{"id":"https://openalex.org/W2165500456","doi":"https://doi.org/10.1109/nlpke.2009.5313786","title":"Incorporating multi-task learning in conditional random fields for chunking in semantic role labeling","display_name":"Incorporating multi-task learning in conditional random fields for chunking in semantic role labeling","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2165500456","doi":"https://doi.org/10.1109/nlpke.2009.5313786","mag":"2165500456"},"language":"en","primary_location":{"id":"doi:10.1109/nlpke.2009.5313786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2009.5313786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064449445","display_name":"Saike He","orcid":"https://orcid.org/0000-0002-2186-4524"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saike He","raw_affiliation_strings":["School of Information & Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information & Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035509689","display_name":"Taozheng Zhang","orcid":"https://orcid.org/0000-0002-4689-3276"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taozheng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781916","display_name":"Xue Bai","orcid":"https://orcid.org/0000-0001-9717-846X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Bai","raw_affiliation_strings":["School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351304","display_name":"Xiaojie Wang","orcid":"https://orcid.org/0000-0003-0314-8951"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056136429","display_name":"Yuan Dong","orcid":"https://orcid.org/0009-0004-8650-1603"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Yuan Dong","raw_affiliation_strings":["France Telecom Research and Development Center, Beijing, China","School of Information & Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France Telecom Research and Development Center, Beijing, China","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"School of Information & Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"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":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9994000196456909,"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":0.9764000177383423,"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/conditional-random-field","display_name":"Conditional random field","score":0.9234707951545715},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.9224565029144287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8232840299606323},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.8097950220108032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6854948401451111},{"id":"https://openalex.org/keywords/treebank","display_name":"Treebank","score":0.6844034790992737},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6724755764007568},{"id":"https://openalex.org/keywords/semantic-role-labeling","display_name":"Semantic role labeling","score":0.632487416267395},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6046745777130127},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5837032794952393},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5320447683334351},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.4931325614452362},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.4444121718406677},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.33864933252334595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33357274532318115},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.1688603162765503}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9234707951545715},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.9224565029144287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232840299606323},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.8097950220108032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6854948401451111},{"id":"https://openalex.org/C206134035","wikidata":"https://www.wikidata.org/wiki/Q811525","display_name":"Treebank","level":3,"score":0.6844034790992737},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6724755764007568},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.632487416267395},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6046745777130127},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5837032794952393},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5320447683334351},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.4931325614452362},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.4444121718406677},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.33864933252334595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33357274532318115},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.1688603162765503},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nlpke.2009.5313786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nlpke.2009.5313786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Natural Language Processing and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6899999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2001792610","https://openalex.org/W2058839679","https://openalex.org/W2130903752","https://openalex.org/W2147880316","https://openalex.org/W2156515921","https://openalex.org/W2169569713","https://openalex.org/W2172251087","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W6679734692","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2962906565","https://openalex.org/W2952592458","https://openalex.org/W2898922131","https://openalex.org/W2140585957","https://openalex.org/W3015678144","https://openalex.org/W4302441680","https://openalex.org/W2609130030","https://openalex.org/W2137657024","https://openalex.org/W2165500456","https://openalex.org/W2150969560"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,29,50,93],"novel":[4],"application":[5],"of":[6,16,19,37,71],"incorporating":[7],"Alternating":[8],"Structure":[9],"Optimization":[10],"(ASO)":[11],"to":[12,48,55,66],"conduct":[13],"the":[14,35,57,69,72,86],"task":[15,74],"text":[17],"chunking":[18],"Semantic":[20],"Role":[21],"Labeling":[22],"(SRL)":[23],"in":[24,96],"Chinese":[25,99],"texts.":[26,100],"ASO":[27,61],"is":[28,85],"competent":[30],"linear":[31],"algorithm":[32,62],"based":[33],"on":[34,105],"theory":[36],"multi-task":[38,90],"learning.":[39],"In":[40],"this":[41],"paper,":[42],"by":[43,60],"constructing":[44],"several":[45],"SRL":[46,97],"tasks":[47],"constitute":[49],"multi-task,":[51],"we":[52],"are":[53],"able":[54],"encode":[56],"inference":[58],"obtained":[59],"as":[63],"additional":[64],"feature":[65],"further":[67],"boost":[68],"performance":[70],"target":[73],"employing":[75],"Conditional":[76],"Random":[77],"Fields":[78],"(CRFs).":[79],"To":[80],"our":[81,83,103],"knowledge,":[82],"method":[84],"first":[87],"that":[88],"incorporates":[89],"learning":[91],"into":[92],"statistical":[94],"model":[95],"for":[98],"We":[101],"evaluate":[102],"approach":[104],"Penn":[106],"Treebank":[107],"data":[108],"sets":[109],"and":[110],"obtain":[111],"encouraging":[112],"result.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
