentation":[13,82],"and":[14,22,83,95,114],"POS-tagging,":[15,84],"making":[16],"use":[17],"of":[18,35,44,69,92,98],"domain-specific":[19],"tag":[20],"dictionaries":[21],"only":[23],"un-labeled":[24,93],"target":[25],"data":[27],"to":[28,55,66,118],"improve":[29],"target-domain":[30,108],"accuracies,":[31],"given":[32],"a":[33,52,76,86,96],"set":[34],"annotated":[36],"source":[37],"sentences.":[39],"Pre-vious":[40],"work":[41],"POS-tagging":[43],"other":[45],"lan-guages":[46],"showed":[47],"that":[48],"type-supervision":[49],"can":[50,116],"be":[51],"competitive":[53],"alternative":[54],"token-supervision,":[56],"while":[57],"semi-supervised":[58],"tech-niques":[59],"such":[60],"as":[61],"label":[62],"propagation":[63],"are":[64],"important":[65],"the":[67,90],"effectiveness":[68],"type-supervision.":[70],"similar":[73],"findings":[74],"using":[75],"novel":[77],"approach":[78],"under":[85],"cross-domain":[87],"setting.":[88],"With":[89],"help":[91],"sentences":[94],"lexicon":[97],"3,000":[99],"words,":[100],"we":[101],"obtain":[102],"33":[103],"%":[104],"error":[105],"reduction":[106],"in":[107],"tagging.":[109],"In":[110],"addition,":[111],"com-bined":[112],"type-":[113],"token-supervision":[115],"lead":[117],"improved":[119],"cost-effectiveness.":[120],"1":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
